There are various potential causes of long wait times for CT and MRI scans, and conducting a situation-specific assessment of available resources and potential cause(s) of wait times may help to identify appropriate strategies for their management.
Identified principles for developing a plan to address wait times include engaging stakeholders, taking a coordinated approach to develop short- and long-term plans, ensuring plans are flexible to account for changes in technologies, and developing a plan for quality monitoring and assessment of specified outcomes.
Identified strategies for reducing wait times for CT and/or MRI scans include increasing capacity, improving efficiencies, reducing low-value scans, improving communication, and adopting new technology.
CT and MRI scans are used for multiple clinical indications (e.g., cardiac, inflammatory, respiratory, and oncology) and play a key role in treating patients.1,2 In Canada, an estimated 5.41 million CT scans and 2.33 million MRI scans are conducted each year.1,2 Concerns have been raised regarding wait times for scans, particularly with anticipated growing demand.1,2
Before the COVID-19 pandemic, patients in Canada waited an average of 50 to 82 days (7.1 to 11.7 weeks) for a CT scan, and up to 89 days (12.7 weeks) for an MRI scan.3 These wait times are longer than the recommended 30 days for semiurgent patients; recommended wait times for urgent and emergent patients are within 7 days and 24 hours, respectively.1,4 Wait times grew due to the pandemic because nonurgent imaging services were postponed. In a poll of 1,049 adults living in Canada that was conducted in early 2022, 53% of respondents stated that wait times for diagnostic imaging had worsened since the pandemic, and 90% supported the federal government making new investments in medical imaging to reduce wait times.3 A survey of medical practitioners reported that, in 2022, patients in Canada could expect to wait a median of 5.4 weeks for a CT scan and 10.6 weeks for an MRI scan, with variation between provinces; some provinces reported a median of 7 to 8 weeks for a CT exam and 12 to 20 weeks for an MRI exam.5 While these estimated wait times are comparable to prepandemic wait times at a national level, they are still longer than recommended. They may also indicate that some provinces are experiencing longer wait times for an MRI exam compared to prepandemic wait times.
In addition to the impact of the COVID-19 pandemic, long wait times can result from a range of causes, including:1,4,6-9
increased demand
staffing issues
lack of equipment or older and less efficient equipment
funding issues (e.g., with a set level of funding, there may be a limited number of exams that can be performed)
performing low-value exams.
Long wait times for a CT or an MRI scan may lead to adverse outcomes for patients. While waiting for a scan, patients may become anxious or their illness may worsen, including becoming more difficult to treat. Thus, enacting strategies intended to reduce wait times may help to improve patient outcomes and reduce the burden on health care systems.
The purpose of this report is to provide a summary of strategies aimed at addressing wait lists for CT and MRI scans.
This report summarizes information from wait list strategies presented in frameworks, action plans, recommendations, and research studies and reviews related to addressing wait times for CT and MRI scans.
A limited literature search was conducted by an information specialist on key resources, including MEDLINE, 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 strategy comprised both controlled vocabulary, such as the National Library of Medicine’s MeSH (Medical Subject Headings), and keywords. The main search concepts were wait lists, diagnostic imaging, CTs, and MRIs. Comments, editorials, and letters were excluded. The search was also limited to English-language documents published between January 1, 2017, and November 9, 2022.
A total of 91 publications were identified and included in this report. Among the Canadian publications, some were from pan-Canadian groups or were relevant to Canada in general3,8,10-18; others were action plans, initiatives, or studies from specific provinces, including British Columbia,19-21 Alberta,6,22 Saskatchewan,23,24 Manitoba,25,26 Ontario,27-38 Quebec,39 Prince Edward Island,16 Newfoundland,40 Nova Scotia,41,42 New Brunswick,43 and Yukon.44 Publications were also identified from Australia,45,46 China,47,48 the European Union,49 France,50,51 India,52 Ireland,53 Israel,54,55 the Netherlands,56 New Zealand,57-60 Norway,61 Saudi Arabia,62 Singapore,63 South Korea,64 Sweden,65 Taiwan,66 the UK,67-81 and the US.82-97
The following section is a high-level summary of some of the commonly reported themes and strategies from the included publications. Additional details regarding the included publications are available in Appendix 1 on frameworks (Table 2), Canadian implementation plans and recommendations (Table 3), international implementation plans and recommendations (Table 4), and strategies to address wait times (Table 5).
There are various potential causes of long wait times, and specific causes may differ between countries, jurisdictions, and facilities. Consequently, it is unlikely that a single solution will apply for every situation.9 A local assessment of health system needs may help guide the choice of strategies used to help reduce wait lists. Some factors to assess may include:14,15,19,22,45,58,68-70,82
current demand (including if there is a backlog) and wait times as well as projected demand
available resources (e.g., equipment, staffing, funding) and their use (e.g., if a scanner is not being used during evenings and/or weekends)
if protocols can be optimized (e.g., workflow, imaging, image processing)
if low-value scans are being ordered (i.e., scans that are not considered best practice).
Some suggested principles when developing a plan to address wait times included:6,10-12,16,26,45,49,54,57,68-70
use a coordinated approach (e.g., provincial, national) to develop short-term and sustainable long-term plans, including assessments of relevant and clearly defined outcomes, which may include
specified performance targets (e.g., number of scans, wait times)
workforce planning (e.g., to achieve desired staffing levels and lower vacancies, particularly in positions that are experiencing shortages and/or high levels of burnout)
how to decide when a new scanner should be purchased and/or when equipment should be replaced (e.g., what factors need to be assessed to determine need, expected required resources)
assign a dedicated task force (e.g., an independent organization with an advisory committee) to oversee the plan
adopt a multidisciplinary approach with stakeholders, including clinicians
ensure initial and sustained investment in the plan
have systems that are flexible and adaptable over time (to account for changes in technology)
consider if strategies require additional supports (e.g., for technological interventions, may need improved internet connectivity, secure data sharing systems; for artificial intelligence [AI] and/or machine learning, may need to develop frameworks to regulate their use).
A variety of strategies were identified that could assist with alleviating wait times for a CT or MRI scan; a summary of some types of strategies and examples is presented in Table 1. Common themes across Canadian and international publications included increasing scan capacity, improving efficiency, reducing low-value scans, improving communication, and implementing new technologies. New technologies, such as AI, may be applied at various stages in the scanning process, including referral, scheduling, scanning, and processing. Strategies related to health human resources were also identified, including developing workforce and training plans (particularly for positions with staff shortages), and assigning dedicated staff to assist with various processes.
Based on the publications identified for this report, most strategies were found in both Canadian and international settings. Strategies that were not found in Canadian publications but were reported in international research studies or recommendation reports included:
outsourcing scans to the private sector
adding a new staff position dedicated to coordinating the workflow (e.g., check protocol, assess patients for allergies or other concerns)
reserving capacity at a hospital’s scanner for emergency scans
procuring dedicated adult and pediatric scanners
reducing use of sedation or anesthesia for pediatric MRI scans
avoiding duplicate exams (e.g., imaging when patient’s health has not changed; it may be appropriate in some cases to extend time intervals between repeat exams).
It should be noted that some of these strategies, although not captured in the literature, are known to be used in Canada.
Table 1: Summary of Strategies to Reduce Wait Times for CT and MRI Scans
Type of strategy | Examples |
---|---|
Increase scan capacity |
|
Process improvements: referral and scheduling |
|
Optimizing time needed for scanning and processing | Various stages in the process can be shortened (without compromising diagnostic yield):
General strategies to improve efficiency may include:
|
Decreasing low-value scans |
|
Improving communication | Improve communications between: |
As long wait times can be caused by a variety of issues, it may be helpful to conduct a situation-specific assessment of potential causes and available resources. This may assist with planning and choosing a strategy that is appropriate and practical for a specific facility or jurisdiction.
General strategies to address wait times for CT and MRI scans identified in this report include increasing capacity (e.g., purchasing new scanners, expanding operating hours, hiring additional staff to develop and support a sustainable workforce), improving efficiencies along the imaging pathway (e.g., standardizing exam referral forms, using a centralized referral pathway, and optimizing imaging protocols), reducing low-value imaging (e.g., using clinical decision support tools and evidence-based recommendations), and implementing new technologies (e.g., electronic order systems, scheduling optimization software, AI or machine learning, teleradiology).
This report is not intended to provide recommendations for or against specific strategies; the effectiveness of a specific strategy may depend on various factors, including a facility’s circumstances and procedures, type of scan (e.g., scheduled versus emergency, different diseases or areas requiring a scan), and availability of resources. It may be helpful to develop a plan that is flexible, allows for modifications, and incorporates regular assessments of performance measures, such as wait times and patient backlog. These assessments may help to determine if the strategies are working as intended and flag them if they are having any unintended negative effects on patient outcomes (e.g., to ensure that shortened protocols are not negatively impacting diagnostic accuracy), so that appropriate changes can be made in a timely manner.
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95.Pang B, Xie X, Ju F, Pipe J. A dynamic sequential decision-making model on MRI real-time scheduling with simulation-based optimization. Health Care Manag Sci. 2022;25(3):426-440. PubMed
96.Gyftopoulos S, Jamin C, Wu TS, et al. The use of an emergency department expeditor to improve emergency department CT workflow: Initial experiences. J Am Coll Radiol. 2019;16(3):327-332. PubMed
97.Small JE, Sullivan-Richard S, Kingsley Rocker LA, Kim JJ, Broder JC. Emergency magnetic resonance imaging 3-tiered prioritization. Curr Probl Diagn Radiol. 2018;47(2):84-89. PubMed
Table 2: Frameworks for Addressing Wait Times for CT and MRI Scans
Criteria | Description |
---|---|
Brady et al. (2020) – Radiology in the Era of Value-Based Healthcare: A Multi Society Expert Statement From the ACR, CAR, ESR, IS3R, RANZCR, and RSNA10 | |
Jurisdiction | Represents views of Radiology Societies in Canada, Europe, the USA, Australia, and New Zealand |
Type of scan | CT, MRI; radiology scans in general |
Brief description of framework | Describes steps to assess the value of radiology, which in turn may help to improve practice and reduce wait times for patients; includes:
|
Assessment of effectiveness | Recommends constant quality monitoring and promoting a culture of constant quality improvement |
Canadian Medical Association (2011; last reviewed in 2019) – Operational principles for the measurement and management of wait lists (Update 2011)11 a | |
Jurisdiction | Canada |
Type of scan | Not specified |
Brief description of framework | Policy statement providing operational principles to measure and manage wait list systems; principles include:
|
Assessment of effectiveness | Systems for managing wait lists must be monitored and evaluated to identify opportunities for improvement, and regularly undergo independent data audits |
Loving et al. (2017) – Time Is Not on Our Side: How Radiology Practices Should Manage Customer Queues82 | |
Jurisdiction | First author’s affiliations are in the US (jurisdiction otherwise not reported) |
Type of scan | Radiology in general |
Brief description of framework | Describes a framework to resolve queues:
|
Assessment of effectiveness | NR |
NR = not reported.
aAlthough this report was not specific to CT, MRI, or medical imaging in general, it was included due to the limited number of identified frameworks and its potential applicability to CT and MRI, particularly in the Canadian context.
Note that this table has not been copy-edited.
Table 3: Canadian Implementation Plans and Recommendations
Citation | Criteria | Description |
---|---|---|
Implementation plans | ||
Ontario Ministry of Health (2022) – Plan to Stay Open: Health System Stability and Recovery37 | Jurisdiction | Ontario, Canada |
Type of scan | CT, MRI | |
Brief description of strategy | States they are investing in more than 150,000 additional hours for hospital-based MRI and CT machines | |
Assessment of effectiveness | NR | |
Alberta Health Services (2021) – Diagnostic Imaging, CT and MRI Implementation Plan22 | Jurisdiction | Alberta, Canada |
Type of scan | CT, MRI | |
Brief description of strategy | Plan to manage demand for diagnostic imaging. Components specific to reducing wait times and reducing variation between zones included:
Other components that were not directly related to improving wait times, but may have an indirect impact included:
Plan also reported who is accountable for each component | |
Assessment of effectiveness | Planned assessments include:
| |
Nova Scotia Health (2021) – Fiscal Year 2021-22 Quality and Sustainability Plan: August 202142 | Jurisdiction | Nova Scotia |
Type of scan | MRI | |
Brief description of strategy |
| |
Assessment of effectiveness | NR | |
Recommendations | ||
Canadian Association of Radiologists (2022) – Improving Access to Lifesaving Imaging Care for Canadians3 | Jurisdiction | Canada |
Type of scan | CT, MRI; radiology in general | |
Brief description of recommendations |
| |
Assessment of effectiveness | NR | |
Ritchie (2022) – Waitlist for Whitehorse MRI scanner is a thousand patients long44 | Jurisdiction | Yukon |
Type of scan | MRI | |
Brief description of recommendations | News article noting the long wait list for nonurgent MRIs in Yukon (1,000 people); staffing is difficult, and recommendations include:
One option is to send urgent patients to Vancouver if they cannot be accommodated in Yukon, but transportation can also be very costly ($3,500) | |
Assessment of effectiveness | NR | |
Alberta Health Services (2021) – Use of Publicly Funded CT and MRI Services6 | Jurisdiction | Alberta, Canada |
Type of scan | CT, MRI | |
Brief description of strategy | Recommendations include:
| |
Assessment of effectiveness | Recommends measuring and reporting on performance to identify areas of improvement and promote best practices | |
BC Centre for Disease Control (2020) – Provincial Guidance for Medical Imaging Services within British Columbia During the COVID-19 Pandemic Phases19 | Jurisdiction | British Columbia, Canada |
Type of scan | CT and MRI; also provides recommendations for other types of scans | |
Brief description of recommendations | Provides guidance regarding how to resume imaging services that were scaled back during COVID-19-related lockdowns, starting with:
Strategies to increase capacity included:
| |
Assessment of effectiveness | NR | |
Canadian Cardiovascular Society (2020) – Guidance from the CSS COVID-19 Rapid Response Team: Management of referral, triage, waitlist and reassessment of cardiac patients during the COVID-19 pandemic13 | Jurisdiction | Canada |
Type of scan | Cardiac MRI; also includes other types of scans | |
Brief description of recommendations | Provides guidance to help address the backlog of diagnostic tests due COVID-19, including:
Also provides guidance for resumption-of-service:
| |
Assessment of effectiveness | NR | |
Cancer Care Ontario (2020) – COVID 19 Tip Sheet for MRI and CT Facilities14 | Jurisdiction | Canada |
Type of scan | CT, MRI | |
Brief description of recommendations | In context of resuming diagnostic imaging services following shutdowns due to COVID-19, suggestions to improve efficiencies (which may help to reduce wait times):
Also provides some suggestions regarding scheduling:
| |
Assessment of effectiveness | NR | |
Cancer Care Ontario (2020) – Recommendations to Sustain Diagnostic Imaging Services During the COVID-19 Pandemic15 | Jurisdiction | Ontario, Canada |
Type of scan | CT, MRI, diagnostic imaging in general | |
Brief description of recommendations | Recommendations to consider that may help reduce wait times:
| |
Assessment of effectiveness | NR | |
CorHealth Ontario (2020) – Recommendations for an Ontario Approach to Triaging Hospital Based Cardiac Computed Tomography, Cardiovascular Magnetic Resonance Imaging and Cardiac Nuclear Imaging Services During COVID-1927 | Jurisdiction | Ontario, Canada |
Type of scan | CT, MRI; can also apply to nuclear imaging | |
Brief description of recommendations | Recommendations to manage waitlists in the context of COVID-19, though may apply generally:
| |
Assessment of effectiveness | NR | |
Canadian Association of Radiologists (2019) – Enhancing patient care through medical imaging12 | Jurisdiction | Canada |
Type of scan | CT, MRI; radiology scans in general | |
Brief description of recommendations | Recommends additional funding for:
| |
Assessment of effectiveness | NR | |
Manitoba Health (2017) – Wait Times Reduction Task Force: Final Report26 | Jurisdiction | Manitoba, Canada |
Type of scan | MRI | |
Brief description of recommendations | Strategies to reduce demand (and wait times) by appropriate ordering of tests, including:
Increase MRI capacity:
Recommends establishing a provincial program for diagnostic imaging (including MRI) so funding and resources can be directed to where they are most needed; this program should include:
| |
Assessment of effectiveness | Recommends:
| |
Manta et al. (2019) – Determining the appropriateness of requests for outpatient magnetic resonance imaging of the hip33 | Jurisdiction | First author’s affiliations are in Ontario, Canada (jurisdiction otherwise not reported) |
Type of scan | MRI | |
Brief description of recommendation | Commentary focused on inappropriate MRI requests; to help reduce inappropriate referrals, recommends educating physicians on
| |
Assessment of effectiveness | NR | |
Roifman et al. (2018) – The State of Cardiovascular Magnetic Resonance Imaging in Canada: Results from the CanSCMR Pan-Canadian Survey8 | Jurisdiction | Canada |
Type of scan | MRI | |
Brief description of recommendation | Recommends:
| |
Assessment of effectiveness | NR | |
Van Nynatten and Gershon (2017) – Radiology wait times: Impact on Patient Care and Potential Solutions16 | Jurisdiction | Canada; includes a specific example in Prince Edward Island |
Type of scan | CT, MRI | |
Brief description of recommendations | Narrative review; key points included:
| |
Assessment of effectiveness |
| |
Vanderby et al. (2017) – Variations in Magnetic Resonance Imaging Provision and Processes Among Canadian Academic Centres17 | Jurisdiction | Canada |
Type of scan | MRI | |
Brief description of recommendations | Based on survey of Canadian academic medical imaging departments, authors noted that great variation across facilities’ hours of operation, request forms, and prioritization scales, and thus recommended:
| |
Assessment of effectiveness | NR |
AI = artificial intelligence; NR = not reported.
Note that this table has not been copy-edited.
Table 4: International Implementation Plans and Recommendations
First author | Criteria | Description |
---|---|---|
Implementation plans | ||
NHS Lothian (2022) – Edinburgh Cancer Centre Capital Development72 | Jurisdiction | UK |
Type of scan | CT, MRI; diagnostic imaging in general | |
Brief description of strategy | States that their Radiology team will:
Some recommendations related to reducing wait times for imaging:
| |
Assessment of effectiveness | NR | |
Auckland District Health Board (2020) – 2020/21 Annual Plan58 | Jurisdiction | New Zealand |
Type of scan | CT; radiology in general | |
Brief description of plan | Radiology Action Plan states they plan to work with the Northern Region radiology work program to:
| |
Assessment of effectiveness | Goal is that 95% of patients with accepted referrals for CT and 90% of patients with referrals for MRI will receive scan and their scans will be reported within 6 weeks | |
NHS Grampian (2020) – Service Transformation through digital: a Strategy 2020-202567 | Jurisdiction | UK |
Type of scan | Radiology in general | |
Brief description of plan | Outline of digital transformation plan; steps specific to radiology:
| |
Assessment of effectiveness | States that by 2025, will be using data to support continuous improvement of outcomes | |
Saolta University Health Care Group (2019) – An Options Appraisal for Saolta Model 4 Hospital Services in Galway53 | Jurisdiction | Ireland |
Type of scan | CT, MRI; also other diagnostic imaging | |
Brief description of plan |
| |
Assessment of effectiveness | NR | |
Recommendations | ||
Doyle (2022) – Radiology and Te Whatu Ora – Health New Zealand in 2022. Why we should all care57 | Jurisdiction | New Zealand |
Type of scan | CT, MRI; radiography in general | |
Brief description of recommendations | Opinion article with recommendations to address increased demand for diagnostic imaging (exacerbated by COVID-19):
| |
Assessment of effectiveness | NR | |
Hofmann et al. (2021) – Visualizing the Invisible: Invisible Waste in Diagnostic Imaging61 | Jurisdiction | First author’s affiliations are in Norway (jurisdiction otherwise not reported) |
Type of scan | Radiology in general | |
Brief description of strategy | Recommendations to reduce low-value scans (unnecessary scanning):
| |
Assessment of effectiveness | NR | |
McKinsey & Company (2020) – Transforming healthcare with AI: The impact on the workforce and organisations49 | Jurisdiction | European Union |
Type of scan | CT, MRI; diagnostic imaging in general | |
Brief description of strategy | Overview of AI for health; some places where AI can be used to support care related to CT and/or MRI include:
Recommendations regarding using AI in health care in general include:
| |
Assessment of effectiveness | Notes need to develop performance indicators | |
Auditor General for Wales (2018) – Radiology services in Wales68 | Jurisdiction | UK – Wales |
Type of scan | CT, MRI; radiology in general | |
Brief description of recommendations | Highlights key challenges and recommendations to ensure radiology services will be able to keep up with growing demand; key themes for recommendations include:
| |
Assessment of effectiveness | Recommendations include that health boards should have action plans for how waiting times and targets will be achieved short-term and sustained, and the implementation of performance indicators and quality measures to allow for assessment and improvement | |
Parliament of Australia (2018) – Availability and accessibility of diagnostic imaging equipment around Australia45 | Jurisdiction | Australia |
Type of scan | CT, MRI, diagnostic imaging in general | |
Brief description of recommendations | Inquiry report regarding key issues related to diagnostic imaging services. Some recommendations related to CT and MRI that may assist with reducing wait times included:
| |
Assessment of effectiveness | NR | |
South Eastern Sydney Local Health District (2018) – St George Integrated Health Services Plan46 | Jurisdiction | Australia |
Type of scan | Diagnostic imaging in general | |
Brief description of recommendations | Recommends developing a purpose-built diagnostic imaging centre to meet future diagnostic imaging service demands and improve efficiencies; some details regarding the infrastructure include:
Other general recommendations:
| |
Assessment of effectiveness | NR | |
Auditor General for Wales (2017) – Radiology service – Cwm Taf University Health Board69 | Jurisdiction | Wales |
Type of scan | CT, MRI; radiology in general | |
Brief description of recommendations | Recommendations included:
| |
Assessment of effectiveness | Recommends developing range of performance measures (e.g., equipment usage, report turnaround time) as well as workforce measures (e.g., staffing levels, vacancies) | |
Auditor General for Wales (2017) – Radiology service – Cardiff and Vale University Health Board70 | Jurisdiction | Wales |
Type of scan | CT, MRI; radiology in general | |
Brief description of recommendations | Recommendations included:
| |
Assessment of effectiveness | Recommends developing range of performance measures (e.g., equipment downtime, vacancy levels) | |
Auditor General for Wales (2017) – Radiology service – Abertawe Bro Morgannwg University Health Board71 | Jurisdiction | Wales |
Type of scan | CT, MRI; radiology in general | |
Brief description of recommendations | Provides several recommendations, particularly regarding how 2 separate radiology services in this jurisdiction should work together to:
Also recommends the health board set up capital replacement plans and contingency plans for equipment with risk to service continuity and care | |
Assessment of effectiveness | Recommends peer review of reporting quality aligns with professional standards |
AI = artificial intelligence; NR = not reported.
Note that this table has not been copy-edited.
Table 5: Strategies to Address Wait Times
First author | Criteria | Description |
---|---|---|
Multidisciplinary or multiple interventions | ||
Dunne et al. (2022) – A Systematic Review of Interventions to Reduce Computed Tomography Usage in the Emergency Department18 | Jurisdiction | First author’s affiliations are in Canada; included studies were from Australia, Canada, China, Iran, Italy, Japan, Kenya, Lebanon, Netherlands, Qatar, Spain, Taiwan, Turkey, UK, US |
Type of scan | CT – ED | |
Brief description of strategy | Systematic review to assess interventions to reduce CT usage in ED. Strategies that consistently reduced CT usage included providing clinicians with other options instead of a CT scan:
Strategies that had a greater reduction effect: engaged multiple specialties during planning and implementation (compared to being coordinated or implemented by ED staff only). Strategies that did not consistently reduce usage: family/patient education, clinical decision support tools, passive guideline dissemination. | |
Assessment of effectiveness | Review assessed number of CT scans | |
Bhullar et al. (2021) – Reducing the MRI outpatient waiting list through a capacity and demand time series improvement programme59 | Jurisdiction | New Zealand |
Type of scan | MRI | |
Brief description of strategy |
| |
Assessment of effectiveness |
| |
Boldor et al. (2021) – Reforming the MRI system: the Israeli National Program to shorten waiting times and increase efficiency54 | Jurisdiction | Israel |
Type of scan | MRI | |
Brief description of strategy | Ministry of Health established a National Program with the aim of shortening wait time for ambulatory MRI exams to 14 days; components included:
| |
Assessment of effectiveness | Study assessed average wait time for adult neurology MRI, which fell from 52 days prior to reform to 24 days a year later; in the following 2 years it had increased slightly again, up to 32 days. | |
Bor et al. (2021) – Increasing Patient Access to MRI Examinations in an Integrated Multispecialty Practice83 | Jurisdiction | US |
Type of scan | MRI | |
Brief description of strategy | A multidisciplinary project team gathered to design and implement improvements to MRI; general goals and strategies included:
At the ordering phase:
At scheduling phase:
For medical imaging staff:
| |
Assessment of effectiveness |
| |
Dako et al. (2018) – Use of Value Stream Mapping to Reduce Outpatient CT Scan Wait Times84 | Jurisdiction | US |
Type of scan | CT | |
Brief description of strategy |
| |
Assessment of effectiveness |
| |
Neal et al. (2018) – Improving Breast MR Wait Times: A Model for Transitioning Newly Implemented Diagnostic Imaging Procedures into Routine Clinical Operation85 | Jurisdiction | US |
Type of scan | MRI | |
Brief description of strategy |
| |
Assessment of effectiveness |
| |
Barbour and Thakore (2017) – Improving door to CT scanner times for potential stroke thrombolysis candidates – The Emergency Department’s role73 | Jurisdiction | UK – Scotland |
Type of scan | CT – Emergency Department (ED) | |
Brief description of strategy | Plan for patients with a stroke arriving at ED; had multiple cycles: 1. Increase staff awareness and evaluate problem areas that may not have been previously apparent 2. Use information from cycle 1 to ensure equal knowledge of procedures across staff (emails) 3. Further educate using formal presentations 4. Produce memory aid that can be seen by all staff to help streamline and standardize approach 5. Simplify paperwork filled by senior doctors | |
Assessment of effectiveness | Previously, 20% of patients were having their scan in 20 minutes and 70% in 45 minutes; after the last cycle, 60% were having their scan in 20 minutes and 100% within 45 minutes; the variation around the mean also had declined | |
Beker et al. (2017) – Optimizing MRI Logistics: Prospective Analysis of Performance, Efficiency, and Patient Throughput86 | Jurisdiction | US |
Type of scan | MRI | |
Brief description of framework | Study that assessed MRI scanners over 2 weeks to examine delays’ sources, impact, and frequency at each stage; authors state they plan to address the issues causing the most delays:
| |
Assessment of effectiveness | NR | |
Loving et al. (2017) – Time Is Not on Our Side: How Radiology Practices Should Manage Customer Queues82 | Jurisdiction | First author’s affiliations are in the US (jurisdiction otherwise not reported) |
Type of scan | Radiology in general | |
Brief description of strategy | Lists examples of strategies, including:
| |
Assessment of effectiveness | NR | |
Roussos et al. (2017) – Optimizing computed tomography simulation wait times in a busy radiation medicine program28 | Jurisdiction | Ontario, Canada |
Type of scan | CT | |
Brief description of strategy | Improvement program for CT simulation scans involved several phases: Phase 1: Reviewed current booking guidelines and compared to current departmental practice Phase 2: Retrospective chart review of patients (randomly selected from each disease site) Phase 3: Added time for patient care and staff engagement Phase 4: Measured improvements in wait times Changes implemented included:
| |
Assessment of effectiveness |
| |
Purchasing new scanners | ||
Manitoba Health (2022) – Manitoba Provides Update on the Diagnostic and Surgical Recovery Task Force25 | Jurisdiction | Manitoba, Canada |
Type of scan | CT, MRI | |
Brief description of strategy | Purchased and installed a new mobile CT unit and 2 new mobile MRI units for Winnipeg | |
Assessment of effectiveness | NR; reported that the units will be able to deliver more than 11,600 CT scans and 7,200 MRI scans annually | |
Additional operating funding | ||
Ontario Ministry of Health (2022) – Ontario Expanding Access to MRI Services Across the Province38 | Jurisdiction | Ontario, Canada |
Type of scan | MRI | |
Brief description of strategy | Invested more than $20 million in operating funding to support 27 new MRI machines in hospitals | |
Assessment of effectiveness | NR; reported that with more MRI services available, patients can be diagnosed and receive care quicker | |
Expanding operating hours | ||
Lawlor (2022) – ‘The patients are so grateful’ QEII COVID-19 Response Fund tackles wait times, reduces procedure backlogs for patients41 | Jurisdiction | Nova Scotia, Canada |
Type of scan | CT, MRI, other scans | |
Brief description of strategy |
| |
Assessment of effectiveness |
| |
Huizinga (2022) – Horizon Health working overtime in March to clear MRI, mammogram backlog43 | Jurisdiction | New Brunswick, Canada |
Type of scan | MRI, other scans | |
Brief description of strategy |
| |
Assessment of effectiveness | NR | |
Using research MRI scanners for clinical scans | ||
Roifman et al. (2020) – Novel Combined Clinical and Research Protocol to Reduce Wait Times for Cardiac Magnetic Resonance36 | Jurisdiction | Ontario, Canada |
Type of scan | MRI | |
Brief description of strategy | Assessed intervention where both clinical and research cardiac MRIs were performed on a research MRI machine:
| |
Assessment of effectiveness |
| |
Outsourcing scans | ||
Olofsson et al. (2019) – The impact of contracts on outsourcing computed tomography65 | Jurisdiction | Sweden |
Type of scan | CT | |
Brief description of strategy | Study compared 2 outsourcing approaches between a hospital radiology department (in-house) and private external units:
| |
Assessment of effectiveness |
| |
Changes to booking or scheduling processes | ||
Fraig et al. (2022) – Early experience of a local pathway on the waiting time for MRI in patients presenting to a UK district general hospital with suspected cauda equina syndrome78 | Jurisdiction | UK |
Type of scan | MRI | |
Brief description of strategy | Assessed Salisbury Protocol for Assessment of Cauda Equina Syndrome for patients presenting with suspected cauda equina syndrome (CES); the protocol included:
| |
Assessment of effectiveness | Although the number of referrals for MRI doubled, the median time from MRI request to scan decreased from 9.1 hours to 4.2 hours; the number of patients transferred to the regional hub hospital also decreased from 7 to 3 | |
Watura et al. (2022) – Direct Access and Skill Mix Can Reduce Telephone Interruptions and Imaging Wait Times: Improving Radiology Service Effectiveness, Safety and Sustainability79 | Jurisdiction | UK |
Type of scan | CT | |
Brief description of strategy |
| |
Assessment of effectiveness | Mean wait time between CT head request and scan completion pre- and post-intervention was 5.2 and 3.2 hours respectively (a 40% reduction) | |
Gyftopoulos et al. (2019) – The Use of an Emergency Department Expeditor to Improve Emergency Department CT Workflow: Initial Experiences96 | Jurisdiction | US |
Type of scan | CT – ED | |
Brief description of strategy | Implemented a new role, an ED expeditor, piloted over 3 months from 12PM to 8PM on weekdays (busiest time for the ED). This role was stationed in the ED patient area to facilitate easy communication with ED providers. Their main role was to coordinate workup for a patient cleared to undergo ED CT, with tasks depending on specific protocol but generally including calling for transport and checking:
Expeditor was sent emails to describe the new role and function, and trained for 4 weeks before starting, to observe CT technologists and physician-led teams to understand CT workflow and role. | |
Assessment of effectiveness | Decreased mean ordered to scheduled turnaround time (time between order placement and CT workup completion) and mean ordered to completed turnaround time (time between order placement and CT exam completion) | |
Luo et al. (2018) – A discrete event simulation approach for reserving capacity for emergency patients in the radiology department47 | Jurisdiction | China |
Type of scan | CT – ED | |
Brief description of strategy |
| |
Assessment of effectiveness | Simulation found that reserving capacity for emergency patients shortens the delay for nonemergency patients by 42% to 46%, based on the different simulated cases | |
Small et al. (2018) – Emergency Magnetic Resonance Imaging 3-Tiered Prioritization97 | Jurisdiction | US |
Type of scan | MRI – ED | |
Brief description of strategy | Developed a 3-level tiered, unambiguous classification system (1: critical; 2: emergent; 3: urgent) of ED patients, with each tier having
| |
Assessment of effectiveness |
| |
Coordinated referral pathway | ||
Wu et al. (2020) – Does a Multidisciplinary Triage Pathway Facilitate Better Outcomes After Spine Surgery?23 | Jurisdiction | Saskatchewan, Canada |
Type of scan | MRI | |
Brief description of strategy |
| |
Assessment of effectiveness | Wait time for MRI was shorter for the Saskatchewan Spine Pathway group (16.8 days, versus 63.0 days), though wait time to see surgeon or for surgery did not differ statistically significantly | |
Common et al. (2018) – Reducing Wait Time for Lung Cancer Diagnosis and Treatment: Impact of a Multidisciplinary, Centralized Referral Program40 | Jurisdiction | Newfoundland, Canada |
Type of scan | CT | |
Brief description of strategy |
| |
Assessment of effectiveness | Time from first abnormal imaging to biopsy and treatment initiation were shorter for patients handled by the panel compared to traditional process | |
Chiarelli et al. (2017) – Evaluating wait times from screening to breast cancer diagnosis among women undergoing organised assessment vs usual care30 | Jurisdiction | Ontario, Canada |
Type of scan | MRI (breast cancer screening; also includes mammograms) | |
Brief description of strategy |
| |
Assessment of effectiveness | Screened patients with breast cancer, if assessed through Breast Assessment Centres (compared to usual care), were
| |
Artificial intelligence and/or machine learning | ||
Lee et al. (2022) – Emergency triage of brain computed tomography via anomaly detection with a deep generative model64 | Jurisdiction | South Korea |
Type of scan | CT – ED | |
Brief description of strategy | Developed an anomaly detection algorithm with a deep generative model trained on brain CT images of healthy individuals to reprioritize radiology worklists and provides lesion attention maps for brain CT images with critical findings; conducted a clinical simulation test of an emergency cohort | |
Assessment of effectiveness |
| |
Mayberg et al. (2022) – Anisotropic neural deblurring for MRI acceleration55 | Jurisdiction | First author’s affiliations are in Israel (jurisdiction otherwise not reported) |
Type of scan | MRI | |
Brief description of strategy | Proposed using a method of enhancing low-resolution brain MRIs using a trained network, so acquisition time can be shortened while still producing an image that can be used for diagnosis | |
Assessment of effectiveness | NR; image quality was stated to be good quality as assessed by senior neuroradiologists | |
Monsour et al. (2022) – Neuroimaging in the Era of Artificial Intelligence: Current Applications88 | Jurisdiction | First author’s affiliations are in the US (jurisdiction otherwise not reported) |
Type of scan | MRI | |
Brief description of strategy | Review highlighting some potential uses for AI in MRI, including:
| |
Assessment of effectiveness | NR | |
Moummad et al. (2021) – The Impact of Resampling and Denoising Deep Learning Algorithms on Radiomics in Brain Metastases MRI50 | Jurisdiction | France |
Type of scan | MRI | |
Brief description of strategy | Developed resampling and denoising deep learning models, evaluated their impact on radiomics from fast acquisition MRI brain images with metastases | |
Assessment of effectiveness | Fast acquisition resulted in low-resolution images, but deep learning models restored parameters; authors suggested these findings indicate possibility of using deep learning-reconstructed MRI images of brain metastases for predictive radiomic model purposes | |
O’Neill et al. (2021) – Active Reprioritization of the Reading Worklist Using Artificial Intelligence Has a Beneficial Effect on the Turnaround Time for Interpretation of Head CT with Intracranial Hemorrhage89 | Jurisdiction | US |
Type of scan | CT | |
Brief description of strategy | Assessed commercially available machine learning algorithm that flags abnormal noncontrast CTs to detect intracranial hemorrhage; was implemented in 3 stages: 1. “Pop-up” widget on ancillary monitors and education 2. Marked examination (“flagged” studies) in worklists as positive 3. Worklists reprioritized based on positive flags | |
Assessment of effectiveness |
| |
University of British Columbia Cloud Innovation Centre (2021) – Vancouver Coastal Health MRI Project "CAN’T WAIT"20 | Jurisdiction | British Columbia, Canada |
Type of scan | MRI | |
Brief description of tool |
| |
Assessment of effectiveness | NR | |
Curtis et al. (2018) – Machine Learning for Predicting Patient Wait Times and Appointment Delays87 | Jurisdiction | US |
Type of scan | CT, MRI; also included other imaging modalities | |
Brief description of strategy |
| |
Assessment of effectiveness | NR | |
Use of technology for scheduling | ||
Pang et al. (2022) – A dynamic sequential decision‑making model on MRI real‑time scheduling with simulation‑based optimization95 | Jurisdiction | First author’s affiliations are in China and the US; for a real-world case experiment, assessed a hospital in the US |
Type of scan | MRI | |
Brief description of strategy | Developed a model to based on real-time information (of the waiting patients and MRI scanners) which runs several simulations to estimate performance of several possible decisions, then select the best choice to reduce idle scanners and patient waiting times | |
Assessment of effectiveness | Simulation produced decisions that appear better than real-world (i.e., reduced patient waiting time, increased MRI scanner utilization) | |
Yao et al. (2020) – Solving patient referral problems by using bat algorithm66 | Jurisdiction | Taiwan |
Type of scan | MRI | |
Brief description of strategy | Developed a simulation model using system simulation and a bat algorithm to calculate optimal value of daily referral patients | |
Assessment of effectiveness | Model produced recommendations to increase the average total monthly MRI referral patients, which would reduce the wait time from 16 to 8 days | |
Arun and Panicker (2019) - Development of a Patient Scheduling System for a Radio Diagnosis Department52 | Jurisdiction | India |
Type of scan | CT | |
Brief description of tool | Developed a real-time, user-friendly patient scheduling tool in Microsoft Excel, which will provide a schedule based on input (scanning type, date preference) | |
Assessment of effectiveness | NR | |
Accelerated pathways | ||
Chang et al. (2021) – Impact of COVID-19 Workflow Changes on Patient Throughput at Outpatient Imaging Centers90 | Jurisdiction | US |
Type of scan | MRI | |
Brief description of strategy | Developed workflow changes due to COVID-19, including protocols to shorten MRI scanning protocols:
| |
Assessment of effectiveness | Reported that implementation of accelerated imaging protocols resulted in an aggregated reduction of 9.7% in MRI exam times | |
Li et al. (2021) – The Feasibility of a Fast Liver MRI Protocol for Lesion Detection of Adults at 3.0-T91 | Jurisdiction | US |
Type of scan | MRI | |
Brief description of strategy | Tested the diagnostic capacity of a fast liver MRI exam protocol compared to conventional protocol | |
Assessment of effectiveness | Compared to conventional protocol, the proposed fast liver MRI workflow:
| |
Shakeel et al. (2021) – Wait times in the management of non–small cell lung carcinoma before, during and after regionalization of lung cancer care: a high-resolution analysis29 | Jurisdiction | Ontario, Canada |
Type of scan | CT | |
Brief description of strategy | Assessed wait times for patients with non–small cell lung carcinoma before and after regionalization of lung cancer care in Ontario | |
Assessment of effectiveness |
| |
Buell et al. (2019) – Expediting the management of cauda equina syndrome in the emergency department through clinical pathway design77 | Jurisdiction | UK |
Type of scan | MRI – ED | |
Brief description of strategy | Developed a pathway aiming to reduce time needed to diagnose or exclude cauda equina syndrome (CES) by MRI in the ED:
| |
Assessment of effectiveness | In study of 17 patients:
| |
Rudder et al. (2019) – Effects of an MRI Try Without program on patient access92 | Jurisdiction | US |
Type of scan | MRI | |
Brief description of strategy | Program to reduce usage of sedation or anesthesia for pediatric MRI:
| |
Assessment of effectiveness |
| |
Bargnoux et al. (2018) – Point-of-care creatinine testing in patients receiving contrast-enhanced computed tomography scan51 | Jurisdiction | France |
Type of scan | CT – ED | |
Brief description of strategy | As renal function must be assessed before contrast-enhanced CT (due to risk for an acute kidney injury), this study aimed to evaluate the implementation of a rapid point-of-care creatinine test for patients at the ED for a CT | |
Assessment of effectiveness | Point-of-care creatinine test had good agreement with central laboratory methods, and was faster (results were available in approximately 0.52 hours, compared to 1.95 hours), which led to a reduced waiting time for CT (1.73 hours, versus 2.57 hours) | |
Farrell et al. (2018) – Acute appendicitis in childhood: oral contrast does not improve CT diagnosis93 | Jurisdiction | US |
Type of scan | CT | |
Brief description of strategy | Assessed impact of conducting CT without oral contrast for suspected appendicitis in children, compared to using oral contrast | |
Assessment of effectiveness |
| |
Ma et al. (2018) – Fast 3D Magnetic Resonance Fingerprinting (MRF) For a Whole Brain Coverage94 | Jurisdiction | US |
Type of scan | MRI (Magnetic Resonance Fingerprinting) | |
Brief description of strategy | Assessed an accelerated acquisition of 3-D magnetic resonance fingerprinting scan (total acceleration factor of 144, compared to Nyquist rate) | |
Assessment of effectiveness | Accelerated scan showed good agreement with standard values with high image quality in less than 5 minutes | |
Al Kadhi et al. (2017) – A renal colic fast track pathway to improve waiting times and outcomes for patients presenting to the emergency department74 | Jurisdiction | UK |
Type of scan | CT – ED | |
Brief description of tool |
| |
Assessment of effectiveness | Time to radiologist-reported imaging was shorter in the fast-track group (99.9 minutes) than non–fast-track group (148.9 minutes) | |
Rapid and walk-in clinics | ||
Paulino Pereira et al. (2022) - Superfast Magnetic Resonance Imaging-based Diagnostic Pathway for Prostate Cancer56 | Jurisdiction | Netherlands |
Type of scan | MRI | |
Brief description of strategy | Assessed a superfast (< 36 hours) diagnostic pathway for patients at risk of prostate cancer (prostate-specific antigen levels between 3 and 50 ng/mL, and/or abnormal digital rectal exam):
| |
Assessment of effectiveness |
| |
Bhuva et al. (2019) – MRI for patients with cardiac implantable electronic devices: simplifying complexity with a ‘one-stop’ service model80 | Jurisdiction | UK |
Type of scan | MRI | |
Brief description of strategy | Set up a ‘one-stop’ service model for patients with cardiac implantable electronic devices (require additional steps for MRI):
| |
Assessment of effectiveness | Waiting time fell from 60 days to 15 days; no adverse events from MRI scans despite cardiac devices | |
Gulak et al. (2019) – Implementing a one-day testing model improves timeliness of workup for patients with lung cancer31 | Jurisdiction | Ontario, Canada |
Type of scan | MRI; also assessed others | |
Brief description of strategy | Multidisciplinary team created a “Navigation Day,” a single-day visit for patients with lung cancer including nurse-led teaching, social work, smoking cessation counselling, symptom control, and dedicated test slots for integrated PET-CT, pulmonary function tests, and MRI of the brain | |
Assessment of effectiveness | Wait time for brain MRI fell from 16.0 days to 10.2 days | |
van Sambeek et al. (2018) – The success of walk-in-computed tomography in practice60 | Jurisdiction | Netherlands |
Type of scan | CT | |
Brief description of strategy |
| |
Assessment of effectiveness | Authors concluded that walk-in CT functions better than an entirely appointment-based one by nearly eliminating access time and increasing satisfaction among staff, physicians, and patients | |
Alternative exams or pathways | ||
Alhowimel et al. (2021) – Development of a Logic Model for a Programme to Reduce the Magnetic Resonance Imaging Rate for Non-Specific Lower Back Pain in a Tertiary Care Centre62 | Jurisdiction | Saudi Arabia |
Type of scan | MRI | |
Brief description of tool |
| |
Assessment of effectiveness | Expect to see reduced MRI referrals (estimated 25% reduction after 6-month pilot); also plan to assess time to access the service | |
Cock et al. (2021) – Adapting a 2-week-wait colorectal service in the pandemic using the quantitative faecal immunochemical test75 | Jurisdiction | UK |
Type of scan | CT | |
Brief description of strategy |
| |
Assessment of effectiveness | Some patients who had a qFIT < 10 were later determined to have cancer; however, this may help to triage and prioritize patients if there is lack of staff and/or capacity for a CT | |
O’Donohoe et al. (2021) – COVID-19 recovery: tackling the 2-week wait colorectal pathway backlog by optimising CT colonography utilisation76 | Jurisdiction | UK |
Type of scan | CT | |
Brief description of strategy | Retrospective review; assessed patients who underwent CT colonography to determine appropriateness | |
Assessment of effectiveness | Found that only 13% of CT colonography procedures met guidance, and some should have undergone a colonoscopy instead; this may be a method of addressing the backlog of CT resources | |
Kandiah et al. (2020) – Reducing the Volume of Low-Value Outpatient MRI Joint Examinations in Patients ≥55 Years of Age21 | Jurisdiction | British Columbia, Canada |
Type of scan | CT, MRI arthrogram | |
Brief description of strategy | Assessed if referring to X-ray to evaluate concomitant osteoarthritis could reduce inappropriate MRI and CT arthrogram use, for patients scheduled for outpatient MRI (who did not have red flags) | |
Assessment of effectiveness | Resulted in statistically significantly fewer number of low-value protocoled MRIs and CT arthrogram examinations | |
Law et al. (2020) – Computed tomography-based diagnosis of occult fragility hip fractures offer shorter waiting times with no inadvertent missed diagnosis63 | Jurisdiction | Singapore |
Type of scan | MRI | |
Brief description of strategy | Retrospective review of scans for occult fragility hip fractures, comparing CT and MRI | |
Assessment of effectiveness |
| |
Patient education interventions | ||
Dawdy et al. (2018) – Developing and Evaluating Multimedia Patient Education Tools to Better Prepare Prostate-Cancer Patients for Radiotherapy Treatment (Randomized Study)32 | Jurisdiction | Ontario, Canada |
Type of scan | CT | |
Brief description of strategy | Educational tools for patients provided prior to appointment, with a reminder 1 to 3 days before their appointment to review the provided tools:
| |
Assessment of effectiveness | Both treatment groups had a lower rescan rate (24% of patients requiring a rescan) compared to the historical control (76%) | |
Physician education interventions | ||
Zarrabian et al. (2017) – Improving spine surgical access, appropriateness and efficiency in metropolitan, urban and rural settings34 | Jurisdiction | Ontario, Canada |
Type of scan | MRI | |
Brief description of strategy |
| |
Assessment of effectiveness | At ISAEC locations, referral MRI usage decreased by 31% | |
Appropriate use checklist and guidance | ||
Madani Larijani et al. (2021) – Combined lumbar spine MRI and CT appropriateness checklist: a quality improvement project in Saskatchewan, Canada24 | Jurisdiction | Saskatchewan, Canada |
Type of scan | CT, MRI | |
Brief description of strategy | Developed and adopted evidence-based lumbar spine MRI and CT combined checklist into radiology requisition process, based on a systematic literature search; tested at 2 sites | |
Assessment of effectiveness | Mixed results:
| |
Xu et al. (2020) – Reduction in inappropriate MRI knee studies after implementation of an appropriateness checklist: Experience at a tertiary care centre35 | Jurisdiction | Ontario, Canada |
Type of scan | MRI | |
Brief description of strategy | Developed knee MRI appropriateness checklist with mandatory adherence from referring physicians; presence of moderate or greater osteoarthritis on reports was marker for inappropriate MRIs | |
Assessment of effectiveness |
| |
Mettias and Lyons (2019) – Magnetic resonance imaging for vestibular schwannoma: cost-effective protocol for referrals81 | Jurisdiction | UK |
Type of scan | MRI | |
Brief description of strategy | Based on previously published guidelines, developed MRI referral criteria, and compared before and after to assess impact of using a referral protocol | |
Assessment of effectiveness | Reported that after implementing referral criteria:
| |
Tan et al. (2017) – Breast magnetic resonance imaging: are those who need it getting it?39 | Jurisdiction | Quebec, Canada |
Type of scan | MRI | |
Brief description of strategy | 1. Conducted audit and institution of breast MRI exams being performed to classify indications 2. Organized a multidisciplinary half-day session for the breast team: presented an informal review of literature about MRI use for breast cancer staging, high-risk screening, and other indications, then developed an institutional consensus-based modified radiology form to reflect accepted indications for MRI; also took steps to ensure the document was easily accessible to all clinicians | |
Assessment of effectiveness |
| |
Improved communication | ||
Huang et al. (2022) – Emergency department treatment process planning: a field research, case analysis, and simulation approach48 | Jurisdiction | First author’s affiliations are in China (jurisdiction otherwise not reported) |
Type of scan | CT – ED | |
Brief description of strategy |
| |
Assessment of effectiveness | NR |
AI = artificial intelligence; DI = diagnostic imaging; ED = emergency department; ISAEC = Inter-professional Spine Assessment and Education Clinics; MR = magnetic resonance.
Note that this table has not been copy-edited.
ISSN: 2563-6596
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