Guided Logic

Accelerators / Business Challenges

Connected Health

Device data is easy to collect and hard to make clinical. Our accelerator handles the plumbing — ingestion, FHIR interoperability, alerting — so the readings reach a clinician as signal, not noise.

What it is

Remote monitoring programs fail in two familiar ways: drowning clinicians in un-triaged readings until they stop looking, or trapping device data in a vendor app the EHR never sees. Between the blood pressure cuff and the care decision sits a stack of unglamorous engineering — identity, ingestion, normalization, thresholds, escalation, interoperability — that every program needs and no program should have to invent.

The Connected Health accelerator is that stack. Device-agnostic ingestion feeds a normalized observation store; configurable clinical rules decide what deserves attention; FHIR interfaces keep the EHR authoritative. It's built on our Compliance Auditing foundation, so the privacy architecture isn't an afterthought.

What's inside

  • Device ingestion layer — connections for common RPM devices and aggregators, with normalization into a standard observation model.
  • FHIR interoperability — standards-based interfaces for observations, care plans, and patient records, designed to keep the EHR the system of record.
  • Clinical rules and alerting — per-patient thresholds, trend detection, and escalation policies that route to the right role, not to everyone.
  • Clinician review workspace — triage queues, patient timelines, and documentation capture that feeds back to the EHR.
  • Patient engagement — enrollment, reading reminders, symptom check-ins, and messaging, usable by patients who are not technologists.
  • Program analytics — adherence, alert burden, and outcome trends by cohort — the numbers that keep an RPM program funded.

How we adapt it

An architect works with your clinical leadership on the part that matters most — the rules: which readings, which thresholds, which escalations, for which populations. AI does the integration labor across devices and EHR interfaces at machine speed, and every clinical-facing behavior is reviewed with your clinicians before a patient ever generates an alert.