Every Day I Write the Book: Transforming EHR Data from Daily Practice into New Knowledge

Despite producing mountains of data in the daily course of care, the documentation labors of frontline clinicians currently return very little value to them or to the health system. The potential of these painstakingly collected data are enormous and clinical registries can extract the extraordinary capacity of these data and transform them into research-ready datasets while protecting the confidentiality of the patients and clinicians. Clinical registries represent transformative tools for primary care research, bringing together the dimensions of clinical practice, research, quality improvement, and policy impact from a large, nationally reflective, diverse sample of practices and patients. The PRIME Registry is one such clinical registry that extracts electronic health record data from more than 600 primary care practices across the United States that is helping advance research, improve quality, and shape the policies required to achieve high-performing primary care for all. Other examples of primary care registries exist, but most of the painstakingly captured data from frontline care remains fallow. Enabling use of these data are important for research, to prevent harm from mis-trained machine learning algorithms, and for monitoring the health of the public.

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Publication Details

Journal
The Journal of the American Board of Family Medicine
Published
2024-11-01
DOI
https://doi.org/10.3122/jabfm.2024.240008r1
Citations
1
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
0.35

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article

Every Day I Write the Book: Transforming EHR Data from Daily Practice into New Knowledge

Robert L. Phillips, Andrew Bazemore
1 citations
The Journal of the American Board of Family Medicine
Machine Learning in Healthcare
0.35
article

Every Day I Write the Book: Transforming EHR Data from Daily Practice into New Knowledge

Robert L. Phillips, Andrew Bazemore
article en
1 citations

Abstract

Despite producing mountains of data in the daily course of care, the documentation labors of frontline clinicians currently return very little value to them or to the health system. The potential of these painstakingly collected data are enormous and clinical registries can extract the extraordinary capacity of these data and transform them into research-ready datasets while protecting the confidentiality of the patients and clinicians. Clinical registries represent transformative tools for primary care research, bringing together the dimensions of clinical practice, research, quality improvement, and policy impact from a large, nationally reflective, diverse sample of practices and patients. The PRIME Registry is one such clinical registry that extracts electronic health record data from more than 600 primary care practices across the United States that is helping advance research, improve quality, and shape the policies required to achieve high-performing primary care for all. Other examples of primary care registries exist, but most of the painstakingly captured data from frontline care remains fallow. Enabling use of these data are important for research, to prevent harm from mis-trained machine learning algorithms, and for monitoring the health of the public.

The Journal of the American Board of Family MedicineVol. 37(Supplement2)
American Board of Internal Medicine (US), American Health Care Association (US)
American Board of Family Medicine, Centers for Disease Control and Prevention, U.S. National Library of Medicine
Decent work and economic growth
Openalex Percentile: Top 30%
Machine Learning in Healthcare
0.35
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Every Day I Write the Book: Transforming EHR Data from Daily Practice into New Knowledge — Robert L. Phillips, Andrew Bazemore · The Journal of the American Board of Family Medicine (2024) | TGRS Research Map | TGRS