ArticleJournal of the American Medical Informatics Association : JAMIA2017
Electronic health record adoption in US hospitals: the emergence of a digital "advanced use" divide.
Article in Journal of the American Medical Informatics Association : JAMIA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07073898 (Population Health Management Approaches to Increase Lung Cancer Screening in Community Health Centers - UG3 Pilot Clinical Trial), which is not on this map. Cited by 201 papers, 6 of them syntheses that pooled it.
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Population Health Management Approaches to Increase Lung Cancer Screening in Community Health Centers - UG3 Pilot Clinical Trial
Who cites it
201 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- A Systematic Review of Electronic Medical Record Driven Quality Measurement and Feedback Systems.International journal of environmental research and public health · 2022Pooled it
- Recent applications of quantitative systems pharmacology and machine learning models across diseases.Journal of pharmacokinetics and pharmacodynamics · 2022Pooled it
- Interventions to Reduce Pediatric Prescribing Errors in Professional Healthcare Settings: A Systematic Review of the Last Decade.Paediatric drugs · 2021Pooled it
- The Role of Health Technologies in Multicomponent Primary Care Interventions: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Effectiveness of ICT-based intimate partner violence interventions: a systematic review.BMC public health · 2020Pooled it
- Patient Portals Facilitating Engagement With Inpatient Electronic Medical Records: A Systematic Review.Journal of medical Internet research · 2019Pooled it
- Electronic charts do not facilitate the recognition of patient hazards by advanced medical students: A randomized controlled study.PloS one · 2020Trial
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- Foundation for Artificial Intelligence-Driven Democratization of Healthcare Access.Learning health systems · 2026Article
- The digital divide in adoption and advanced use of electronic health records among US hospitals: rural versus urban disparities from 2008 to 2023.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Unique Digital Images as Incentives in Clinical Trials: A Digital Shift Toward Meaningful Participation.Journal of medical Internet research · 2026Article
- Disparities in digital information exchange and interoperability among family medicine physicians in the United States.JAMIA open · 2026Article
- Large Language Models for Clinical Narrative Processing: Methods, Applications, and Challenges.Methods and protocols · 2026Article
- AI-Enabled Customer Relationship Management Platforms for Patient Services in Health Care, Early Lessons From Governance, and Program-Level Outcomes.JMIR medical informatics · 2026Article
- Trends in stroke mortality among individuals with documented substance use: demographic and geographic disparities in U.S. adults, 1999-2023: a comparative cross-sectional study.Annals of medicine and surgery (2012) · 2026Article
- Exnovation: A Concept Analysis.Nursing open · 2026Review
- Deconstructing the Interoperability Stack: A Comparative Technical Analysis of HL7 v2, CDA, and the FHIR Resource Framework.Computational and structural biotechnology journal · 2026Review
141 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveWhile most hospitals have adopted electronic health records (EHRs), we know little about whether hospitals use EHRs in advanced ways that are critical to improving outcomes, and whether hospitals with fewer resources - small, rural, safety-net - are keeping up. MATERIALS AND
methodsUsing 2008-2015 American Hospital Association Information Technology Supplement survey data, we measured "basic" and "comprehensive" EHR adoption among hospitals to provide the latest national numbers. We then used new supplement questions to assess advanced use of EHRs and EHR data for performance measurement and patient engagement functions. To assess a digital "advanced use" divide, we ran logistic regression models to identify hospital characteristics associated with high adoption in each advanced use domain.
resultsWe found that 80.5% of hospitals adopted at least a basic EHR system, a 5.3 percentage point increase from 2014. Only 37.5% of hospitals adopted at least 8 (of 10) EHR data for performance measurement functions, and 41.7% of hospitals adopted at least 8 (of 10) patient engagement functions. Critical access hospitals were less likely to have adopted at least 8 performance measurement functions (odds ratio [OR] = 0.58; P < .001) and at least 8 patient engagement functions (OR = 0.68; P = 0.02). DISCUSSION: While the Health Information Technology for Economic and Clinical Health Act resulted in widespread hospital EHR adoption, use of advanced EHR functions lags and a digital divide appears to be emerging, with critical-access hospitals in particular lagging behind. This is concerning, because EHR-enabled performance measurement and patient engagement are key contributors to improving hospital performance.
conclusionHospital EHR adoption is widespread and many hospitals are using EHRs to support performance measurement and patient engagement. However, this is not happening across all hospitals.
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Registered trials
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.