Scalable Approach to Consumer Wearable Postmarket Surveillance: Development and Validation Study.

ABSTRACT:

Background

With the capability to render prediagnoses, consumer wearables have the potential to affect subsequent diagnoses and the level of care in the health care delivery setting. Despite this, postmarket surveillance of consumer wearables has been hindered by the lack of codified terms in electronic health records (EHRs) to capture wearable use.

Objective

We sought to develop a weak supervision-based approach to demonstrate the feasibility and efficacy of EHR-based postmarket surveillance on consumer wearables that render atrial fibrillation (AF) prediagnoses.

Methods

We applied data programming, where labeling heuristics are expressed as code-based labeling functions, to detect incidents of AF prediagnoses. A labeler model was then derived from the predictions of

SUBMITTER: Yoo RM 

PROVIDER: S-EPMC11024395 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature