Overview
Frailty predicts surgical outcomes. Scoring it by hand, chart by chart, is why it so rarely gets done.
Frailty on FHIR launches from a patient’s chart in Epic Hyperspace. It reads the problem list, encounter diagnoses, vital signs, and functional-status assessments that are already in the record, computes two validated preoperative frailty indices, and shows the clinician each contributing item with the evidence that triggered it.
It is read-only and stores no clinical data. The two items coded data rarely captures, functional dependence and non-home residence, are pre-filled from whatever evidence exists and then confirmed by the clinician rather than silently defaulted. If the app is unavailable, care proceeds exactly as it would have.
It was built by Brandon Gaston, MD, a vascular surgery resident at Massachusetts General Hospital, alongside research directly comparing frailty scores and their association with outcomes after lower-extremity revascularization.
- Diabetes mellitus
- Hypertension
- Congestive heart failure
- COPD
- Functional dependence
- Diabetes mellitus
- Hypertension
- Coronary artery disease
- Peripheral vascular disease
- + 7 further items
Contact
For pilots, integration questions, documentation requests, or research collaboration. The architecture document, clinical logic and code mappings, Epic onboarding packet, and compliance set are available to Epic customers and reviewers on request.
bgaston@mgh.harvard.edu[SECURITY] and report privately first. Use synthetic test data only; never include real patient data, chart screenshots, or FHIR bundles. Reports are triaged ahead of feature work.