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CASE STUDY / Healthtech / Mar 2, 2026

Remote vitals, watched around the clock

A remote patient monitoring platform that turns device readings into screens a care team can triage at a glance.

Vertical
Healthtech
Stack
Next.js · TypeScript · PostgreSQL · Device APIs

Device readings became a triage queue a nurse can clear before her first coffee — instead of a spreadsheet nobody opened until Friday.

Context

VytalWatch offers remote patient monitoring: blood pressure cuffs, pulse oximeters, and scales that report from patients' homes. The clinical value is obvious. The operational problem is volume — readings arrive around the clock, and most of them are fine.

The problem

Raw device feeds are noise with occasional signal. Care teams were scanning exports to find the handful of patients who actually needed a call. Alert fatigue ran in both directions: too many false alarms, and real deterioration buried under them.

What Haven built

  • A monitoring dashboard that groups patients by attention needed, not alphabetically
  • Configurable alert thresholds per patient and per program, set by clinicians rather than hardcoded
  • An audit log on every reading, threshold change, and acknowledgment
  • HIPAA-aware architecture throughout: role-based access, encryption at rest and in transit, and vendor BAAs documented for compliance review
  • A care-plan view so a phone call starts with context, not with scrolling

Results

Care teams now work a prioritized queue instead of a raw feed, and threshold changes are a settings screen instead of a developer ticket. The compliance documentation shipped with the software, not after it.

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