Abstract
The existing fellowship imaging informatics curriculum, established in 2004, has not undergone formal revision since its inception and inaccurately reflects present-day radiology infrastructure. It insufficiently equips trainees for today’s informatics challenges as current practices require an understanding of advanced informatics processes and more complex system integration. We sought to address this issue by surveying imaging informatics fellowship program directors across the country to determine the components and cutline for essential topics in a standardized imaging informatics curriculum, the consensus on essential versus supplementary knowledge, and the factors individual programs may use to determine if a newly developed topic is an essential topic. We further identified typical program structural elements and sought fellowship director consensus on offering official graduate trainee certification to imaging informatics fellows. Here, we aim to provide an imaging informatics fellowship director consensus on topics considered essential while still providing a framework for informatics fellowship programs to customize their individual curricula.
Keywords: “Core” curriculum, Informatics education, Informatics topics
Introduction
Guided by advancing technology and collaborative efforts from imaging experts, enterprise medical imaging is continually evolving [1]. Enterprise imaging encompasses the acquisition and management of interdisciplinary modality types (i.e., diagnostic and interventional radiology images, as well as visible light imaging such as digital pathology, endoscopy, ophthalmic photography, and other specialized applications). [2] Radiology and visible light imaging routinely fall under the governance of imaging informaticists. As the demand for medical images continues to increase, so does the need for efficient, safe workflow processes, and practices driven by imaging informatics [3]. Advanced training programs and fellowships in imaging informatics are a key contributor in addressing current areas of development, performing complex system integration, and shaping the future of the industry. These programs graduate the next generation of informatics leaders yearly. However, there is no current, widely accepted curriculum for imaging informatics fellowships, which may hinder graduates from operating at present-day demands and practices.
Historical Context of Imaging Informatics Education
The need for an imaging informatics fellowship became increasingly evident during the early period of the digital radiology revolution as early as 2002. On the basis of published literature, Bartholmai et al. initially discussed the value of a subspecialized radiologist informaticist as contemporary radiology practices demanded both efficient workflow and novel technology [4]. Subsequently, in 2004, Branstetter et al. explored the basis of a core curriculum at a time when informatics fellowship education content was ill-defined and widely different across programs [5]. The present radiology informatics prospectus stems from this early outline, which was adopted by the Society for Computer Applications in Radiology (SCAR, now known as the Society for Imaging Informatics in Medicine or SIIM) in 2004. As SCAR evolved into SIIM, a stated pillar of SIIM’s mission has been advancing imaging informatics across the medical enterprise through education. Nearly two decades later, there are now over 10 imaging informatics fellowships across the country, many of which are listed on the SIIM website [6]. Within that time, the discipline of imaging informatics has undergone significant changes with advents in artificial intelligence, new picture archiving and communication systems (PACS) standards, improvements in natural language processing (NLP), changing business analytics, and inclusion of other medical specialties, to name a few. This provides an opportunity to build upon previous work and identify some of the most critical components of a contemporary imaging informatics fellowship curriculum.
Providing important historical context for a fellowship curriculum is the compact, easily accessible, National Imaging Informatics Curriculum (NIIC), which has been created for radiology resident education as a week-long course sponsored by the Radiological Society of North America (RSNA) [7]. This course represents a tremendous amount of work to create both live and recorded lectures yearly over the course of one week that may be accessible to all residents, including those who will not be involved in an imaging informatics role later in their careers. Although this course is short-term rather than over the length of a dedicated informatics fellowship and dedicated to a general audience rather than aimed at fellow-specific education, it represents a key stepping stone for an Imaging Informatics Fellowship curriculum and serves as the basis for Imaging Informatics Fellowship sub-topics as defined in prior work [8].
Themes of Standardization in Curricular Reform
Speaking to the push for standardization across the gamut of medical specialties, medical education reform has been well-recognized as integral to ophthalmology, gastroenterology and minimally invasive surgery, and emergency care. Within ophthalmology, Lee et al. noted that the existing model, which refers to a traditional apprenticeship approach to teaching, lacked standardization, and as a result, programs and individuals were susceptible to wide variability in performance [9]. To address some of the challenges introduced by the modern healthcare environment, ophthalmology updated its curricula to a more comprehensive, structured, and competency-based model in 2013 [10]. Moreover, following analysis of a pilot study to assess feasibility of new educational content and accreditation criteria for advanced gastrointestinal and minimally invasive surgery fellows, Weis et al. concluded that a revised criteria would enhance fellow training [11]. Lastly, in their report advocating for the development of a standardized curriculum, Chahine et al. listed the need for sound and reproducible skillsets in the emergency care setting as a driving impetus for emergency radiology training standardization [12]. As evidenced by these examples, lack of uniformity within fields outside informatics has been an impediment to teaching, which has led to educational innovations and subsequently, implementation of standardized curricula. The positive changes achieved through the adoption of a revised curriculum in these instances support similar medical education reform in imaging informatics.
Essential Curricular Topics in a Dynamic Field and the Future of Imaging Informatics Education
Recent work characterized a broad universe of informatics topics identified by imaging informatic fellowship directors, which account for the current state of the field and its trajectory. Makeeva et al. found that all surveyed imaging informatics programs are incorporating new specifications and standards not found in previously available outlines (i.e., Fast Healthcare Interoperability Resources (FHIR) and Digital Imaging and Communications in Medicine web (DICOMweb)) [8]. In this investigation, our goal is to provide a consensus on topics considered essential while still providing a framework for informatics fellowship programs to customize their individual curricula. We surveyed informatics fellowship program directors across the country to determine the components and cutline for essential topics in a standardized curriculum, the consensus on essential versus supplementary knowledge, and the factors individual programs may use to determine if a newly developed topic (such as the development of FHIR since the publication of the 2004 SCAR curriculum) is an essential topic. We further identified typical program structural elements, such as available faculty and funding sources for the program. And finally, we sought fellowship director consensus on offering official graduate trainee certification to imaging informatics fellows.
Methods
This institutional review board-exempt study was performed in a Health Insurance Portability and Accountability Act-compliant manner.
As delineated in methods originally published by Vey et al., we surveyed directors of imaging informatics fellowships listed on the SIIM website with the focus of this work being only on fellowships focusing exclusively on imaging informatics offered to MD or DO applicants as opposed to radiology resident curricula, medical physicist’s training, or general clinical informatics training [13]. We directly contacted 10 programs via email and/or phone and were able to successfully arrange phone interviews with 6 (6/10, 60%) program directors. Only fellowships focusing exclusively on imaging informatics offered to MD or DO applicants, as opposed to biomedical or more general clinical informatics, were solicited. Surveys were administered using Google Docs (Google LLC, Mountain View, CA). Survey questions were related to four general categories: questions related to topic selection, questions related to inter-program collaboration, questions related to program structure, and questions related to imaging informatics fellow graduate certification. Question format consisted of a combination of 5-item Likert-type (5-LK) scale (1 = definitely not, 2 = probably not, 3 = neutral, 4 = probably, and 5 = definitely), multiple choice, and open-ended styles. Questions posed to program directors are presented in Table 1.
Table 1.
Questions on topic selection | Answer type |
---|---|
Do you think we should have two different core curricula, one for programs with an academic focus and one for programs with a clinical focus? | Multiple choice: yes, no |
What should be the cut line for consensus before a topic is a “core” curriculum topic? | Multiple choice: 3 and above, 3.5 and above, 4 and above, 4.5 and above, 5 |
What other factors should we use to determine if a topic is a “core” topic? Please note, 77% (88/114) of sub-topics had had mixed grading defined by two or fewer “definitely” ratings. Check all that apply |
Multiple choice: potential benefit to fellows’ future careers in academics, potential benefit to fellows’ future careers in private practice, frequent inclusion in standardized tests, frequent inclusion in informatics literature, potential benefit to entrepreneurial ventures, current interest in the topic among non-informatics professionals, importance in building a common language with non-medical informatics professionals, potential to foster leadership in the fellows’ future career AND Open-ended |
Two programs indicated that additional topics should be included. Please rate each topic on a 5-item scale for likelihood to include in a standardized imaging informatics curriculum | 5-LK scale: definitely, probably, neutral, probably not, definitely not |
Questions on inter-program collaboration | |
Which topics is your program especially strong in teaching? What aspects of your program or teaching methods make this program a strength? | Open-ended |
Which topics would your program want help covering? | Open-ended |
Questions on program structure | |
Total number of program spots per year? Please differentiate between MD, DO, and PhD if applicable | Open-ended |
How is the institution funding the position? Please check all that apply | Multiple choice: grant, informatics department, radiology department, office of graduate medical education, no funding |
How many faculty are available for the informatics fellowship? |
Multiple choice: 0–5, 5–10, 10–15, 15–20, Over 20 AND Open-ended |
How much total time is needed for a fellow to dedicate to each fellowship program? Please record the number of hours | Multiple choice: over 2000, 2000 (approximately a full dedicated year at 8 h per day for 260 days, the number of working days in a year), 1000 (approximately half a dedicated year at 8 h per day for 130 days), 300–400 (approximately one 8 h day per month for 4 years), Fewer than 300 |
Questions on imaging informatics fellow graduate certification | |
Is it important to work towards a formal imaging informatics certification, such as the clinical informatics (CI) certification sponsored by the American Board of Preventative Medicine (ABPM), or the imaging informatics professional (IIP) certification offered by the American Board of Imaging Informatics (ABII)? | 5-LK scale: definitely, probably, neutral, probably not, definitely not |
After we identified the 5-LK score above which a topic was agreed as essential, we mapped 29 broad categories and 114 sub-topics from Vey et al. and Makeeva et al.’s preceding manuscripts to one of the three numbered tiers based on 5-LK score and to a separate supplemental topics category related to the newly identified cutline [8, 13]. Essential topics were determined using this newly defined cutline, as detailed below. Sub-topics were based on materials from the National Imaging Informatics Curriculum (NIIC), a week-long course sponsored by SIIM and the Radiology Society of North America (RSNA) intended to provide a formal introduction to imaging informatics. The 114 sub-topics were adopted directly as written from the NIIC curriculum. For further clarification on topic groupings and definitions, please refer to the NIIC curriculum [7]. Expected level of proficiency within each sub-topic was not queried, given variations of proficiency expectation by different programs, which would represent a future area of investigation.
Results
Of the 10 program directors contacted, 6 (60%) responded. This response rate is comparable to similar studies performed [14–16]. All of the participating institutions recruited exclusively MD/DO trainees. Of the 6 program directors, there were 5 (83%) who agreed that there should be a single curriculum as opposed to two different syllabi (one of academic focus and one of clinical focus).
Among the interviewed imaging informatics directors, 50% (3/6) identified “3.5” as the mean 5-LK scale score cutoff to be used when selecting possible topics for inclusion into a core curriculum. Among the directors, 33% (2/6) favored a mean score of “3,” while 17% (1/6) opted for a mean 5-LK score of “4” (Fig. 1). In terms of factors which warrant consideration prior to making the determination that a subject should be accepted as a core sub-topic, 83% (5/6) of informatics program directors placed high importance on a sub-topic’s potential benefit to fellows’ future career in academics or in private practice. Among the program directors, 83% (5/6) also valued sub-topic presence in informatics literature and topic potential to foster leadership in a fellow’s future career, and 50% (3/6) placed significant standing on a sub-topic’s ability to help build common language with nonmedical informatics professionals. A sub-topic’s frequency of inclusion in standardized tests was voted on by 33% (2/6) of program directors as a factor which should be considered for core sub-topic determination. Meanwhile, potential benefit to entrepreneurial ventures, current interest in the topic among non-informatics professionals, and common component of future job were seen as the least important. These results are presented in Fig. 2.
Using a 5-LK scale, we mapped each of the 114 sub-topics into tiers (Table 2). Tier 1 (mean 5-LK scale score equal to 5) consisted of 10-sub-topics which received the maximal scores of 5 among all program directors: business management skills, DICOM, HL7, IHE, machine learning/artificial intelligence, natural language processing, PACS, standards, storage, and structured reporting. Tier 2 consisted of sub-topics which received broad consensus (a mean 5-LK scale score ≥ 4, but < 5). Tier 3 consisted of topics with a mean 5-LK score ≥ 3.5 and < 4.
Table 2.
Tier 1 | Tier 2 | Tier 3 | Supplemental |
---|---|---|---|
Business management skills | Business intelligence | Active directory | Alternate and virtual reality |
Digital imaging and communications in medicine (DICOM) | Change management | Advanced 3D visualization | Capability maturity model |
Health Leven seven (HL7) | Communications | Archives advanced 3D | Compliance |
Integrating the healthcare enterprise (IHE) | Compression | Cloud computing | Ergonomics |
Machine learning/artificial intelligence (ML/AI) | Conflict of interest | Contract process (service level agreements (SLAs), performance reviews | Finance modeling |
Natural language processing (NLP) | Current procedural terminology (CPT) | Data plumbing (validation, normalization, access) | Hacking |
Picture archiving and communications systems (PACS) | Critical and noncritical results communication | Department infrastructure | High-availability design |
Standards | Critical test result manager tools | Education | HR |
Storage | Data science | Eliminating “burned in” metadata | Leadership |
Structured reporting | Database design | Extract, transform, load (ETL) | Lean |
Dashboarding | Finance | Organizational design | |
Decision support | Honest broker architecture | Quasi-experimental study design | |
DICOM metadata | Imaging segmentation | PHP (programming language) | |
Dictation and report generation | Informatics funding | Radiation dose | |
Downtime Procedures | Infrastructure (computers, networking) | Revenue Cycle | |
Enterprise imaging | Information technology infrastructure library (ITIL) | Security layers | |
Health insurance portability and accountability Act (HIPAA) | Patient portals | Server architecture | |
Human factors engineering | Patient safety | Six Sigma | |
International classifications of diseases (ICD) | Peer review | Social media | |
Image acquisition process | Perception | Specialty PACS | |
Implementation and upgrades of clinical systems | Performance reviews | Storage area networks | |
Implications of regulations | Procurement | System Design | |
Information visualization | Project management | Usability analysis | |
Institutional review board (IRB) implication of informatics | Protocoling tools | Workflow modeling/analysis | |
Logical observation identifiers names and codes (LOINC) | Purchasing | ||
Meaningful use | Python | ||
Merit-based incentive payment system (MIPS) | Requirements gathering | ||
Monitors | Scripting | ||
Negotiation | Security | ||
Networks | Service-oriented architecture | ||
Order entry | Structured query language (SQL) | ||
Protecting access to Medicare Act (PAMA) | Study management | ||
Protected health information (PHI) definition | Surveying methods | ||
Programming/development software | System evaluation | ||
Quality | System implementation | ||
RadLex | Visualization | ||
Report distribution | 3D printing | ||
Request for proposal (RFP) | |||
Radiology information system (RIS) | |||
Scheduling | |||
Systematized nomenclature of medicine (SNOMED) | |||
System interoperability | |||
Tech feedback | |||
Vendor selection and dealing with vendors | |||
Viewers |
Two programs requested that the following sub-topics also be considered for curriculum inclusion: alternate/virtual reality, Lean, Python, and Six Sigma. We surveyed imaging informatics program directors to rate the relative importance of each of these new sub-topics. Python received the highest mean score of 3.8/5 on the 5-LK scale, followed by Lean and Six Sigma, which both received mean scores of 3.2/5. Alternate and virtual reality received a less than favorable rating with a mean 5-LK scale score of 2.8/5.
One program director emphasized the importance of a project manager role, expressing, “Leadership and project management are pretty key unless they [imaging informatic fellows] are ng strictly imaging research. An informatics specialist is generally expected to help make technology decisions and lead project implementations.” Another program director called attention to product testing stating, “I can’t see informatics without some usability analysis.”
When asked about the importance of an imaging informatics certificate for graduating fellows, three programs (3/6, 50%) voted “3” on a 5-LK scale, the equivalent of a “neutral” stance. The remaining programs indicated a stronger desire to offer certificates to advancing trainees, with two programs (2/6, 33%) noting its “probable” importance and one program (1/6, 16%) denoting it “definitely” important.
In terms of the total amount of time fellows dedicate during their informatics training, the majority of programs (4/6, 66%) approximate 1,000 devoted hours throughout the course of the fellowship year when given the following choices: fewer than 300 h, between 300 and 400 h, 1,000 h, 2,000 h, and over 2,000 h. The other 2 programs (2/6, 33%) selected approximately 300–400 h or fewer than 300 h as sufficient. Further, one program director added, “We generally expect 2,000 h, but have had split/combined fellowships. A half year is probably possible to get expertise/training, but better to interleave with clinical duties so long projects can get done. Having no clinical duties/experience for a full year is not necessarily a good thing, but doing informatics work in a specialty area can be a bonus to the fellow and the clinical areas.”
All programs offered at most 1 imaging informatics fellowship spot per academic year. Institutional funding for said position originated from the radiology division in 50% of programs (3/6) and from the graduate medical education (GME) office in 33% (2/6) programs. One (16%) program reported not receiving funding. 100% of respondents reported their program having up to 5 imaging informatics faculty available to help educate fellows. Of note, one program director noted that albeit not considered faculty, their informatics staff (certified imaging informatic professionals (CIIP) and imaging informatics professionals (IIP)) play an important role in fellow education.
Discussion
As the field of radiology continues to undergo dramatic changes, a current and customizable curriculum is necessary. Consideration was made regarding the utility of two prospectuses, one for imaging informatics fellowship programs with an academic focus and another for those with a more clinical emphasis. Previous work has found disagreement between what should and should not be considered a core curriculum sub-topic [8]. One potential reason for these differences was posited to be that different programs have different objectives, such as those fellowship programs with an academic informatics as opposed to a clinical informatics focus, as the goals and objectives of a clinical informatics fellow and an academic informatics fellow may be inherently different. However, most of the current program directors, 83% (5/6), find instituting a single updated core curriculum appropriate.
Following review and analysis of surveys as well as communication exchanges with several imaging informatics fellowship directors, we propose an outline which highlights the most current and essential sub-topics and provides a blueprint/framework for tailoring topic selection to trainee interest and/or program resources. We further deliberate the value of an accompanying certification.
Top-Tier Topics
First, key topics in which a fellow must achieve proficiency need to be identified. We formerly reviewed those listed in the NIIC-RAD as well as ABII TCO (American Board of Imaging Informatics Test Content Outline) and derived 114 sub-topics. Based on our results, a cutoff 5-LK consensus score of 3.5 (an intermediary between “neutral” and “probably”) delineated core and supplemental sub-topics. Mastery of the core topics is intended to provide essential skills for troubleshooting of division workflow issues, successful implementation of new components to existing interfaces, and adept understanding of a lexicon for facilitated communication between clinical as well as non-clinical members of an informatics department. Core topics are further stratified into 3 tiers (tiers 1, 2 and 3), tabulated based on 5-LK scores as determined by current fellowship program directors.
Tier 1 sub-topics commensurate with unanimous consensus among program directors. We posit that these 10 sub-topics are subjects to be included in most, if not all, imaging informatics fellowship curricula, as competence in those areas ensure a strong foundation (Table 2). Having received a mean 5-LK scale score ≥ 4, but < 5, tier 2 sub-topics warrant strong consideration for inclusion into a standardized curriculum because they support a broad consensus, but these sub-topics are not required (Table 2). Tier 3 sub-topics are considered optional, having received mean 5-LK score ≥ 3.5, but < 4 (Table 2). Of note, based on results of the prior work by Makeeva et al., 4 new sub-topics were suggested by program directors for possible inclusion into a revised curriculum, but were not rated on relative importance for inclusion using the 5-LK scale (Python, Lean, Six Sigma, and alternate reality/virtual reality). After we surveyed program directors on these topics, we found Python received the highest mean score of 3.8/5, placing it in the Tier 3 category for curriculum inclusion. This also speaks to the value of socializing curriculum standardization with leaders in the field, as this topic would not have been included had its inclusion depended solely on previously existing resources (i.e., NIIC-RAD, ABII, TCO).
We noticed that program directors were rating overlapping sub-topics differently, which provides nuanced insight into their goals for fellows. The sub-topic ETL (extract, transform, load) received a tier 3 rating, while the sub-topic business intelligence received a higher tier 2 rating. ETL by itself is a data integration process that combines data from multiple sources into one consistent source, while business intelligence also deals with information management, but focusing more on processes like access, storage, and analysis for the purpose of making better business decisions. We can conclude that program directors are valuing fellows’ ability to manage data for the purpose of business decisions over for the purpose of integrating data for the sake of simplification alone.
Providing a Framework for Customization
Second, we recognize the need for programs to further customize. To this end, a list of distinctive competencies is itemized in Table 2 (tier 4 – supplemental sub-topic, mean 5-LK scale score < 3.5), which afford program directors an additional degree of heterogeneity when tailoring trainee experience. Illustrating the need for a system to assist with curricular customization, although the sub-topic of usability analysis was ranked as a supplemental sub-topic receiving a 5-LK score < 3.5 overall, one survey respondent specifically expressed, “I can’t see informatics without some usability analysis.” To allow for more iterative possibilities, we compiled several factors to contemplate when considering core and supplemental sub-topics, which we expect to be weighted differently by different programs, presented in Fig. 2. Some of those factors include a sub-topic’s potential benefit to fellow future career in academics or private practice and the frequency in which a sub-topic appears in imaging informatics literature. Considering long-term benefits of a sub-topic in both practice settings (academic vs. private practice) can serve as an additional safeguard against creating a curriculum that is mis-proportioned, and instead allows for better balance between practical content as well as more scholastic subject matter. Reference of imaging informatics literature during sub-topic selection is perhaps most helpful in staying abreast in a dynamic field. Another factor to consider is a sub-topic’s potential to foster leadership ability in fellow future career; this echoes sentiments pointed out by a survey respondent advocating for managerial responsibilities, which can lead to skill development in nonclinical domains as a bonus (i.e., communication, professionalism, and teamwork). The above components can be leveraged to establish an appropriate framework when crafting an updated curriculum.
Sample Curriculum and Timeframe
We have referenced a curriculum of a large academic imaging informatics fellowship program in Table 3 organized by tiers including tier 1 (Likert = 5), tier 2 ( Likert ≥ 4 and < 5), tier 3 (Likert ≥ 3.5 and < 4), and tier 4 supplemental (Likert < 3.5) sub-topics [17]. This reference may be used as an example of how a curriculum may be structured according to a tiered system, and as an added benefit, this structure illustrates the relative importance of sub-topics so that emphasis in the curriculum may be distributed appropriately. Important to note is that not every one of the 114 total sub-topics is listed, which speaks to the value of customizing individual program curricula based on program interests and strengths. The referenced curriculum is interleaved with a clinical subspecialty, and acceptance into the program is contingent upon acceptance into a clinical subspecialty area at the institution, in keeping with survey commentary.
Table 3.
Tier 1 | Tier 2 | Tier 3 | Supplemental |
---|---|---|---|
Business management skills | Change management | Education | Leadership |
DICOM | Critical and noncritical results communication | Project management | Server architecture |
HL7 | Dealing with DICOM metadata | Security | |
IHE | Dealing with vendors | ||
ML/AI | Downtime procedures | ||
PACS | Enterprise imaging | ||
Standards | Human factor engineering | ||
Structured reporting | Implications of regulations | ||
Monitors | |||
Quality | |||
RIS | |||
System interoperability |
In structuring an informatics fellowship that can adopt an updated curriculum outline such as the one presented below, it is helpful to understand baseline data on program requirements. Based on our results, the guidance on fellowship program duration is approximately half a year at 8 h per day for 130 days and interleaving training with clinical duties which has been noted to be superior to providing fellows with dedicated time all at once.
The Future of Standardization in Imaging Informatics Education
At the time of this writing, imaging informatics fellowships are non-ACGME accredited. On the one hand, this may present a challenge in terms of financial support, while on the other, this offers certain flexibility to program directors. We found that in the majority of cases, funding opportunity stemmed directly from the radiology department (3/6, 50%) or GME office (2/6, 33%), and thus, early developing informatics fellowships can seek these avenues for partnerships when choosing how to direct their efforts. Further, reliance on CIIPs and IIPs was reported as an important asset to trainee education; this can be a valuable approach for smaller fellowship programs to expand.
Whether a certificate should be issued following completion of an informatics fellowship remains to be determined. Surveyed program directors were split on this issue with 50% (3/6) favoring certification, while the remaining 50% of program directors were neither for nor against it. Certain imaging informatics certificates do currently exist and aim to serve as a designation for competence in medical imaging informatics. For instance, the ABII sponsors the CIIP and the American Board of Preventive Medicine offers a Clinical Informatics (CI) Certificate [18]. Each of these certifications covers a broad range of topics such as informatics in general as opposed to specifically imaging informatics. Furthermore, the CIIP is aimed at both medical and nonmedical professionals which can hold one of any of 50 different eligible degrees and certifications. At this time, there is no ACGME-sponsored fellowship in imaging informatics offered to MD or DO applicants. This may discourage MD or DO applicants from pursuing broad clinical certifications where their knowledge base overlaps with 50 other different eligible degree or certificate types and, by necessity, has decreased relevance to their specific careers. Alternatively, future work may show that the CIIP and CI certificates compete with an ACGME-accredited Imaging Informatics Fellowship certificate. Further investigation is warranted regarding whether program directors need bestow individual program certificates to graduating trainees; the next steps should focus on clarifying the need for fellow certification and, if appropriate, certification qualifications.
The need for an updated imaging informatics syllabus is clear. Most program directors adjust their fellowship objectives based on perceived industry standards and trainee interests. Our suggested adaptable curriculum meets this purpose by presenting core sub-topics agreed upon as most relevant to current specifications, which may also increase skillset consistency amongst graduates, while still offering a framework that allows for customization.
Limitations
The observational nature of our study renders it susceptible to biases such as nonresponse bias, which can sometimes lead to misinterpretation. To our knowledge, ten imaging informatics fellowships exist in the USA, four of which did not participate in this survey. While this is similar to comparable survey studies, the total response rate is small. Informal survey of radiology departments with clinical fellowships did not yield additional information on informal informatics fellowships that can be used to increase the response rate. Moreover, this specific cross-sectional type of investigation does not allow for temporal inferences. As the radiology industry evolves and fellowship programs undergo further developments, guidelines and technology would be expected to change and thus call for subsequent updates.
Author Contributions
All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Brianna Vey, Valeria Makeeva, and Roger Gerard. The first draft of the manuscript was written by Roger Gerard, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
Funding
The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.
Declarations
Ethics Approval
This institutional review board-exempt study was performed in a Health Insurance Portability and Accountability Act-compliant manner.
Competing Interests
The authors declare no competing interests.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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