Drugs, Health Technologies, Health Systems

Health Technology Review

Comparative Effectiveness of Real-Time Teleultrasound Versus In-Person Ultrasound

Key Messages

What Is the Issue?

What Did We Do?

What Did We Find?

Abbreviations

ECG

electrocardiogram

SR

systematic review

TUS

teleultrasound

Background

Ultrasonography is a portable and noninvasive imaging method that uses soundwaves to visualize internal organs, structures, and systems within the body in real time. According to the WHO, ultrasound and/or X-ray is sufficient for 80% to 90% of patients that require medical imaging for diagnosis.5 WHO considers ultrasound an essential diagnostic imaging technology, and access to ultrasound has been declared a minimal global standard. However, two-thirds of the world’s population lack access to medical imaging services.1

Ultrasound imaging is a highly operator-dependent imaging modality that requires well-trained professionals to provide accurate diagnostic exams and interpretation of exam images.1,2 The quality of an ultrasound exam varies depending on the sonographer’s experience with operating the equipment, whereas the image quality of CT or MRI exams are less dependent on the operator’s performance.2 As well, ultrasound is much more affordable and portable than CT and MRI and, unlike CT, does not expose patients to radiation.3 As a result, ultrasound is the preferred method for soft tissue imaging in cases in which the higher image quality of CT and MRI is not crucial.3

Access to ultrasound services in rural or underserved regions is often limited by the lack of qualified professionals, appropriate equipment, and insufficient infrastructure or resources.1,5,9 In Canada, less than 28% of rural emergency departments have in-house access to ultrasound, requiring patient transfers to facilities with capacity.4

Ultrasound exams are conducted by imaging professionals, and a shortage of these professionals both in Canada and in many countries worldwide has been reported.10,11 Poor job satisfaction is cited as 1 reason for high turnover rates of these health care professionals.10 As well, recruitment and retention challenges have exacerbated existing staff shortages and contribute to wait times.10,11

Limited access to ultrasound professional expertise has led to the development of TUS, an imaging technique that utilizes advances in information technology and ultrasound to support remote clinical decision-making.2,7 TUS allows for the electronic transmission of ultrasound images from 1 location to another, so images are obtained at a distance from where the interpreting ultrasound professional is located.2,9

TUS is intended to enhance patient care by offering access to specialized expertise, either to complement existing services or to provide care in resource-limited settings. By expanding access to these services, TUS has the potential to improve time to diagnosis, reduce costs for both patients and the health care system, and decrease patient travel time.1,12-14

How Is TUS Delivered?

TUS involves either real-time (synchronous) or asynchronous (“store and forward”) video transmission.5,15

Real-time “supervised” transmission: The ultrasound exam occurs with real-time supervision by an imaging expert, often a radiologist or sonographer. The imaging expert is located in a remote location and provides guidance to an onsite ultrasound operator. In some cases, the imaging expert will remotely perform the exam using robotic ultrasound technology with the assistance of an in-person assistant to help position the equipment. Real-time TUS is often used in emergency settings, where valuable contextual information is needed to aid interpretation and the operator may have limited ultrasound experience.2,16

Asynchronous transmission: The ultrasound images are captured locally, stored, and sent to the remote expert later for review and interpretation. Using this method, individuals with limited or no imaging experience (e.g., medical students, nonimaging health care professionals) can be trained to obtain images of the body using basic scanning protocols, which are sent to the expert without degradation in image quality.2,5,15,17

Purpose of This Review

With rapid advances in diagnostic imaging technology, various TUS systems exist, such as robotic-assisted ultrasound, portable pocket-sized hand-held ultrasound scanners (i.e., point-of-care ultrasound), and AI-integrated solutions.2,14,18,19 TUS systems support decision-making across a wide range of clinical settings, and examinations can be conducted at point-of-care, in emergency or community settings, or in dedicated imaging facilities.

Real-time TUS, which allows the remote expert to be virtually present during the ultrasound scan, has gained greater use with the changing health care landscape, access to new technologies, and its utility for mentoring and training. More recently, the unprecedented demand on the health care system during the COVID-19 pandemic led to the rapid development and use of innovative tools to provide urgently needed ultrasound services in a minimal-contact setting for screening and diagnosing symptoms.35

Real-time TUS can be used by a variety of health care professionals with minimal to no ultrasound training when guided by an imaging professional. However, as the use of real-time TUS continues to expand to different clinical areas, the clinical effectiveness of real-time TUS compared with traditional in-person ultrasound remains uncertain.7,8

The current report aims to provide a summary of the clinical effectiveness of real-time TUS (i.e., synchronous remotely supervised ultrasound) compared with ultrasound delivered using the traditional in-person model. This report also aims to summarize the relevant recommendations from evidence-based guidelines relating to TUS.

Research Questions

  1. What is the comparative effectiveness of real-time TUS (remotely supervised ultrasound) compared with the traditional service model of ultrasound with an in-person imaging specialist insofar as patient care quality, service quality, and access to care are concerned?

  2. What are the evidence-based guidelines regarding the use of TUS in clinical practice?

  3. What are some reported perceived strengths and challenges associated with the use of TUS in clinical practice?

Methods

Literature Search Methods

An information specialist conducted a literature search on key resources including MEDLINE, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), the Cochrane Database of Systematic Reviews, the International HTA Database, the websites of Canadian and major international health technology agencies, as well as a focused internet search. The search approach was customized to retrieve a limited set of results, balancing comprehensiveness with relevancy. The search strategy comprised both controlled vocabulary, such as the National Library of Medicine’s MeSH (Medical Subject Headings), and keywords. Search concepts were developed based on the elements of the research questions and selection criteria. The main search concepts were telemedicine or remote supervision and ultrasound. The search was completed on August 27, 2024, and was limited to English-language documents published since January 1, 2019.

Selection Criteria

One reviewer screened citations and selected studies. In the first level of screening, the titles and abstracts were reviewed, and potentially relevant articles were retrieved and assessed for inclusion. The final selection of full-text articles was based on the inclusion criteria presented in Table 1. Articles published before 2019 were excluded due to the rapid timelines for this report and focus on current literature.

Table 1: Selection Criteria

Criteria

Description

Population

Patients seeking ultrasound exams, of any age

Intervention

Real-time TUS (remotely supervised ultrasound)

Comparator

Traditional service model (standard ultrasound delivered in-person by an imaging specialist)

Outcomes

Q1: Clinical effectiveness (e.g., patient care quality, service quality, access to care)

Q2: Recommendations related to the appropriate use of TUS in clinical practice

Q3: Strengths and challenges associated with the use of TUS in clinical practice

Study designs

Health technology assessments, systematic reviews, randomized controlled trials, nonrandomized studies with a control group, evidence-based guidelines

Exclusion criteria

  • Interventions: Asynchronous TUS or any intervention without real-time expert supervision, guidance, or feedback

  • Comparators: Standard in-person ultrasound delivered by a nonspecialist (e.g., student, nonclinician, patient)

  • Articles published before 2019

  • Simulation setting

  • Duplicate publications

  • Case reports

TUS = teleultrasound.

Critical Appraisal of Individual Studies

The included publications were critically appraised by 1 reviewer using the following tools as a guide: The Downs and Black checklist20 for primary studies, the A Measurement Tool to Assess Systematic Review 2 (AMSTAR 2)21 for systematic reviews (SRs), and the Appraisal of Guidelines for Research and Evaluation (AGREE) II instrument22 for guidelines. The strengths and limitations of each included publication were described narratively.

Summary of Evidence

Quantity of Research Available

A total of 555 citations from the literature search were identified. Following screening of titles and abstracts, 453 citations were excluded and 102 potentially relevant reports from the electronic search were retrieved for full-text review. Fifty-two potentially relevant publications from the grey literature search were also retrieved. Of these potentially relevant articles, 143 were excluded for various reasons. Overall, 11 publications met the inclusion criteria. These comprised 6 prospective nonrandomized studies, 1 nonrandomized controlled trial, 1 randomized noninferiority trial, and 3 SRs. Appendix 1, Figure 3 presents the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)23 flow chart of the study selection.

Additional references of potential interest are provided in Appendix 5.

Study Characteristics

  • Eight primary studies and 3 SRs were included in this report, totalling 1,591 participants across 7 countries who underwent TUS or traditional in-person ultrasound.

  • No relevant evidence-based guidelines for TUS were identified.

Detailed characteristics of the 11 included studies are presented in Table 4 and Table 5 in Appendix 2.

Study Design

Primary Studies and Systematic Reviews

Evidence-Based Guidelines

No relevant evidence-based guidelines were identified for TUS.

Country of Origin

The included primary studies were conducted by authors in China, France, Poland, and the US.24-31 The SRs9,32,33 were conducted by authors in Brazil and the US, and the 4 studies included in the SRs originated from France, Norway, and 2 from Korea.

Patient Population

A summary of the patient population and clinical setting are provided in Table 4 (primary studies) and Table 5 (SRs).

Interventions and Comparators

The intervention used in all studies included in this report was real-time TUS delivered through various methods:

In all cases, the comparator was the use of conventional in-person ultrasound delivered by a trained imaging professional.

A summary of the intervention, comparator, and operator characteristics are provided in Table 4 (primary studies) and Table 5 (SRs).

Outcomes

The relevant outcomes reported by the included studies are summarized in Table 2.

Table 2: Outcomes Reported by the Included Studies

Type of outcome

Description

Procedural effectiveness outcomes

Care and service quality outcomes

  • Patient satisfaction:23,24,26,28-30

    • comfortability

    • fear

    • acceptance of TUS and telecommunications

    • exam duration

  • Clinician satisfaction:24,26,29,30

    • comfortability

    • exam satisfaction

    • exam duration

    • technical performance and telecommunications

  • Accessibility24,26,28-30,32

TUS = teleultrasound.

Summary of Findings

  • Real-time TUS was comparable to conventional in-person ultrasound in relation to exam image quality and diagnostic consistency for various types of exams, as determined by expert review. However, real-time TUS exams took significantly longer to complete in most studies, averaging 6 minutes longer.

  • Patients expressed a high level of satisfaction with real-time TUS regarding comfortability, telecommunication quality, exam duration, and accessibility for various types of exams. However, in some studies where robotic-assisted TUS systems were used, up 10% of patients reported feeling discomfort, pain, or fear, although no serious adverse events were reported.

  • Clinicians and operators expressed a high level of satisfaction with real-time TUS in terms of the quality of exam images, telecommunication quality, and scan duration. However, some clinicians and operators reported that they experienced physical discomfort with using the system and technical difficulties for a subset of exams.

  • Three evidence-based guidelines were included in this review to provide clinical guidance on the use of point-of-care ultrasound for central venous catheter insertion in the acute care setting (i.e., emergency department and intensive care unit).

Appendix 3 presents the main study findings by outcome.

Summaries of the outcomes related to procedural effectiveness (i.e., image quality, scan duration, diagnostic consistency) are presented in Figure 1 and Table 6.

Summaries of outcomes related to care and service quality (i.e., safety and complications, patient satisfaction, clinician satisfaction, accessibility) are presented in Figure 2 and Table 7.

Real-Time TUS in Clinical Practice: Procedural Effectiveness

Figure 1: Summary of Findings Related to Procedural Effectiveness

Visual summary of the findings related to procedural effectiveness outcomes for each reviewed study. Findings were categorized into 4 groups: TUS and conventional ultrasound groups are equivalent, TUS is inferior to conventional ultrasound, variable finings, and not applicable. The outcomes include image quality, scan duration, and diagnostic consistency.

NA = not applicable; TUS = teleultrasound.

Notes: The coloured circles and symbols represent the findings from studies that compared procedure-related outcomes between real-time TUS and conventional ultrasound groups.

Light blue with equal sign = Real-time TUS and conventional ultrasound findings were equivalent or not significantly different (P ≥ 0.05).

Blue with minus sign = TUS was inferior to conventional ultrasound.

Orange with ± sign = Variable findings were reported for the outcome (equivalence and differences between groups).

Grey with NA = The study did not report on this outcome or no comparisons were made between groups.

Exam Image Quality

Overall, the image quality of the ultrasound exams was not statistically significantly different between TUS and conventional ultrasound groups (Table 6). Seven of the 11 studies reported this outcome:

Scan Duration

Overall, the mean length of time to complete the ultrasound was statistically significantly longer for the TUS group compared with the conventional ultrasound group (Table 6). Five primary studies24,25,27,30,31 reported this outcome:

Diagnostic Consistency

Overall, TUS and the conventional ultrasound groups did not show statistically significant differences in diagnostic consistency (e.g., agreement, correlation), although the results were mixed (Table 6). This outcome was reported by all 11 studies:

Complications and Safety

Findings related to patient-reported complications and safety were mixed across the 6 primary studies that reported this outcome (Table 7). Reported complications included temporary pain and discomfort during the exam.

Real-Time TUS in Clinical Practice: Care and Service Quality

Figure 2: Summary of Findings Related to Care and Service Quality

Visual summary of the findings related to care and service quality outcomes for each reviewed study. Findings were categorized into 4 groups: TUS has a positive outcome, TUS has a negative outcome, variable findings, and not applicable. The outcomes include complications and patient safety, patient satisfaction, clinical satisfaction, and accessibility.

NA = not applicable; TUS = teleultrasound.

Notes: The coloured circles and symbols represent the findings from studies that examined care and service quality–related outcomes for real-time TUS.

Green with plus sign = A positive experience with TUS relating to the outcome of interest was reported.

Blue with minus sign = A negative experience with TUS relating to the outcome of interest was reported.

Orange with ± sign = Variable findings were reported for the outcome of interest.

Grey with NA = The study did not report this outcome.

Patient Satisfaction

Overall, patients indicated a high level of satisfaction with TUS according to several domains captured in self-reported questionnaires, although there were variable findings relating to comfort with TUS (Table 7). Six24,25,27,29-31 of the 11 studies reported this outcome.

Acceptance
Comfort
Fear
Telecommunications
Scan Duration

Clinician Satisfaction

Overall, both teleclinicians (i.e., teleradiologists, telesonographers) and patient site assistants indicated a high level of satisfaction with real-time TUS, although there were variable findings relating to comfort and technical performance (Table 7). Four25,27,30,31 of the 11 studies reported this outcome.

Comfort
Exam Satisfaction
Technical Performance
Telecommunications
Scan Duration

Accessibility

The accessibility of TUS was assessed most frequently by studies that used patient- and clinician-completed questionnaires to examine the following areas: patient willingness to pay for TUS as a service, patient willingness to undergo TUS in the future, and the use of TUS in routine clinical practice (Table 7). Six of the 11 studies reported this outcome:

Advantages and Challenges of Teleultrasonography

Some potential advantages and challenges associated with TUS application in clinical practice, as reported and perceived by various authors that reviewed the current literature are summarized in Table 3.12,14,34

Table 3: Potential Strengths and Challenges Associated With Teleultrasonography

Potential strengths

          Potential challenges

Health care system and clinical practice

  • Reduced health care system spending because of lower costs of dedicated imaging centres

  • Increased diagnostic imaging capacity and variety of exams offered in underserved, rural, or remote regions

  • Increased equitable access to ultrasound services and specialists

  • Enhanced ability to deploy in emergency situations

  • Reduced cost of transporting or temporarily relocating trained clinicians to geographically distant areas

  • Cost savings associated with transporting patients to health facilities that have ultrasound capacity

  • Lower out-of-pocket costs for patients requiring travel for ultrasound exams

  • Flexibility in training and supervision of ultrasound operator

  • Multiple expert opinions are available for consultation and exam review, including for specialty or complex exams

  • With access to experts, TUS may expand the variety of examinations offered to include more complex or specialty scans

  • Quicker time to diagnosis and consultation with patients

  • The acquisition costs (including imaging equipment, video conferencing technology, piloting, and troubleshooting) may be high for individual practitioners or small communities using TUS technology, particularly robotic-assisted TUS

  • Uncertainty around image quality and diagnostic quality compared with conventional ultrasound

  • Regulations for telehealth practice may be underdeveloped in many countries

  • No standardized regulatory guidelines regarding patient care responsibilities (e.g., obtaining consent, patient preparation, examination, safety) and professional liability

  • Special considerations may be required for transmission and progression of personal data across jurisdictions

  • Legal regulations may restrict sharing of patient data and images between medical professionals and facilities across jurisdictions

  • Lack of standardized training and technical protocols, guidelines, and regulations as relates to TUS operation and patient engagement and communication

  • Complex ultrasound examinations may not be possible without technological advancements and/or the use of AI assistance

Technical implementation

  • Internet bandwidth requirements are low for satisfactory image quality

  • International standard quality assessment tools exist to grade images

  • Hand-held portable devices can be used both standalone (without requiring additional hardware) or compatible with Android and iOS devices

  • Mobile applications may be more user-friendly than traditional ultrasound software (relevant for point-of-care or patient end use)

  • Certain devices allow immediate sharing and storing of images to a cloud system

  • Internet network connectivity is a requirement for both real-time and asynchronous TUS

  • Software requires regular updates and compatibility is not guaranteed

  • Subscription and storage fees may increase costs

  • Devices that require USB power may experience significant battery drain

  • Hand-held portable devices may have limited diagnostic functionality to be used as a standalone imaging tool, depending on the scope of the requested exam or protocol

  • Android/iOS based hand-held ultrasound devices require sophisticated mobile devices for application compatibility

  • The screen size is smaller for TUS devices that connect to mobile devices or tablets

  • Smaller devices may be susceptible to loss or theft

TUS = teleultrasound.

Summary of Critical Appraisal

Appendix 4 provides details regarding the strengths and limitations of the included primary studies24-31 (Table 8) and SRs9,32,33 (Table 9).

Primary Studies

The included studies were explicit in terms of reporting the methodological characteristics required for critical appraisal but had several limitations related to the external and internal validity that may reduce the certainty and generalizability of the findings.

For reporting, the authors of all included studies24-31 clearly described the objective of the study, the main outcomes to be measured, the intervention of interest, and the main findings. Most authors reported on the characteristics of the participants,24,26,27,29-31 and the randomized controlled trial compared group differences (i.e., potential confounders) in demographics of the randomized participants. Of the 8 studies, 7 reported adverse events of the intervention and 6 reported patient-related experiences.24,25,27,29-31 The actual P values for the main outcomes were reported in all studies. All the predefined outcomes were relevant and valid and adequately reported.

For external validity, the studies were conducted in both inpatient and outpatient hospital or clinic settings (i.e., hospital, disability care centre, mobile car) located in urban and rural or remote areas, representing high ecological validity. However, TUS can require technological (e.g., 5G internet connectivity, robotic system) and human-related resources that may not be widely accessible and, therefore, not representative of the imaging mode received by most patients in rural or remote settings. Furthermore, the patients included in the studies may not be representative of the entire population from which they were selected, which may limit the generalizability of findings to different settings or patient groups outside the study settings; 7 of the 8 primary studies24-28,30,31 recruited patients from a single centre, and half of the studies24-26,28 had small sample sizes of less than 50 patients.

For internal validity related to bias, there were potential risks of selection, performance, and detection biases because 7 of the 8 studies were not randomized controlled trials by design.24-28,30,31 Four studies reported a lack of operator masking (an unawareness of group assignment).26,28-30 Additionally, 2 studies26,30 that used robotic TUS excluded certain exams due to limitations with the robotic arm, which may have increased the risk of performance and detection bias to favour TUS. Similarly, robotic-assisted TUS was limited to scanning specific organs due to limitations of the robotic probe, which may have resulted in selection and performance bias.24-27,30,31 However, statistical tests were used appropriately, and the main outcome measures were valid and reliable.

For internal validity related to confounding, there were some differences between groups in recruitment strategies and in the experience of operators who performed the procedures. The work experience and clinical expertise of the various teleclinicians and TUS operators differed across the studies, and often the exact level of experience was not reported.24-31 It is possible that lower-skilled teleclinicians and operators could negatively impact procedure-related outcomes. Similarly, each study used a different protocol and length of time to train the teleclinician and operators, particularly with the use of robotic-assisted TUS. Individual differences in learning and mastering the technology may have significantly influenced the interpretation of ultrasound findings.

None of the authors of the included studies identified and adjusted for potential confounding factors in the analyses. None of the authors of the included studies reported whether sample size calculations were performed, leaving it unclear whether any nonsignificant differences in certain outcomes were due to insufficient power in the studies. Similarly, clinical and patient satisfaction assessments were collected only for patients who underwent real-time TUS.25,27,30,31 Satisfaction with service and care quality was not assessed in the conventional ultrasound group; therefore, no direct or statistical comparisons could be made for these outcomes.

Systematic Reviews

Overall, the 3 SRs met a limited number of the AMSTAR 2 criteria, indicating low to moderate quality of the evidence.

The authors of all 3 SRs9,32,33 included components of the PICO (population, intervention, comparison, outcome) process that were clearly defined in research questions and inclusion criteria. The reviews were comprehensive in their search strategies, clearly defined their inclusion criteria and objectives, and included a variety of study designs. The literature search strategy was comprehensive and clearly described in all SRs and it used multiple combinations of keywords, enhancing the reproducibility of the reviews. The authors of 1 SR9 searched the reference lists of the included studies for additional potentially relevant studies. All review authors disclosed the funding sources and potential conflicts of interest but did not report the funding sources or conflicts of interest for the included studies.

One of the 3 SRs33 reported that study selection was performed in duplicate, and it is unclear if data extraction and quality assessment were also conducted in duplicate for any of the SRs. The SRs did not include a list of excluded studies or reasons for study exclusion.

The review authors of all 3 SRs narratively summarized the findings from the included studies, with limited numerical results, thereby reducing the clarity of findings. Alhussein et al. (2024)32 noted that a meta-analysis was not conducted due to the heterogeneity of included study designs. None of the SRs included an assessment of methodological quality or heterogeneity among the included studies.

Limitations

This report is limited by the quantity and quality of research identified that met our inclusion criteria. First, the primary studies and SRs identified are at risk of bias due to several important limitations outlined in the Summary of Critical Appraisal section. Only 4 of the 32 studies in the included SRs were relevant to this report, and all showed low to moderate quality of evidence. Additionally, no evidence-based guidelines concerning the use of TUS in clinical practice were identified.

Second, the literature search was limited to English-language articles and articles published within the past 5 years. Therefore, the strength of the conclusions in this report may be limited by the exclusion of relevant articles published before 2019.

Third, this report was limited by clinical scope, which focused on real-time TUS. Although real-time and asynchronous (“store and forward”) methods of TUS are both widely used, this report did not examine the use of asynchronous TUS and its effectiveness compared with in-person ultrasound.

Finally, 6 of the 8 primary studies examined robotic-assisted real-time TUS, which may limit the generalizability of findings to other types of TUS systems. However, this report includes studies published through the height of the COVID-19 pandemic when remote robotic-assisted TUS systems were proposed for screening or diagnosing COVID-19 symptoms.25 The unprecedented demand on the health care system during that time led to the rapid development and clinical expansion of innovative tools to provide urgently needed ultrasound services in a minimal-contact setting.35 Therefore, it is possible that the high representation of robotic-assisted TUS systems in this report is reflective of the changing landscape of real-time TUS.

Conclusions and Implications for Decision- or Policy-Making

We reviewed the clinical evidence from 8 primary studies (6 prospective nonrandomized controlled trials;1 randomized noninferiority trial; 1 prospective, parallel, controlled nonrandomized trial) and 3 SRs, all comparing real-time TUS systems (i.e., robotic-assisted, pocket hand-held ECG, general) with conventional in-person ultrasound. The role of ultrasound imaging specialists and the scope of practice varies globally, and this review included various imaging professionals (i.e., sonographer, sonologist, radiologist, specialist physician) that reflect the practices relevant to each study’s setting.

The 8 primary studies identified in this report showed high-quality evidence, although most were limited by a single-centre nonrandomized controlled study design and small sample size. The 3 SRs met a limited number of the AMSTAR 2 criteria, showing low to moderate methodological rigour.

Overall, real-time TUS was found to be comparable to conventional in-person ultrasound with regards to diagnostic consistency and exam image quality, and it was well tolerated and accepted by patients and clinicians. However, real-time TUS took, on average, more than 25% (or 6 minutes) longer to complete than in-person ultrasound. For some studies that used robotic-assisted TUS, temporary safety-related complications or discomfort was reported by up to 10% of patients, and technical difficulties occurred in up to 20% of exams. Notably, the included studies performed a wide range of exam types (i.e., abdominal, thyroid, obstetrics, renal, cardiac, pulmonary, and breast exams) and included both comprehensive and point-of-care exams, highlighting the growing role and expanding application of TUS in clinical practice.

To date, most studies report outcomes relating to the technical feasibility and image interpretation of real-time TUS. When there is acceptable variability in population and intervention characteristics, conducting a systematic review with network meta-analysis, when appropriate, may be helpful to understand the relevant differences between real-time TUS and conventional in-person ultrasound.

Considering the current limitations of the body of evidence, future well-controlled larger studies are needed to evaluate care quality beyond feasibility and safety of TUS. This includes examining patient perspectives relating to accessibility (equitable access to services, financial burden) and personal preference and expectations. This may include designing studies that incorporate surveys into both study arms or into the preintervention and postintervention design. Studies that examine the real-world community and health system impact of real-time TUS are also needed to determine the benefit of TUS for increasing access to services and providing timely and accurate diagnoses, particularly in resource-limited settings.

As many real-time TUS devices are more portable and reportedly less expensive and easier to use than traditional ultrasound, they are increasingly available globally. Real-time TUS has been shown to be an effective, accessible, and safe method of imaging patients, which may lead to improved patient outcomes. Other studies have found that TUS is associated with reduced wait times, patient care load, and system-level costs, as well as improved treatment planning and intervention.1,12-14 Studies that evaluate current clinical unmet needs and training programs with well-defined procedural competencies are needed.1,12 Finally, regulations supporting the adoption of real-time TUS in clinical practice and development of data-sharing agreements across different legislative spaces are also needed.12,36

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25.Delestrain C, Jung C, Malterre A, et al. Comparison of telerobotic and conventional ultrasonography in children: a crossover bicentric pilot study. Transl Pediatr. 2023;12(5):816-826. PubMed

26.Duan S, Liu L, Chen Y, et al. A 5G-powered robot-assisted teleultrasound diagnostic system in an intensive care unit. Crit Care. 2021;25(1):134. PubMed

27.He T, Pu YY, Zhang YQ, et al. 5G-Based Telerobotic Ultrasound System Improves Access to Breast Examination in Rural and Remote Areas: A Prospective and Two-Scenario Study. Diagnostics (Basel). 2023;13(3):18. PubMed

28.Wejner-Mik P, Teneta A, Jankowski M, et al. Feasibility and clinical utility of real-time tele-echocardiography using personal mobile device-based pocket echocardiograph. Arch Med Sci. 2019;18(4):998-1003. PubMed

29.Whittington JR, Hughes DS, Rabie NZ, et al. Detection of Fetal Anomalies by Remotely Directed and Interpreted Ultrasound (Teleultrasound): A Randomized Noninferiority Trial. Am J Perinatol. 2022;39(2):113-119. PubMed

30.Zhang YQ, Sun LP, He T, et al. A 5G-based telerobotic ultrasound system provides qualified abdominal ultrasound services for patients on a rural island: a prospective and comparative study of 401 patients. Abdom Radiol. 2024;49(3):942-957. PubMed

31.Zhang YQ, Yin HH, He T, Guo LH, Zhao CK, Xu HX. Clinical application of a 5G-based telerobotic ultrasound system for thyroid examination on a rural island: a prospective study. Endocrine. 2022;76(3):620-634. PubMed

32.Alhussein M. Use of Real-Time Remote Tele-mentored Ultrasound Echocardiography for Cardiovascular Disease Diagnosis in Adults: A Systematic Review. Ultrasound Med Biol. 2024;50(6):779-787. PubMed

33.Salerno A, Kuhn D, El Sibai R, Levine AR, McCurdy MT. Real-Time Remote Tele-Mentored Echocardiography: A Systematic Review. Medicina (Kaunas). 2020;56(12):02.

34.Recker F, Höhne E, Damjanovic D, Schäfer VS. Ultrasound in Telemedicine: A Brief Overview. Applied Sciences. 2022;12(3):958.

35.Adams SJ, Burbridge B, Chatterson L, McKinney V, Babyn P, Mendez I. Telerobotic ultrasound to provide obstetrical ultrasound services remotely during the COVID-19 pandemic. J Telemed Telecare. 2022;28(8):568-576. PubMed

36.Villani S, Pana J, Madubuobi H, Browne IL, Kimbrow LA, Reece SCM. Telerobotic Sonography for Remote Diagnostic Imaging. J Ultrasound Med. 2023;42(6):1375-1376. PubMed

Appendix 1: Selection of Included Studies

Figure 3: Selection of Included Studies

A flow chart showing 555 citations were identified of which 453 were excluded. Another 52 were identified through other sources. In total, 143 were excluded and 11 reports were included, including 1 randomized controlled trial, 1 nonrandomized controlled trial, 6 prospective nonrandomized studies, and 3 systematic reviews.

Appendix 2: Characteristics of Included Publications

Please note that this appendix has not been copy-edited.

Table 4: Characteristics of Included Primary Studies

Study citation, country, funding source

Study design, outcomes

Population characteristics

Intervention and comparator(s)

Zhang et al. (2024)30

Country: China

Funding source: Various

Prospective non-RCT design

Type of ultrasound: Robotic

Sample size: 401

Relevant Outcomes:

  • diagnostic consistency

  • image quality

  • safety

  • scan duration

  • patient acceptance

Patients scheduled for an abdominal ultrasound examination.

Mean age, years ± SD: 54.96 ± 15.43 (range: 12 to 88 years)

Sex, %:

  • Female: 54.1

  • Male: 45.9

Intervention: 5G-based telerobotic abdominal ultrasound (MGIUS-R3, MGI Tech Co., Ltd., Shenzhen, China).

Teleultrasound Operator: Onsite assistant who received training session; tele-radiologist guided.

Comparator: Conventional in-person ultrasound with the Wisconic Clover 60.

Conventional ultrasound operator: Onsite radiologist with 5 to 15 years of clinical experience in abdominal ultrasound.

Delestrain et al. (2023)25

Country: France

Funding source: Grant from European Space Agency

Prospective interventional crossover design

Type of ultrasound: Robotic

Sample size: 38

Relevant Outcomes:

  • diagnosis agreement

  • patient satisfaction

  • safety

  • scan duration

Children aged 1 to 10 years in 2 regional hospitals in the pediatric department, requiring lung, abdominal, or cardiac ultrasound

Mean age, years ± SD: 5.7 ± 2.7

Intervention: MELODY telerobotic ultrasound system

Teleultrasound Operator: Pediatric caregivers with specific skills in using the MELODY system with children; expert sonographer guided.

Comparator: Conventional in-person ultrasound with the Mindray TE7 system.

Traditional ultrasound operator: Senior expert sonographers

He et al. (2023)27

Country: China

Funding source: Various

Prospective non-RCT design

Type of ultrasound: Robotic

Scenario A: Teleultrasound exam and conventional exam conducted at a rural hospital

Scenario B: Teleultrasound exam conducted in mobile car setting in remote setting.

Sample size: 83 (Scenario 1: 63; Scenario 2: 20)

Relevant Outcomes:

  • diagnostic agreement

  • image quality

  • safety

  • scan duration

Patients referred for breast examinations.

Mean age, years ± SD:

  • Scenario 1: 53.5 ± 13

  • Scenario 2: 41.8 ± 8.7

Sex, %:

  • Scenario 1:

    • Female: 96.8

    • Male: 3.2

  • Scenario 2:

    • Female: 100

    • Male: 0

Intervention: 5G based telerobotic ultrasound- MGIUS-R3; MGI Tech Co., Ltd., Shenzhen, China

Teleultrasound Operator: Onsite assistant- hospital auxiliary personnel with 1 year experience; expert sonographer guided.

Comparator: Conventional in-person ultrasound onsite sonologist with 15 years of experience.

Traditional ultrasound operator: Sonologist with 15 years of experience.

Chai et al. (2022)24

Country: UK

Funding source: Zhejiang Medicine Scientific

and Technology Project

Prospective non-RCT

Type of ultrasound: Robotic

Sample size: 49

Relevant Outcomes:

  • diagnosis agreement

  • image quality

  • scan duration

  • safety (complications: pain, skin lesions, swelling, bleeding, crush injuries)

Adult patients located at a remote long-term care centre requiring abdominal ultrasound.

Mean age, years (range): 61 (19 to 91)

Sex, %:

  • Female: 0

  • Male: 100

Intervention: 5G-base robot-assisted remote ultrasound

Teleultrasound Operator: Sonographers with 5-year experience

Comparator: Conventional bedside ultrasound

Traditional ultrasound operator: Sonographers with 5 years of experience

Zhang et al. (2022)31

Country: China

Funding source: Various

Prospective, parallel, and controlled study non-RCT design

Type of ultrasound: Robotic

Sample size: 139

Relevant Outcomes:

  • diagnostic consistency

  • image quality

  • patient acceptance

  • safety

  • scan duration

Patients undergoing thyroid ultrasound.

Mean age, years ± SD: 58.6 ± 12.7

Sex, %:

  • Female: 76.3

  • Male: 23.7

Intervention: 5G-based telerobotic ultrasound (MGIUS-R3, MGI Tech Co., Ltd., Shenzhen, China)

Teleultrasound Operator: Onsite assistant who received systematic training session; expert sonographer guided.

Comparator: Conventional ultrasound examination with the Wisonic Clover 60 system.

Traditional ultrasound operator: Doctor with 15 years of clinical experience in thyroid ultrasound

Whittington et al. (2022)29

Country: US

Funding source: Centers for Disease Control and Prevention National Center on Birth Defects and Developmental Disabilities

Randomized noninferiority study design

Type of ultrasound: General

Sample size: 585

Relevant Outcomes:

  • patient satisfaction

  • sensitivity

Women referred to a maternal-fetal medicine clinic to assess fetal abnormalities.

Mean age, years ± SD:

  • Intervention: 30.4 ± 6.7

  • Comparator: 29.5 ± 6.6

Race, %:

  • Intervention:

    • Black: 24.2

    • White: 70.1

    • Other: 5.8

  • Control group:

    • Black: 22.7

    • White: 69.1

    • Other: 8.3

No significant differences in demographics between groups.

Intervention: Teleultrasound and telemedicine counselling; remotely directed and interpreted ultrasound (n = 294)

Teleultrasound Operator: Registered diagnostic medical sonographers.

Comparator: Conventional in-person ultrasound and counselling (n = 291)

Traditional ultrasound operator: Registered diagnostic medical sonographers.

Duan et al. (2021)26

Country: China

Funding source: Medical Research Council

Prospective non RCT

Type of ultrasound: Robotic

Sample size: 32

Relevant Outcomes:

  • diagnosis agreement

  • image quality

  • scan duration

  • safety

Patients in the intensive care unit with stable conditions requiring ultrasound to assess for pleural and abdominal effusion.

Mean age, years (range): 61 ± 20 (13 to 94)

  • Sex, %:

    • Female: 37.5

    • Male: 62.5

Intervention: 5G powered robot-assisted teleultrasound (MGIUS-R3)

Teleultrasound operator: Ultrasound physician

Comparator: conventional in-person ultrasound

Teleultrasound operator: Ultrasound physician

Wejner-Mik et al. (2019)28

Country: UK

Funding source: Medical Research Council

Prospective non RCT

Type of ultrasound: Pocket-sized hand-held ECG

Sample size: 30

Relevant Outcomes:

  • diagnosis agreement

  • diagnostic correlation

  • image quality

Patients admitted to various hospital departments (i.e., infectious diseases, internal medicine, and cardiology) for TTE.

Mean age, years (range): 54 ± 14 (24 to 74)

Sex, %:

  • Female: 40

  • Male: 60

BMI, kg/m2: 27 ± 6

Intervention: Inexperienced operator performed focused TTE using Lumify with real-time collaboration with an experienced cardiologist

Teleultrasound operator: Either a nurse or 2 students trained in using the device

Comparator: Conventional bedside TTE

Traditional ultrasound operator: Experienced cardiologist

BMI = body mass index; ICU = intensive care unit; RCT = randomized controlled trial; RTMUS = real-time telementored echocardiography; SD = standard deviation; SR = systematic review; TTE = transthoracic echocardiographic examination.

Table 5: Characteristics of Included Systematic Reviews

Study citation, country, funding source

Study design,

outcomes

Population characteristics

Intervention and comparator(s)

Included studies

Systematic reviews

Alhussein et al. (2024)32

Country: US

Funding source: None

SR of various study designs (i.e., feasibility, evaluation, pilot, experimental)

Type of ultrasound: RTMUS

Sample size: 30 (from relevant study included)

Relevant Outcomes:

  • diagnosis accuracy

  • image quality

Use of RTMUS in adult population.

Intervention: Various RTMUS modalities

Comparator: Various

1 of 9 studies relevant to present report.

Arbille et al. (2014)

Intervention: Robotic ultrasound

Teleultrasound Operator: Nonsonographer operator; sonographer guided

Comparator: Conventional TTE.

Traditional ultrasound operator: Sonographer

Duarte et al. (2021)9

Country: Brazil

Funding source: None

SR of various study designs (e.g., prospective, RCT, cohort, cross-sectional)

Type of ultrasound: Various but all requiring synchronous transmission and real-time oversight.

Sample size: 115 (from relevant study included)

Relevant Outcomes: Diagnostic confidence

Use of teleultrasound in various settings with experience ultrasound physician as distant mentor.

Intervention: Various teleultrasound methods

Comparator: Various

1 of 10 studies relevant to present report.

Kim et al. (2015)

Population: Pediatric cases with suspected acute appendicitis in the emergency department

Intervention: Telementored real-time ultrasound with a resident and expert sonographer

Teleultrasound operator: Emergency medicine residents; sonographer guided

Comparator: Expert-performed conventional ultrasound.

Traditional ultrasound operator: Expert

Salerno et al. (2020)33

Country: US

Funding source: None

SR of various study designs (e.g., prospective, RCT, cohort, cross-sectional)

Type of ultrasound: Various but all requiring synchronous transmission and real-time oversight.

Sample size: 98 (from relevant study included)

Relevant Outcomes: Diagnostic confidence

Use of RTMUS in various settings in adults

Intervention: Various teleultrasound methods

Comparator: Various

2 of 15 studies relevant to present report.

#1.# Afset et al. (1996)

Country: Norway

Population: Patients with known or suspected heart disease (n = 38)

Intervention: Learner's measurement with real-time remote telementored echocardiography

Teleultrasound Operator: learner (inexperienced doctor); sonographer guided

Comparator: Expert-performed conventional ultrasound.

Traditional ultrasound operator: expert sonographer

#2.# Kim et al. (2017)

Population: Patients presenting to the ICU and requiring an ECG exam (n = 60).

Intervention: Novice sonographer performing ECG with a remote offsite expert.

Teleultrasound operator: Novice sonographer; sonographer guided

Comparator: Expert-performed conventional ultrasound.

Traditional ultrasound operator: onsite cardiologist

RTMUS = real-time telementored echocardiography; SR = systematic review; TTE = transthoracic echocardiographic examination.

Appendix 3: Main Study Findings

Table 6: Summary of Findings — Procedural Effectiveness–Related Outcomes

Citation study

Primary study

Image quality, score

Mean scan duration, minutes

Diagnostic consistency

TUS

Conventional ultrasound

TUS

Conventional ultrasound

Primary studies

Zhang et al. (2024)30

4.54 ± 0.63

Each scanned organ was visible in 97.9% of the ultrasound exams using TUS.

4.57 ± 0.61

P = 0.112

Image quality scores were similar between groups.a

12.54 ± 3.20b

(range 6 to 25)

7.23 ± 2.10 (range 5 to 16)

P = 0.001

TUS took significantly longer than conventional ultrasound.b

  • Good consistency in the diagnosis of 29 types of disease between the 2 methods: κ = 0.773 to 1.000

  • General consistency was achieved in diagnosing renal masses and bladder calculi: κ = 0.664 and 0.661

  • No significant group differences in measurements for the aorta, portal vein, gallbladder, kidney (longitudinal diameter), prostate, and uterus.

  • Small but statistically significant differences were found in the transverse diameters of the kidney (P < 0.05).

Delestrain et al. (2023)25

18.9 ± 3.6

23.1 ± 10.5

P = 0.011

Image quality score was significantly higher for the conventional ultrasound group.c

26 ± 12.5 (range 18 to 30)

13.9 ± 11.2
(range 9 to 15)

P < 0.0001

TUS took significantly longer than conventional ultrasound.

  • Substantial agreement between the telerobotic and conventional ultrasound (κ = 0.74, 95% CI, 0.53 to 0.94; P < 0.005).

  • Abdominal organs and abnormalities were similarly visualized except for the spleen (95%) and pancreas (79%).

  • Visualization and total lung score were similar between telerobotic and conventional ultrasound.d

  • Cardiac reliable diagnoses with both and nonsignificant differences in measurements were identified.

  • TUS was able to detect 2 anatomic features, atrial septal defect and patent foramen oval, while the conventional ultrasound did not.

He et al. (2023)27

4.86

4.90

P = 0.159

Image quality did not differ significantly between groups.e

10.3 +/− 3.3

(range 5 to 22)

7.6 +/− 3.0

(range 4 to 16)

P = 0.017

TUS took significantly longer than conventional ultrasound.

  • 32 of the 34 breast nodules identified using TUS were consistent with those detected using conventional ultrasound (n = 35).

  • No significant differences between the TUS and conventional ultrasound examinations in the transverse and anteroposterior diameter measurements of the same breast nodules and axillary lymph nodes

  • Good interobserver agreement between groups for features of the same breast nodules for shape, orientation, margin, echo pattern, posterior features, calcifications, and Bi-RADSf category: ICC = 0.893, 0.795, 0.874, 1.000, 0.963, 0.882, and 0.984, respectively)

Chai et al. (2022)24

4.7g

(IQR 4.5 to 5.0)

68.7% images were scored 5/5

5g
(IQR 4.7 to 5.0)

P = 0.176

73.1% of images were scored 5/5

Image quality did not differ significantly between groups.a

12.2 ± 4.5 (range: 5 to 26)

7.5 ± 1.8

(range: 5 to 13)

P < 0.001

TUS took significantly longer than conventional ultrasound.

  • Overall diagnosis results similar with no significant differences between ultrasound methods (McNemar value = 0.727, kappa value = 0.601 P < 0.001)

  • 62 and 64 lesions out of 67 lesions were detected by TUS and conventional ultrasound, respectively.

Zhang et al. (2022)31

4.63 ± 0.60

69.8% images were scored 5/5

4.65 ± 0.61

P = 0.102

Image quality did not differ significantly between groups.h

5.57 ± 2.20

(range 2 to 13)

5.23 ± 2.1

(range 2 to 15)

P = 0.164

No significant difference in scan duration between groups.

  • Diameter measurement of the thyroid, cervical lymph nodes, and thyroid nodules were not significantly different between methods (P > 0.05)

  • 124 and 127 thyroid nodules were detected by TUS and conventional ultrasound, respectively; 122 were the same nodules.

  • Good agreement achieved in the ultrasound features (component, echogenicity, shape, and calcification) and ACR TI-RADS category of the same thyroid nodules between groups (ICC = 0.788 to 0.863).

Whittington et al. (2022)29

  • TUS is not inferior to conventional ultrasound for the detection of fetal anomalies:

    • TUS: Sensitivity = 85% (63.1% to 93.9% CI)

    • Conventional ultrasound: Sensitivity = 82.14% (63.1% to 93.9% CI)

  • Specificity, NPV, PPV, and accuracy were than 94% for both groups.

  • Near perfect agreement with reference standard for anomaly detection:

    • TUS: ki = 0.89; Conventional ultrasound: k = 0.87.

Duan et al. (2021)26

4.73a

(Expert 1: 4.75 Expert 2: 4.71)

70% images were scored 5/5

NR

17 +/− 7b

(range 9 to 37)

NR

  • The overall diagnosis results were basically the same, and there was no significant difference in the level of diagnosis (McNemar value near 1, kj = 0.711, P < 0.001)

  • No significant difference in the diagnosis of 14 disease types and the level of consistency was high (k = 1)

  • 5 cases of inconsistent diagnoses between the 2 groups:

    • 3 cases where a positive diagnosis was missed by the TUS group

    • 2 cases where a positive diagnosis was missed by the conventional ultrasound group.

Wejner-Mik et al. (2019)28

Acceptable image quality sufficient for diagnostic use was obtained in over 70% of patients for all the basic views and showed good correlation with conventional ultrasound.k

12 ± 4

  • fTTE (TUS) was feasible in all patients:

  • The dimensions of left ventricle left atrium, and the aorta obtained during fTTE showed good correlation with TTE (conventional ultrasound): r = 0.89, r = 0.82, r = 0.92 respectively (P < 0.0001).

  • Very good agreement between groups on morphological and functional valvular abnormalities (k = 0.648 to 0.823).

  • The correlation for TAPSEl measurements was less pronounced (r = 0.52; P = 0.0037).

Systematic reviews

Alhussein et al. (2024)32

Arbeille et al. (2014)

Quality of cardiac views was lower than that of the reference

  • TUS generated similar measurements to the conventional ultrasound group in 93% to 100% of cases without significant differences (P > 0.05).

  • TUS detected 86% of the valve leaks or aortic stenoses

  • TUS provided reliable and acceptable measurements in 86% and 93% of cases respectively, with no false-positive diagnoses.

Duarte et al. (2021)9

Kim et al. (2015)

  • Diagnostic values were similar between TUS and conventional ultrasound groups:

    • TUS: sensitivity: 1.000, specificity: 0.975, PPV: 0.947, NPV: 1.000

    • Conventional ultrasound: sensitivity: 1.000, specificity: 0.987, PPV: 0.973, NPV: 1.000

Salerno et al. (2020)33

Afset et al. (1996)

  • No difference between TUS and conventional ultrasound of mean M-mode and Doppler variables.

Kim et al. (2017)

  • There was excellent agreement between the 2 methods, with a correlation coefficient of 0.94 (P < 0.001)

ACR TI-RADS = American College of Radiology Thyroid Imaging Reporting and Data System; Bi-RADS = Breast Imaging Reporting and Data System, fTTE = focused transthoracic echocardiographic examination; NPV = negative predictive value; NR = not reported; PPV = positive predictive value; TAPSE = tricuspid annular plane systolic excursion; TTE = transthoracic echocardiographic examination; TUS = teleultrasonography.

Note: This table has not been copy-edited.

aThe subjective quality scoring method (MOS: Mean Opinion Score) was used to score the quality of the transmitted ultrasound images on the basis of an internationally prescribed 5-level absolute evaluation scale (5 points: No deterioration in the image quality is observed at all, very good; 4 points: a change in image quality can be seen but viewing is unhindered, good; 3 points: it can be clearly seen that the image quality has deteriorated, which hinders viewing slightly, fair; 2 points: viewing is hindered, poor; 1 point: viewing is severely hindered, very poor.

bScan duration included diagnosis consultation time.

cThe image quality was qualitatively scored from 1 (very poor) to 5 (excellent), and a visualization score, expressed as a percentage, was calculated with respect to the reference ECG.

dA total lung ultrasound (LUS) score was calculated: 6 lung regions of interest, delineated by a parasternal line, anterior axillary line, posterior axillary line, and paravertebral line, were examined on each side. All regions were characterized, and a score based on aeration from normal (0 score) to complete loss of lung aeration (3 scores) was calculated. The LUS score was calculated as the sum of the 12 regional scores.

eThe scoring was as follows: 1 point: very poor (image quality is severely impaired); 2 points: poor (image quality is impaired); 3 points: fair (image quality hinders viewing slightly but acceptable for interpretation); 4 points: excellent (minor suggestions for improvement but viewing is unhindered); 5 points: perfect (no suggestion for improvement).

fThe ultrasound characteristics and categories of the breast nodules were assessed based on the BI-RADS of the American College of Radiology.

gMedians were reported for image quality scores.

hThe quality of the ultrasound images was scored using a five-point Likert scale (5 points: perfect, no suggestions for improvement of ultrasound image quality; 4 points: excellent, minor suggestions for improvement of ultrasound image quality; 3 points: fair, ultrasound image quality is acceptable for interpretation; 2 points: poor, ultrasound image quality may affect the interpretation; 1 point: meaningless, ultrasound images were not meaningful or undiagnosable).

iThe levels of agreement (kappa) are characterized by Landis and Koch (1977) as slight agreement (0 to 0.20), fair (0.21 to 0.40), moderate (0.41 to 0.60), substantial (0.61 to 0.80), and almost perfect agreement (0.81 to 1.00).

jKappa ≥ 0.75 indicated there was good consistency between the 2; 0.75 > kappa ≥ 0.4 indicated there was general consistency between the 2; kappa < 0.4 indicated poor consistency.

kQuality (the possibility of interpretation) of acquired images was graded as acceptable or unacceptable.

lRight ventricular function was assessed using TAPSE.

Table 7: Summary of Findings — Care and Service Quality–Related Outcomes

Citation study

Primary study

Complications/safety

Patient satisfaction

Clinician satisfaction

Accessibility

Primary studies

Zhang et al. (2024)30

  • 8.4% of patients reported pain during the examination.

  • Overall, the TUS provided a high level of safety.

  • 90.1% indicated no discomfort with ultrasound robotic arm.

  • 96% of patients were not afraid of the robotic arm.

  • 85.8% of patients were entirely or somewhat satisfied with the duration of TUS.

  • 95.3% of patients accepted the telerobotic ultrasound exam.

  • More than 90% and were satisfied with the remote consultation.

  • Tele-radiologists reported:

  • 83.3% satisfaction with TUS exams.

  • 85.5% satisfaction of the duration.

  • 11.8% of the examinations were difficult.

  • 15.7% of exams were felt to have transmission delays.

  • 90% of patients were willing to pay a certain amount of extra money for TUS by an expert.

  • 88.3% of tele-radiologists accepted TUS as a routine ultrasound tool in clinical practice.

Delestrain et al. (2023)25

  • Two patients experienced pain with the telerobotic exam.

  • No severe adverse events were reported.

  • 95% of parents felt comfortable communicating with the TUS-sonographer remotely.

  • 45% of parent reported their children felt less pressure with the telerobotic system vs the conventional system.

  • Conversely, 16% of parents reported that their children felt more pressure with the tele robotic system vs the conventional system.

  • 92% of parents felt comfortable knowing someone elsewhere was controlling the TUS probe.

  • 98% of TUS-sonographers felt the audio was sufficient to communicate with site assistant.

  • 34% of TUS-sonographers reported the handling of the remote ultrasound probe resulted in more physical strain than conventional ultrasound.

  • 100% of patient site assistants felt comfortable communicating with the remote expert.

  • 16% of patient site assistants felt that holding the robotic system caused significant physical strain.

  • 87% of parents agreed to the use of TUS in the future for their child.

He et al. (2023)27

  • No injuries reported during TUS

  • 91.6% of patients reported no discomfort or uneasiness during TUS.

  • 94% of patients were not afraid of the robotic arm (TUS).

  • 92.7% of patients considered the duration of the TUS exam acceptable.

  • 90.4% of patients indicated acceptance of the TUS system for future exams.

  • Tele-sonologists survey:

  • 97.6% reported no obvious delay during the TUS exam.

  • 81.9% reported no difficulty during the TUS exam.

  • 86.7% were satisfied with the exam duration.

  • Some expressed concern in the scope of scanning of patients with large breasts.

  • 89.2% of patients were willing to pay an extra fee for it in the future

  • 84.3% of tele-sonologists were willing to use the TUS system as a routine exam tool.

Chai et al. (2022)24

  • No patient hurt by robot arm

  • All patients completed the TUS exam.

  • No patient complained of discomfort

Zhang et al. (2022)31

  • 7.2% patients reported neck discomfort or suffocation at the trachea.

  • 92.8% patients felt comfortable during the TUS exam.

  • 85.6% patients accepted the telerobotic ultrasound.

  • 89.2% of patients reported no fear of the robotic arm.

  • 94.3% of patients were completely or somewhat satisfied with the duration of the telerobotic ultrasound exam.

  • 10.8% patients felt nervous when robotic arm was moved around neck.

  • Tele-doctors reported that:

    • 85.6% of exams did not have significant TUS transmission delays.

    • 98.6% of exams were accepted.

    • 90.6% of the telerobotic system exams were performed without difficulty.

    • 9.4% of exams were difficult to perform.

    • 84.9% were satisfied with the duration of the TUS exam.

  • 87.1% of patients were willing to pay an extra fee for the telerobotic ultrasound.

  • 100% of tele-doctors believed that the TUS system could be used as a routine tool.

Whittington et al. (2022)29

  • Patient satisfaction was more than 95% on all measuring relating to remote interpretation following TUS.

  • Patient satisfaction was not significantly associated with age, race, parity, BMI, gestational age, rurality, or referral practice.

Duan et al. (2021)26

  • No reported complications related to the TUS exam.

  • All vital signs of the patients showed no significant changes.

Wejner-Mik et al. (2019)28

Systematic Reviews

Alhussein et al. (2024)32

Arbeille et al. (2014)

Duarte et al. (2021)9

Kim et al. (2015)

Salerno et al. (2020)33

Afset et al. (1996)

Kim et al. (2017)

  • The offsite expert was able to perform the exam remotely via a social network video call by mentoring the onsite novice sonographer.

TUS = teleultrasonography.

Note: This table has not been copy-edited.

Appendix 4: Critical Appraisal of Included Publications

Please note that this appendix has not been copy-edited.

Table 8: Strengths and Limitations of the Included Primary Studies Using the Downs and Black Checklist20

Strengths

Limitations

Zhang et al. (2024)30

  • The objective of the study, study design, the main outcomes to be measured, the characteristics of the participants included in the study, the interventions of interest, and the main findings were clearly described.

  • The training level of the operators and was described.

  • Actual probability values were reported for the main outcomes.

  • Data on patient discomfort was collected for the intervention arm.

  • Safety outcomes including adverse events of the intervention were reported.

  • Statistical tests were used appropriately, and the main outcome measures were accurate and reliable.

  • The study has limited generalizability due to the single-centre design and limited number of patient with a high BMI. The analyses did not adjust for confounding factors.

  • The authors did not report on the use of masking.

  • The study has limited generalizability due to its focus on 5G, which may be limited to regions with access to this technology.

  • Certain exams were not carried out due to limitation with the robotic arm, which may have introduced bias.

  • The study did not report whether sample size was calculated.

  • The study did not report on patient discomfort in the comparator arm.

  • Safety outcomes were not directly measured.

Delestrain et al. (2023)25

  • The objective of the study, study design, the main outcomes to be measured, the interventions of interest, and the main findings were clearly described.

  • The study design included 2 hospitals which increases external validity.

  • The onsite sonographer was masked to the results of the intervention.

  • Actual probability values were reported for the main outcomes.

  • Patient caregivers, clinicians, and site assistants were asked to assess the intervention.

  • Safety outcomes including adverse events of the intervention were reported.

  • Statistical tests were used appropriately, and the main outcome measures were accurate and reliable.

  • Interobserver reproducibility was measured.

  • The study has limited generalizability due the focused age group.

  • The characteristics of the participants included in the study and participant inclusion criteria were not well described.

  • The study did not report whether sample size was calculated.

He et al. (2023)27

  • The objective of the study, study design, the main outcomes to be measured, the characteristics of the participants included in the study, the interventions of interest, and the main findings were clearly described.

  • The intervention arm included 2 different scenarios in, increasing ecological and external validity.

  • The training level of the operators and was described.

  • The operators were masked to each other’s results to minimize bias.

  • Actual probability values were reported for the main outcomes.

  • Patients and clinicians were asked to evaluate the clinical benefit of the intervention.

  • Safety outcomes including adverse events of the intervention were reported.

  • Statistical tests were used appropriately, and the main outcome measures were accurate and reliable.

  • The study has limited generalizability due to the single-centre design and focuses on a single medical specialty. The analyses did not adjust for confounding factors.

  • The study has limited generalizability due to its focus on 5G, which may be limited to regions with access to this technology.

  • One of the intervention scenarios did not compare the intervention to the comparator.

  • The study did not report whether sample size was calculated.

  • Safety outcomes were not directly measured.

Chai et al. (2022)24

  • The objective of the study, study design, the main outcomes to be measured, the characteristics of the participants included in the study, the interventions of interest, and the main findings were clearly described.

  • Actual probability values were reported for the main outcomes.

  • The training level of the operators and was described.

  • Safety outcomes including adverse events of the intervention were reported.

  • Statistical tests were used appropriately, and the main outcome measures were accurate and reliable.

  • The study was conducted in a disability care centre. The patients may not be representative of the entire population from which they were treated.

  • The study has limited generalizability due to its focus on 5G, which may be limited to regions with access to this technology. The analyses did not adjust for confounding factors.

  • The study did not report whether sample size was calculated.

  • The small sample size limits the generalizability of findings.

Zhang et al. (2022)31

  • The objective of the study, study design, the main outcomes to be measured, the characteristics of the participants included in the study, the interventions of interest, and the main findings were clearly described.

  • The experts and onsite doctors were masked to each other’s diagnostic results to minimize bias.

  • A standardized exam protocol was used to minimize bias and confounding.

  • Actual probability values were reported for the main outcomes.

  • Patients and clinicians were asked to evaluate the clinical benefit of the intervention.

  • Statistical tests were used appropriately, and the main outcome measures were accurate and reliable.

  • Interobserver reproducibility was measured.

  • The study was conducted at a hospital located on a remote island. The patients may not be representative of the entire population from which they were treated.

  • The study has limited generalizability due to the single-centre design and focuses on a single medical specialty.

  • The study did not report whether sample size was calculated.

  • Variability in the expert professional experience may introducing confounding.

  • Safety outcomes including adverse events of the intervention were not reported.

Whittington et al. (2022)29

  • The objective of the study, study design, the main outcomes to be measured, the characteristics of the participants included in the study, the interventions of interest, and the main findings were clearly described.

  • Demographic and clinical features of patients were compared.

  • The study included a substantial sample size to power the analysis.

  • Estimates of the random variability in the data was reported using median (IQR) for non-normality distributed data.

  • Actual probability values were reported for the main outcomes.

  • Patient satisfaction was a reported outcome.

  • Statistical tests were used appropriately, and the main outcome measures were accurate and reliable.

  • The study was conducted at a single medical clinic. The patients may not be representative of the entire population from which they were treated.

  • The intervention protocol was not clearly described.

  • The study has limited generalizability due to the single-centre design and focuses on a single medical specialty.

  • The study did not report whether sample size was calculated.

  • The authors did not report on the use of masking.

  • Variability in the expert professional experience may introducing confounding.

  • Safety outcomes including adverse events of the intervention were not reported.

Duan et al. (2021)26

  • The objective of the study, study design, the main outcomes to be measured, the characteristics of the participants included in the study, the interventions of interest, and the main findings were clearly described.

  • Actual probability values were reported for the main outcomes.

  • Safety outcomes including adverse events of the intervention were reported.

  • Statistical tests were used appropriately, and the main outcome measures were accurate and reliable.

  • The study was conducted at a single-centre hospital and recruited patients from the ICU department. The patients may not be representative of the entire population from which they were treated.

  • The study has limited generalizability due to its focus on 5G and highly controlled environment, which may be limited to regions with access to this technology.

  • Certain exams were not carried out due to limitation with the robotic arm, which may have introduced bias.

  • The training level of the operators and was not described.

  • The study did not report whether sample size was calculated.

  • The small sample size limits the generalizability of findings.

Wejner-Mik et al. (2019)28

  • The objective of the study, study design, the main outcomes to be measured, the characteristics of the participants included in the study, the interventions of interest, and the main findings were clearly described.

  • Patient from various departments were included in the study.

  • Actual probability values were reported for the main outcomes.

  • The training level of the operators and was described.

  • Safety outcomes including adverse events of the intervention were reported.

  • Statistical tests were used appropriately, and the main outcome measures were accurate and reliable.

  • The study was conducted in a single-hospital setting.

  • The analyses did not adjust for confounding factors.

  • The study has limited generalizability due to its focus on pocket-sized imaging devices, which may be limited to regions with access to this technology.

  • The study did not report whether sample size was calculated.

  • The small sample size limits the generalizability of findings.

BMI = body mass index; ICU = intensive care unit; IQR = interquartile range.

Table 9: Strengths and Limitations of the Included Systematic Reviews Using AMSTAR 221

Strengths

Limitations

Alhussein et al. (2024)32

  • The research question or objective and inclusion criteria included the components of the PICO table.

  • The literature search strategy was comprehensive and multiple databases were searched.

  • The authors included the list of keywords used for the database search.

  • The review authors declared no conflict of interests.

  • The review authors did not use a tool for assessing the risk of bias in the include studies.

  • The authors did not explain their selection of eligible study designs, although the study type was included in the results.

  • It is unclear if the reviewers performed study selection, extraction, and quality assessment of the included studies in duplicate.

  • The review authors did not provide detailed summary of included study findings.

  • A review of bibliographies from included studies was not conducted.

  • The review authors did not measure the interstudy heterogeneity.

  • The review authors did not include evidence-based guidelines.

  • A list of excluded studies and reason for exclusion were not provided.

  • The review authors did not report the sources of funding for the study or the included studies.

Duarte et al. (2021)9

  • The research question or objective and inclusion criteria included the components of the PICO table.

  • The authors explained their selection of eligible study designs, which included any study design.

  • The literature search strategy was comprehensive and multiple database were searched and reviews of bibliographies of included studies were conducted.

  • The review authors declared that they did not have any competing interests.

  • The review authors declared that they did not receive any funding relevant to the SR.

  • Selection and confound bias due to the inclusion of nonrandomized studies.

  • The authors did not report the patient sample size for included studies.

  • The review authors did not use a tool for assessing the risk of bias in the include studies.

  • The review authors included evidence-based guidelines.

  • The review authors did not discuss the interstudy heterogeneity.

  • It is unclear if the reviewers performed study selection, extraction, and quality assessment of the included studies in duplicate.

  • A list of excluded studies and reason for exclusion were not provided.

  • The review authors did not report the sources of funding for the included studies.

Salerno et al. (2022)33

  • The research question or objective and inclusion criteria included the components of the PICO table.

  • The authors explained their selection of eligible studies and extract and review process.

  • The reviewers performed study selection, extraction, and quality assessment of the included studies in duplicate.

  • The authors included the list of keywords used for the database search.

  • The review authors discussed the interstudy heterogeneity.

  • The review authors declared that they did not have any competing interests.

  • The review authors declared that they did not receive any funding relevant to the SR.

  • The literature search strategy was limited to 2 databases.

  • The authors did not report if a review of the bibliographies of included studies, grey literature, or other manual searches were conducted.

  • The review authors did not use a tool for assessing the risk of bias in the include studies.

  • The review authors included evidence-based guidelines.

  • A list of excluded studies and reason for exclusion were not provided.

  • The review authors did not report the sources of funding for the included studies.

SR = systematic review.

Appendix 5: References of Potential Interest

Please note that this appendix has not been copy-edited.

This is a list of studies from the literature search that were excluded from this report but may be of interest to decision-makers working in the field of TUS.

Primary Articles

Jensen SH, Weile J, Aagaard R, et al. Remote real-time supervision via tele-ultrasound in focused cardiac ultrasound: A single-blinded cluster randomized controlled trial. Acta Anaesthesiol Scand. 2019;63(3):403-409. PubMed

Kaneko T, Kagiyama N, Nakamura Y, et al. Effectiveness of real-time tele-ultrasound for echocardiography in resource-limited medical teams. J Echocardiogr. 2022;20(1):16-23. PubMed

Kory PD, Pellecchia CM, Shiloh AL, Mayo PH, DiBello C, Koenig S. Accuracy of ultrasonography performed by critical care physicians for the diagnosis of DVT. Chest. 2011;139(3):538-542. PubMed

Li XL, Sun YK, Wang Q, et al. Synchronous tele-ultrasonography is helpful for a naive operator to perform high-quality thyroid ultrasound examinations. Ultrasonography. 2022;41(4):650-660. PubMed

Liu L, Duan S, Zhang Y, Wu Y, Zhang L. Initial Experience of the Synchronized, Real-Time, Interactive, Remote Transthoracic Echocardiogram Consultation System in Rural China: Longitudinal Observational Study. JMIR Med Inform. 2019;7(3):e14248. PubMed

Olivieri PP, Verceles AC, Hurley JM, Zubrow MT, Jeudy J, McCurdy MT. A Pilot Study of Ultrasonography-Naive Operators' Ability to Use Tele-Ultrasonography to Assess the Heart and Lung. J Intensive Care Med. 2020;35(7):672-678. PubMed

Siu M, Dan J, Cohen J, et al. Impact of Telemedicine on Extended Focused Assessment With Sonography for Trauma Performance and Workload by Critical Care Transport Personnel. Air Med J. 2023;42(2):105-109. PubMed

Sun YK, Li XL, Wang Q, et al. Improving the quality of breast ultrasound examination performed by inexperienced ultrasound doctors with synchronous tele-ultrasound: a prospective, parallel controlled trial. Ultrasonography. 2022;41(2):307-316. PubMed

Reviews

Adams SJ, Burbridge B, Obaid H, Stoneham G, Babyn P, Mendez I. Telerobotic Sonography for Remote Diagnostic Imaging: Narrative Review of Current Developments and Clinical Applications. J Ultrasound Med. 2021;40(7):1287-1306. PubMed

Salerno A, Tupchong K, Verceles AC, McCurdy MT. Point-of-Care Teleultrasound: A Systematic Review. Telemed J E Health. 2020;26(11):1314-1321. PubMed

Shi R, Rosario J. Paramedic-Performed Prehospital Tele-Ultrasound: A Powerful Technology or an Impractical Endeavor? A Scoping Review. Prehospital Disaster Med. 2023;38(5):645-653. PubMed