ArticleJMIR medical informatics2016
Understanding the Impact of Electronic Medical Record Use on Practice-Based Population Health Management: A Mixed-Method Study.
Article in JMIR medical informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Population health management within the primary care context - scoping review.The European journal of general practice · 2026Article
- Advancing Family Medicine Through Dyadic Electronic Medical Record Linkage in Dementia Care.Annals of family medicine · 2026Article
- Facilitators and barriers for implementing screening brief intervention and referral for health promotion in a rural hospital in Alberta: using consolidated framework for implementation research.BMC health services research · 2024Article
- Who needs clinician attention first? A qualitative study of critical care clinicians' needs that enable the prioritization of care for populations of acutely ill patients.International journal of medical informatics · 2023Article
- Evaluation of Digital Health Strategy to Support Clinician-Led Critically Ill Patient Population Management: A Randomized Crossover Study.Critical care explorations · 2023Article
- Article
- Electronic Health Records-Based Cardio-Oncology Registry for Care Gap Identification and Pragmatic Research: Procedure and Observational Study.JMIR cardio · 2021Article
- Digital Health Value Realization Through Active Change Efforts.Frontiers in public health · 2021Review
- Embedding "Smart" Disease Coding Within Routine Electronic Medical Record Workflow: Prospective Single-Arm Trial.JMIR medical informatics · 2020Article
- Addressing Diabetes and Poorly Controlled Hypertension: Pragmatic mHealth Self-Management Intervention.Journal of medical Internet research · 2019Article
- An Optimization Program to Help Practices Assess Data Quality and Workflow With Their Electronic Medical Records: Observational Study.JMIR human factors · 2018Article
- Population Health Management for Diabetes: Health Care System-Level Approaches for Improving Quality and Addressing Disparities.Current diabetes reports · 2017Review
- Integrating data from an online diabetes prevention program into an electronic health record and clinical workflow, a design phase usability study.BMC medical informatics and decision making · 2016Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPractice-based population health (PBPH) management is the proactive management of patients by their primary care clinical team. The ability of clinics to engage in PBPH and the means by which they incorporate it in a clinical setting remain unknown.
objectiveWe conducted the Canadian Population Health Management Challenge to determine the capacity and preparedness of primary care settings to engage in PBPH using their existing medical record systems and to understand the complexities that may exist in PBPH implementation.
methodsWe recruited a sample of electronic medical record (EMR) -enabled and paper-based clinics from across Canada to participate in the challenge. The challenge required clinic staff and physicians to complete time-controlled, evidence-based practice reviews of their patients who may benefit from evidence-informed care, treatment, or interventions across five different areas (immunization, postmyocardial infarction care, cancer screening, diabetes management, and medication recall). We formulated a preparedness index to measure the capacity of clinics to engage in PBPH management. Finally, we conducted follow-up qualitative interviews to provide richer understanding of PBPH implementation and related issues (ie, challenges and facilitators).
resultsA total of 11 primary care clinics participated, representing 21 clinician practices. EMR-enabled clinics completed a full review of charts in an average of 1.37 hours. On the contrary, paper-based clinics reviewed nearly 10% of their charts in an average of 3.9 hours, hinting that they would have required an estimated 40 hours to complete a review of charts in their practice. Furthermore, the index revealed a major gap in preparedness between the EMR and paper-based clinics (0.86-3.78 vs 0.05-0.12), as well as a broad range among the EMR clinics. Finally, building on the results of the qualitative analysis, we identified factors facilitating the integration of PBPH.
conclusionsOur results suggest that EMR usage is pivotal in setting the foundation to support PBPH. The wide range of performance variation among EMR-enabled clinics suggests that EMR functionality and optimization, its support of clinical practice workflow, and policy issues to ensure adoption of standards are critical issues to facilitate PBPH.
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