Evidence map›Paper›PMID 41144321›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2026

Health interoperability across phenotypes of family physician practices.

Jordan Everson, Catherine Strawley

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Jordan EversonAssistant Secretary for Technology Policy and Office of the National Coordinator for Health Information Technology, US Department of Health and Human Services, Washington, DC 20201, United States.ORCID 0000-0001-5355-6043
Catherine StrawleyAssistant Secretary for Technology Policy and Office of the National Coordinator for Health Information Technology, US Department of Health and Human Services, Washington, DC 20201, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo inform initiatives to improve the interoperability of healthcare data, we described the experience of distinct phenotypes of physicians when obtaining information from outside sources. MATERIALS AND

methodsA total of 6175 family physicians across the United States responded to information technology questions on the 2022 and 2023 American Board of Family Medicine Continuous Certification Questionnaire (100% response rate). Latent class analysis grouped physicians by individual and practice characteristics and then compared reported experience with interoperability.

resultsA 4-class model ("Safety Net," "Health System," "Independent Practice," and "Large Practice") best fit. Health system and large practice physicians (predominately Epic users) were more likely to report information was integrated in their Electronic Health Record (EHR) than independent practice physicians (38% and 40%, respectively, compared to 24%), and to report that information from organizations using the same EHR was usable (52% and 51%, respectively, compared to 25%). Safety net physicians were least likely to report that information from outside organizations was usable (17% compared to 23% of independent physicians). Between 42% and 50% of each phenotype reported commonly encountering external records with a large volume of low-value information. DISCUSSION: Independent practice and safety net physicians reported worse experience in some dimensions of interoperability, likely driven by differences in access to information from organizations using the same EHR. Many other challenges were consistent across physician phenotypes.

conclusionInitiatives to improve interoperability among physicians may be most effective if targeted at independent practices and safety net practices; however, broad improvements will be necessary to address similar challenges across phenotypes.

Indexed as

Electronic Health RecordsFamily PracticeHealth Information InteroperabilityPhysicians, FamilyAdultFemaleHumansMaleMiddle AgedPhenotypeSurveys and QuestionnairesUnited Statesfamily medicinehealth information exchangeinteroperabilitylatent class analysisphysicians

Identifiers

PMID41144321
PMCPMC12844596

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Registered trials

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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.