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Perspective: Leveraging Electronic Health Record Data Within Food Is Medicine Program Evaluation: Considerations and
Christopher R Long1, Amy L Yaroch1, Carmen Byker Shanks1
1Gretchen Swanson Center for Nutrition, Omaha, NE, USA.
Food is Medicine (FIM) programs aim for health care reimbursement, but data collection is challenging. Electronic health records (EHRs) offer potential but present difficulties for FIM evaluation.
Area of Science:
- Public Health
- Health Services Research
- Nutrition Science
Background:
- Growing interest in Food is Medicine (FIM) programs for health care reimbursement.
- FIM researchers need to demonstrate cost-effectiveness through improved health outcomes and reduced health care utilization.
- Primary data collection for FIM evaluation is resource-intensive and burdensome.
Purpose of the Study:
- To identify challenges and opportunities in using Electronic Health Records (EHRs) for FIM program evaluation.
- To discuss alternative data sources for assessing long-term FIM outcomes.
- To inform best practices for FIM evaluation within large health systems.
Main Methods:
- Analysis of recurring challenges in leveraging EHR data for FIM evaluation, focusing on biomarkers and health care utilization.
- Review of experiences from over 100 Gus Schumacher Nutrition Incentive Program Produce Prescription FIM projects.
- Discussion of potential and limitations of EHR data for FIM research.
Main Results:
- EHRs present significant, often insurmountable, difficulties for FIM studies despite their potential for existing data.
- Specific challenges exist in using EHRs to track biomarkers and health care utilization for FIM program impact.
- Large integrated health systems are uniquely positioned to utilize their own EHR data for FIM outcome assessment.
Conclusions:
- While EHRs offer a promising avenue, practical challenges hinder their widespread use in FIM evaluation.
- A combination of EHR data and other sources is likely necessary for comprehensive FIM outcome assessment.
- Strategic use of EHRs within integrated health systems may provide valuable insights into FIM program effectiveness.
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