Gerontologizing the Learning Health System – The Electronic Frailty Index as a Passive Digital Marker for Frailty
Kathryn Callahan

TL;DR
This paper introduces the electronic Frailty Index (eFI) as a digital tool to assess frailty in older adults using routine health data, showing its effectiveness in predicting health outcomes.
Contribution
The paper presents the implementation and validation of an eFI in a U.S. health system, extending prior work to a new clinical context.
Findings
eFI scores are consistently linked to adverse health outcomes in older adults across multiple healthcare domains.
Frail older adults have significantly higher risks of mortality, readmissions, and hospitalizations compared to fit individuals.
eFI is being used to test care pathways aimed at improving quality of life and health outcomes for frail patients.
Abstract
Whether defined as a phenotype (Fried et al.) or through a frailty index (Rockwood et al., age-associated deficit accumulation), frailty metrics capture a unique description of an individual’s, or population’s, health in aging. Frailty has been slow to implement in healthcare systems, likely due to burdensome assessments. Building upon the Rockwood frailty index and the Clegg et al. electronic health record (EHR) based frailty index (eFI) in England, our team developed and implemented an eFI within the Wake Forest University School of Medicine (WFUSM) EHR, derived from personalized data collected during routine clinical care. Consistent with established methods, we compiled 54 age-associated deficits. eFI scores are reported as a simple proportion, with cut-points denoted as “Fit” (eFI≤0.10), “Pre-Frail” (0.100.21). Across 22+ published articles in multiple healthcare domains, eFI…
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Taxonomy
TopicsFrailty in Older Adults · Chronic Disease Management Strategies · Nutrition and Health in Aging
