Case Study: a mid-sized digital health company achieves faster chronic care prioritization with Empeek

Mid-sized digital health company cuts high-priority patient review time from 15–20 minutes to under 2 minutes with Empeek

A mid-sized digital health company faced significant challenges with its remote patient monitoring system, including severe alert fatigue and an inability to clinically prioritize 80-120 chronic patients per clinician. Their manual review process was inefficient, often leading to late detection of patient deterioration. Empeek was engaged to build an intelligent RPM platform that could automatically surface clinical risk without increasing review time.

Empeek implemented a solution featuring a multi-signal correlation engine, patient-specific threshold rules, and a structured incident workflow. This approach replaced generic alerts, distinguished device issues from clinical events, and automated patient triage. The results were substantial: time to identify high-priority patients dropped from 15-20 minutes to under 2 minutes, false alerts decreased from 65% to 12%, and clinicians could effectively review 50-100 patients per session without manual prioritization.