Determining patient eligibility for a physical activity referral scheme through EHR data extraction

Authors

Jennifer L. Trilk (ORCID: https://orcid.org/0000-0001-5565-8895)
James Rosemeyer
Lia K. McNulty (ORCID: https://orcid.org/0000-0002-9315-4505)
Meenu Jindal (ORCID: https://orcid.org/0000-0001-9856-5699)
John M. Brooks (ORCID: https://orcid.org/0000-0001-7365-4417)
Mark Stoutenberg (ORCID: https://orcid.org/0000-0001-5206-7627)

Institutions

Prisma Health (US)
University of South Carolina (US)
Durham University (GB)
Philadelphia Department of Public Health (US)
Temple University (US)
University of Delaware (US)

Publication Details

Journal: BMC Medical Informatics and Decision Making
Published: 2025-09-29
DOI: https://doi.org/10.1186/s12911-025-03122-4
Primary Topic: Physical Activity and Health
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Duke Endowment

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article

Determining patient eligibility for a physical activity referral scheme through EHR data extraction

Jennifer L. Trilk, James Rosemeyer, Lia K. McNulty, Meenu Jindal et al.

Sep 29, 2025

BMC Medical Informatics and Decision Making

Physical Activity and Health

article

Determining patient eligibility for a physical activity referral scheme through EHR data extraction

Jennifer L. Trilk, James Rosemeyer, Lia K. McNulty, Meenu Jindal, John M. Brooks, Mark Stoutenberg

September 29, 2025article en

Abstract

No abstract available for this paper.

BMC Medical Informatics and Decision MakingVol. 25(1)

Prisma Health (US), University of South Carolina (US), Durham University (GB), Philadelphia Department of Public Health (US), Temple University (US), University of Delaware (US)

Duke Endowment

Openalex Percentile: Top 66%

Physical Activity and Health

DOI Open Access PDF OpenAlex

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