Applied Clinical Informatics最新文献

{"title":"Interventions to mitigate EHR and documentation burden in health professions trainees: A scoping review.","authors":"Deborah R Levy, Sarah Collins Rossetti, Cynthia Brandt, Edward R Melnick, Andrew Hamilton, Seppo Rinne, Dana Womack, Vishnu Mohan","doi":"10.1055/a-2434-5177","DOIUrl":"10.1055/a-2434-5177","url":null,"abstract":"<p><strong>Background: </strong>Health professions trainees (trainees) are unique as they learn a chosen field while working within electronic health records (EHR). Efforts to mitigate EHR burden have been described for the experienced health professional (HP), but less is understood for trainees. EHR or documentation burden (EHR burden) affects trainees, although not all trainees use EHRs, and use may differ for experienced HPs.</p><p><strong>Objectives: </strong>To develop a model of how interventions to mitigate EHR burden fit within the trainee EHR workflow: the Trainee EHR Burden Model. 1) Examine trainee experiences of interventions aimed at mitigating EHR burden(scoping review). 2) Adapt an existing workflow model by mapping included studies(concept clarification).</p><p><strong>Methods: </strong>We conducted a 4-database scoping review applying PRISMA-ScR guidance, examining scholarly, peer-reviewed studies that measured trainee experience of interventions to mitigate EHR burden. We conducted a concept clarification categorizing, then mapping studies to workflow model elements. We adapted the model to intervenable points for trainee EHR burden.</p><p><strong>Results: </strong>We identified 11 studies examining interventions to mitigate EHR burden that measured trainee experience. Interventions included: curriculum, training, coaching on the existing EHR for both simulated or live tasks; evaluating scribes' impact; adding devices or technology tailored to rounds; team communication or data presentation at end-of shift handoffs. Interventions had varying effects on EHR burden, most commonly measured through surveys, and less commonly, direct observation. Most studies had limited sample sizes, focused on inpatient settings, and physician trainees.</p><p><strong>Conclusion: </strong>Few studies measured trainee perspectives of interventions aiming to mitigate EHR burden. Many studies applied quasi-experimental designs and focused on inpatient settings. The Trainee EHR Burden Model, adapted from an existing workflow model, offers a starting place to situate points of intervention in trainee workflow. Further research is needed to design new interventions targeting stages of HP trainee workflow, in a range of clinical settings.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142376197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ethical dimensions of clinical data sharing by US healthcare organizations for purposes beyond direct patient care: Interviews with healthcare leaders.","authors":"Brian R Jackson, Bonnie Kaplan, Richard Schreiber, Paul R DeMuro, Victoria Nichols-Johnson, Larry Ozeran, Anthony Solomonides, Ross Koppel","doi":"10.1055/a-2432-0329","DOIUrl":"https://doi.org/10.1055/a-2432-0329","url":null,"abstract":"<p><strong>Objectives: </strong>Empirically investigate current practices and analyze ethical dimensions of clinical data sharing by healthcare organizations for uses other than treatment, payment, and operations. Make recommendations to inform research and policy for healthcare organizations to protect patients' privacy and autonomy when sharing data with unrelated third parties.</p><p><strong>Methods: </strong>Semi-structured interviews and surveys involving 24 informatics leaders from 22 US healthcare organizations, accompanied by thematic and ethical analyses.</p><p><strong>Results: </strong>We found considerable heterogeneity across organizations in policies and practices. Respondents understood \"data sharing\" and \"research\" in very different ways. Their interpretations of these terms ranged from making data available for academic and public health uses, and to HIEs; to selling data for corporate research, to contracting with aggregators for future resale or use. The nine interview themes were that healthcare organizations: (1) share clinical data with many types of organizations, (2) have a variety of motivations for sharing data, (3) do not make data sharing policies readily available, (4) have widely varying data sharing approval processes, (5) most commonly rely on HIPAA de-identification to protect privacy, (6) were concerned about clinical data use by electronic health record vendors, (7) lacked data sharing transparency to the general public, (8) allowed individual patients little control over sharing of their data, and (9) had not yet changed data sharing practices within the year following the US Supreme Court 2022 decision denying rights to abortion.</p><p><strong>Conclusions: </strong>Our analysis identified gaps between ethical principles and healthcare organizations' data sharing policies and practices. To better align clinical data sharing practices with patient expectations and biomedical ethical principles, we recommend: updating HIPAA, including re-identification and upstream sharing restrictions in data sharing contracts, better coordination across data sharing approval processes, fuller transparency and opt-out options for patients, and accountability for data sharing and consequent harms.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142373319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Special Issue on Informatics Education A Longitudinal Graduate Medical Education Curriculum in Clinical Informatics: Function, Structure, and Evaluation.","authors":"Bradley Rowland, Jacqueline Guan-Ting You, Sarah Stern, Richa Bundy, Adam Moses, Lauren Witek, Corey Obermiller, Gary E Rosenthal, Ajay Dharod","doi":"10.1055/a-2432-0054","DOIUrl":"https://doi.org/10.1055/a-2432-0054","url":null,"abstract":"<p><strong>Background: </strong>There is a need to integrate informatics education into medical training programs given the rise in demand for health informaticians and the call on the Accreditation Council for Graduate Medical Education (ACGME) and the body of undergraduate medical education (UGME) for implementation of informatics curricula.</p><p><strong>Objectives: </strong>This report outlines a 2-year longitudinal informatics curriculum now currently in its seventh year of implementation. This report is intended to inform United States (US) Graduate Medical Education (GME) program leaders of the necessary requirements for implementation of a similar program at their institution.</p><p><strong>Methods: </strong>The curriculum aligns with the core content for the subspecialty of clinical informatics (CI) and is led by a multidisciplinary team with both informatics and clinical expertise. This educational pathway has a low direct cost and is a practical example of the academic learning health system (aLHS) in action. The pathway is housed within an internal medicine department at a large tertiary academic medical center.</p><p><strong>Results: </strong>The curriculum has yielded 13 graduates from both internal medicine (11, 85%) and pediatrics (2, 15%) whose projects have spanned acute and ambulatory care and multiple specialties. Projects have included Clinical Decision Support (CDS) tools, of which some will be leveraged as substrate in applications seeking extramural funding. Graduates have gone on to CI board certification and fellowship, as well as several other specialties, creating a distributed network of clinicians with specialized experience in applied CI.</p><p><strong>Conclusions: </strong>An informatics curriculum at the GME level may increase matriculation to CI fellowship and more broadly increase development of the CI workforce through building a cadre of physicians with HIT expertise across specialties without formal CI board certification. We offer an example of a longitudinal pathway which is rooted in aLHS principles. The pathway requires a dedicated multidisciplinary team and departmental and IT leadership support.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142373333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A human-centered approach for designing a social care referral platform.","authors":"David Haynes, Pengxu Cheng, Megan Weaver, Helen Parsons, Pinar Karaca Mandic","doi":"10.1055/a-2425-8731","DOIUrl":"https://doi.org/10.1055/a-2425-8731","url":null,"abstract":"<p><p>Health Information Technology (HIT) is increasingly being used to help providers connect patients with community resources to meet health related social needs (e.g., food, housing, transportation). Research is needed to design efficient, simple, and engaging interfaces during a sensitive process that involves multiple stakeholders. Research is also needed to understand the roles, expectations, barriers, and facilitators these different stakeholders (i.e., patients, providers, and Community-based Organizations (CBOs) face during this process. We applied the Human-Centered Design approach to develop a multi-interface social care referral platform. This approach allowed us to understand the needs of each stakeholder and address potential workflow concerns. This paper reports on the research team's understanding of the design process from 48 different user tests. We conducted three rounds of user testing on an interactive prototype(s) and adapted the prototype after each round. Our results summarize a number of key findings useful for patients, clinical teams, and staff of CBOs when designing a social care referral platform. Our user testing highlighted that patient-facing interfaces offer tremendous opportunities to allow patients to be the leader of the social care referral process. CBOs have varying needs that must be addressed, and providing CBO staff with opportunities to connect with patients is critical. Finally, healthcare teams have more structured workflows. Integration within the electronic health record system provides opportunities for healthcare staff to support their patients more easily given these barriers.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142373318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Communication Challenges Experienced by Clinicians and Patients During Teleconsultation. Scoping Review.","authors":"Takashi Sota, Tim Jackson, Eleanor Yang, Annie Ys Lau","doi":"10.1055/a-2425-8626","DOIUrl":"https://doi.org/10.1055/a-2425-8626","url":null,"abstract":"<p><p>Background As teleconsultations continue to rise in popularity due to their convenience and accessibility, it's crucial to identify and address the challenges they present in order to improve the patient experience, enhance outcomes, and ensure the quality of care. To identify communication challenges that clinicians and patients experience during teleconsultation, a scoping review was conducted. Methods Studies were obtained from four databases (Ovid [MEDLINE], Ovid [Embase], CINAHL and Scopus). Gray literatures were not included. Studies focused on communication challenges between clinicians and their patients during teleconsultation in the context of COVID-19 and published from January 2000 to December 2022 were collected. Screening process was conducted by 2 independent reviewers. Data extraction was performed using a standardized form to capture study characteristics and communication challenges. Extracted data were analyzed to identify the communication challenges during teleconsultation, adherent to PRISMA-ScR. Results A total of 893 studies were collected from 4 databases and 26 studies were selected based on inclusion/exclusion criteria. Of these 26 eligible studies, 12 (46%) were from the US, 3 studies (12%) were from Australia, 2 (8%) were from the UK and Canada. These studies included 12 (46%) qualitative studies, 6 (23%) quantitative studies, 6 (23%) review articles, and 2 (8%) case reports. Eight factors contributing to communication challenges between clinicians and patients during teleconsultations were identified: technical issues, difficulties in developing rapport, lack of non-verbal communication, lack of physical examination, language barrier, spatial issues, clinician preparation, and difficulties in assessing patients' health literacy. Conclusion Eight factors were identified contributing to communication challenges during teleconsultation in the context of COVID-19. These findings highlight the need for addressing communication challenges to ensure effective teleconsultations. With the rise of teleconsultation in routine healthcare delivery, further research is warranted to confirm these findings, and to explore ways to overcome communication challenges during teleconsultation.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142330581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and validation of the Nursing Information Security Questionnaire.","authors":"Xiaoyun Zhou, Tingting Gao, Xiujuan Jing, Hong Liu, Xuebing Jing","doi":"10.1055/a-2424-2103","DOIUrl":"https://doi.org/10.1055/a-2424-2103","url":null,"abstract":"<p><p>Background Ensuring the security of nursing information holds substantial importance. The awareness of information security among nurses in China is generally inadequate, and there is a lack of standardized evaluation tools for nurse information security in nursing practice. The nursing sector necessitates the establishment of a robust culture surrounding information security. Objective The aim of this study was to construct a self-reporting instrument for evaluating nursing information security. Methods The research team utilized literature analysis and group discussions to draft the item pool. After two rounds of Delphi consultation by 15 experts and pilot testing, the initial questionnaire was formed. Item analysis was carried out on the questionnaire, and the validity and reliability of the instrument were statistically tested by computing the Keiser-Meier-Olkin (KMO) and Bartlett tests, an exploratory factor analysis, a confirmatory factor analysis, convergent and discriminative validity, descriptive statistics, Cronbach's α and test-retest reliability. Results A total of 501 nurses participated in the study, supplemented by the inclusion of five experts who were invited to contribute to the assessment of content validity. Four factors were formed using exploratory factor analysis (n=250), and the cumulative variance contribution rate was found to be 60.10%. The confirmatory factor analysis (n=251) showed the model fit was good. The overall Cronbach's α coefficient of the questionnaire was 0.948, and the test-retest reliability was 0.837. Conclusion Finally, the NIS-Q with 38 items and three dimensions of knowledge, attitude and practice were formed. A promising assessment instrument for gauging the degree of nursing information security was introduced. Further, a foundational platform was established for implementing specific enhancement strategies aimed at advancing nursing information security.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142330582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Epidemiology of Patient Record Duplication.","authors":"Onur Sahin, Audrey Zhao, Reuben Applegate, Todd Johnson, Elmer V Bernstam","doi":"10.1055/a-2423-8499","DOIUrl":"https://doi.org/10.1055/a-2423-8499","url":null,"abstract":"<p><strong>Objective: </strong>Duplicate patient records can increase cost and medical errors. We assessed the association between demographic factors, comorbidities, healthcare usage and duplicate electronic health records.</p><p><strong>Materials and methods: </strong>We analyzed the association between duplicate patient records and multiple demographic variables (race, Hispanic ethnicity, sex and age) as well as Charlson comorbidity index (CCI), number of diagnoses, and number of healthcare encounters. The study population included 3,018,413 patients seen at a large urban academic medical center with at least one recorded diagnosis. Duplication of patient medical records was determined by using a previously validated enterprise Master Person Index.</p><p><strong>Results: </strong>Unknown or missing demographic data, Black race when compared to White Race (OR 1.35, p < 0.001), Hispanic compared to non-Hispanic ethnicity (OR 1.48, p < 0.001), older age (OR 1.01, p < 0.001), and \"Other\" sex compared to female sex (OR 4.71, p < 0.001) were associated with higher odds of having a duplicate record. Comorbidities (CCI, OR 1.10, p < 0.001) and more encounters with the health care system (OR 1.01, p < 0.001) were also associated with higher odds of having a duplicate record. In contrast, male sex compared to female sex was associated with lower odds of having a duplicate record (OR 0.88, p < 0.001).</p><p><strong>Discussion: </strong>The odds of duplications in medical records were higher in Black, Hispanic, older, non-male patients with more healthcare encounters, more comorbidities, and unknown demographic data. Understanding the epidemiology of duplicate records can help guide prevention and mitigation efforts for high-risk populations.</p><p><strong>Conclusion: </strong>Duplicate records can contribute to disparities in health care outcomes in minority populations.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142330583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Comprehensive Multi-Functional Approach for Measuring Parkinson's Disease Severity.","authors":"Morteza Rahimi, Zeina Al Masry, John Michael Templeton, Sandra Schneider, Christian Poellabauer","doi":"10.1055/a-2420-0413","DOIUrl":"https://doi.org/10.1055/a-2420-0413","url":null,"abstract":"<p><strong>Objectives: </strong>This research study aims to advance the staging of Parkinson's disease (PD) by incorporating machine learning to assess and include a broader multi-functional spectrum of neurocognitive symptoms in the staging schemes beyond motor-centric assessments. Specifically, we provide a novel framework to modernize and personalize PD staging more objectively by proposing a hybrid feature scoring approach.</p><p><strong>Methods: </strong>We recruited thirty-seven individuals diagnosed with PD, each of whom completed a series of tablet-based neurocognitive tests assessing motor, memory, speech, executive functions, and tasks ranging in complexity from single to multi-functional. Then, the collected data was used to develop a hybrid feature scoring system to calculate a weighted vector for each function. We evaluated current PD staging schemes and developed a new approach based on the features selected and extracted using Random Forest and Principal Component Analysis.</p><p><strong>Results: </strong>Our findings indicate a substantial bias in current PD staging systems toward fine-motor skills, i.e., other neurological functions (memory, speech, executive function, etc.) do not map into current PD stages as well as fine-motor skills do. The results demonstrate that a more accurate and personalized assessment of PD severity could be achieved by including a more exhaustive range of neurocognitive functions in the staging systems either by involving multiple functions in a unified staging score or by designing a function-specific staging system.</p><p><strong>Conclusions: </strong>The proposed hybrid feature score approach provides a comprehensive understanding of PD by highlighting the need for a staging system that covers various neurocognitive functions. This approach could potentially lead to more effective, objective, and personalized treatment strategies. Further, this proposed methodology could be adapted to other neurodegenerative conditions such as Alzheimer's disease or ALS.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142308859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Patient–Clinician Diagnostic Concordance upon Hospital Admission","authors":"Alyssa Lam, Savanna Plombon, Alison Garber, Pamela Garabedian, Ronen Rozenblum, Jacqueline A. Griffin, Jeffrey L. Schnipper, Stuart R. Lipsitz, David W. Bates, Anuj K. Dalal","doi":"10.1055/s-0044-1788330","DOIUrl":"https://doi.org/10.1055/s-0044-1788330","url":null,"abstract":"<p>\u0000<b>Objectives</b> This study aimed to pilot an application-based patient diagnostic questionnaire (PDQ) and assess the concordance of the admission diagnosis reported by the patient and entered by the clinician.</p> <p>\u0000<b>Methods</b> Eligible patients completed the PDQ assessing patients' understanding of and confidence in the diagnosis 24 hours into hospitalization either independently or with assistance. Demographic data, the hospital principal problem upon admission, and International Classification of Diseases 10th Revision (ICD-10) codes were retrieved from the electronic health record (EHR). Two physicians independently rated concordance between patient-reported diagnosis and clinician-entered principal problem as full, partial, or no. Discrepancies were resolved by consensus. Descriptive statistics were used to report demographics for concordant (full) and nonconcordant (partial or no) outcome groups. Multivariable logistic regressions of PDQ questions and a priori selected EHR data as independent variables were conducted to predict nonconcordance.</p> <p>\u0000<b>Results</b> A total of 157 (77.7%) questionnaires were completed by 202 participants; 77 (49.0%), 46 (29.3%), and 34 (21.7%) were rated fully concordant, partially concordant, and not concordant, respectively. Cohen's kappa for agreement on preconsensus ratings by independent reviewers was 0.81 (0.74, 0.88). In multivariable analyses, patient-reported lack of confidence and undifferentiated symptoms (ICD-10 “R-code”) for the principal problem were significantly associated with nonconcordance (partial or no concordance ratings) after adjusting for other PDQ questions (3.43 [1.30, 10.39], <i>p</i> = 0.02) and in a model using selected variables (4.02 [1.80, 9.55], <i>p</i> < 0.01), respectively.</p> <p>\u0000<b>Conclusion</b> About one-half of patient-reported diagnoses were concordant with the clinician-entered diagnosis on admission. An ICD-10 “R-code” entered as the principal problem and patient-reported lack of confidence may predict patient–clinician nonconcordance early during hospitalization via this approach.</p> ","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142265943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Imaging Informatics Education in Clinical Informatics Programs: Perspective from Imaging and Clinical Informatics Professionals","authors":"Nathan A. Bumbarger, Alexander J. Towbin, Pamela Garcia-Filion, James Whitfill, Tessa Cook, Les R. Folio","doi":"10.1055/s-0044-1788327","DOIUrl":"https://doi.org/10.1055/s-0044-1788327","url":null,"abstract":"<p>\u0000<b>Background</b> Imaging and Clinical Informatics are domains of biomedical informatics. Imaging Informatics topics are often not covered in depth in most Clinical Informatics fellowships. While dedicated Imaging Informatics fellowships exist, they may not have the same rigor as ACGME (Accreditation Council for Graduate Medical Education) accredited Clinical Informatics fellowships and they do not provide a direct path toward subspecialty board certification.</p> <p>\u0000<b>Objectives</b> We compared published curricula and test content between Clinical and Imaging Informatics fellowship programs. We then highlighted differences between training programs and identified overlapping topics and opportunities for additional education for each type of trainee.</p> <p>\u0000<b>Methods</b> Published consensus curricula and topics were extracted for each specialty. Two informaticists compared topics as shared or not shared between specialties. Next, test content outlines were compared for each specialty exam, extracted, and classified as shared or not shared content. A Venn diagram was created to highlight areas unique to each specialty as well as areas of overlap.</p> <p>\u0000<b>Results</b> There were 139 Clinical Informatics topics compared with 97 Imaging Informatics topics. Of the 139 Clinical Informatics topics, 115 (83%) were covered in the Imaging Informatics curriculum. Of the 97 Imaging Informatics topics, 74 (76%) were covered in the Clinical Informatics curriculum. When using test content outline data, 170 out of 397 (43%) Imaging Informatics topics matched to 64 out of 139 (46%) Clinical Informatics topics. We describe examples of overlapping topics and those unique to each program to identify potential areas to expand.</p> <p>\u0000<b>Conclusion</b> Imaging Informatics and Clinical Informatics fellowship programs have some overlap with areas unique to each. Our review may help guide those seeking informatics education and potential certification. As enterprise imaging evolves, these differences may become more important and create knowledge gaps, if not systematically evaluated.</p> ","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142265804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}