ArticleJournal of the American Medical Informatics Association : JAMIA2016
Is the problem list in the eye of the beholder? An exploration of consistency across physicians.
Article in Journal of the American Medical Informatics Association : JAMIA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 25 citations in OpenAlex.
- The Potential for a Benefit-Estimating Algorithm to Improve Recommendations for Preventive Services: Comparing Algorithm Recommendations with Those of Primary Care Providers.Medical decision making : an international journal of the Society for Medical Decision Making · 2026Article
- Current state of electronic problems lists in primary care: a rapid scoping review.Family practice · 2026Article
- Diagnosis decoded: a taxonomy and natural language processing analysis of the diagnosis section in German hospital discharge summaries.Health care management science · 2025Article
- Differences Between Patient and Clinician-Taken Images: Implications for Virtual Care of Skin Conditions.Mayo Clinic proceedings. Digital health · 2024Article
- Primary care physicians' electronic health record proficiency and efficiency behaviors and time interacting with electronic health records: a quantile regression analysis.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Data gaps in electronic health record (EHR) systems: An audit of problem list completeness during the COVID-19 pandemic.International journal of medical informatics · 2021Article
- Inferring a consensus problem list using penalized multistage models for ordered data.The annals of applied statistics · 2020Article
- A deep learning system for differential diagnosis of skin diseases.Nature medicine · 2020Article
- Electronic Health Records in Ophthalmology: Source and Method of Documentation.American journal of ophthalmology · 2020Article
- Recording problems and diagnoses in clinical care: developing guidance for healthcare professionals and system designers.BMJ health & care informatics · 2019Article
- Two algorithms for the reorganisation of the problem list by organ system.BMJ health & care informatics · 2019Article
- Characterizing the Utilization of the Problem List for Pediatric Trauma Care.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
- Clinical Informatics Researcher's Desiderata for the Data Content of the Next Generation Electronic Health Record.Applied clinical informatics · 2017Article
- Rapid Development of Specialty Population Registries and Quality Measures from Electronic Health Record Data*. An Agile Framework.Methods of information in medicine · 2017Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveQuantify the variability of patients' problem lists - in terms of the number, type, and ordering of problems - across multiple physicians and assess physicians' criteria for organizing and ranking diagnoses. MATERIALS AND
methodsIn an experimental setting, 32 primary care physicians generated and ordered problem lists for three identical complex internal medicine cases expressed as detailed 2- to 4-page abstracts and subsequently expressed their criteria for ordering items in the list. We studied variability in problem list length. We modified a previously validated rank-based similarity measure, with range of zero to one, to quantify agreement between pairs of lists and calculate a single consensus problem list that maximizes agreement with each physician. Physicians' reasoning for the ordering of the problem lists was recorded.
resultsSubjects' problem lists were highly variable. The median problem list length was 8 (range: 3-14) for Case A, 10 (range: 4-20) for Case B, and 7 (range: 3-13) for Case C. The median indices of agreement - taking into account the length, content, and order of lists - over all possible physician pairings was 0.479, 0.371, 0.509, for Cases A, B, and C, respectively. The median agreements between the physicians' lists and the consensus list for each case were 0.683, 0.581, and 0.697 (for Cases A, B, and C, respectively).Out of a possible 1488 pairings, 2 lists were identical. Physicians most frequently ranked problem list items based on their acuity and immediate threat to health.
conclusionsThe problem list is a physician's mental model of a patient's health status. These mental models were found to vary significantly between physicians, raising questions about whether problem lists created by individual physicians can serve their intended purpose to improve care coordination.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.