Infrastructure for Remote Patient Monitoring & Triage

Remote patient monitoring requires documented, findable clinical protocols defining what vital sign thresholds or symptom patterns constitute an actionable alert for heart failure, COPD, or post-surgical patients. These escalation criteria must be explicit and current—not in a care manager's head—so the AI autonomously applies consistent triage logic. CMS chronic care management billing requirements and disease-specific management guidelines provide the formal documentation baseline.

Remote monitoring generates continuous data streams from home devices—weight scales, pulse oximeters, blood pressure cuffs, wearables—that must be automatically captured as they transmit. Patient-reported symptoms via app also require automated ingestion with timestamps and structured metadata. This cannot be manual or template-dependent; the predictive value of this system depends on complete, timestamped device data streams flowing automatically from home to the analytics platform without patient or clinician action.

Remote monitoring data from heterogeneous devices (different wearable vendors, app platforms) must conform to consistent schema—vital sign type, value, units, timestamp, device ID, patient ID—for the AI to compute risk scores across patients. FHIR Observation resources provide the structural standard for device-generated data. Without consistent schema, the AI cannot aggregate a patient's 2-week weight trend because readings from different devices use incompatible units and formats.

The remote monitoring platform must query the EHR for historical hospitalization patterns, current medications, and baseline vitals to contextualize home device readings. It must also push alerts to care team workflows when thresholds are crossed, and trigger patient-facing outreach through the app. API access to EHR and care team communication systems enables this bidirectional flow—without it, care managers receive raw device data without clinical context.

Disease management protocols and CMS chronic care management requirements update periodically. Device firmware updates change transmission formats. Formulary changes alter medication regimens that the AI uses as contextual inputs. Event-triggered updates when these change ensure the remote monitoring system applies current escalation criteria and processes device data in current formats—preventing alert logic based on outdated clinical thresholds.

Remote patient monitoring requires API-based integration connecting home monitoring devices, the patient-facing app, EHR, care team alert platform, and scheduling systems. When the AI identifies an exacerbation risk, it must simultaneously alert the care team, trigger a patient outreach call, and potentially schedule a telehealth visit—requiring multi-system API connections rather than point-to-point links between just two systems.