A handover problem disguised as a device problem
Remote monitoring generates data. But data without governance is noise. Virtual wards and remote monitoring create handover problems: who owns the alert, who escalates, who closes the loop. The Seven Flows make it safe.
A device generates an alert. The patient is on a virtual ward. The GP is clinically responsible. The monitoring service sees the data. Who acts? Without explicit responsibility, alerts go unacknowledged.
Patient deteriorates at 2am. Data shows it. But what's the escalation path? 111? A&E? Community response team? The device knows something is wrong. The system doesn't know what to do.
Monitoring data collected by the acute trust. Patient now at home. Community team needs to see it. Social care might need access. Was consent given for this? Is sharing lawful?
Alert was sent. Someone acted. But did the outcome feed back? Did the referring team learn what happened? Without closed loops, same failures repeat.
Each flow addresses a specific governance failure in remote monitoring. Together, they create the substrate for safe, scalable virtual wards.
Ensure data from the device belongs to the right patient. Identity verified across the monitoring pathway, not assumed from device registration.
Explicit consent for monitoring data to flow to community teams, GPs, acute services. Evaluated at each handover, not assumed from initial setup.
Know where monitoring data came from, what device generated it, how it was validated. Clinical decisions based on data of known quality.
Thresholds are clinically defined, not device defaults. The reason for monitoring is explicit. Receiving teams understand the clinical context.
When an alert fires, responsibility is explicit. Someone is named, reachable, and accountable. Acknowledgement is required, not assumed.
Alerts route to the right service based on clinical context. Escalation paths are defined, tested, auditable. Patients reach appropriate care.
What happened after the alert? Outcomes documented, feedback loops closed, learning captured. Virtual ward impact becomes measurable.
SteadyTrace is our remote monitoring platform built on the Seven Flows. Device agnostic, clinically governed, designed for neighbourhood health.
Apple Watch, Fitbit, Withings, CGMs, clinical-grade RPM devices - single integration, unified governance.
Physiological plausibility checks, data quality scoring, device fingerprinting. Data validated before it reaches clinical teams.
Clinician-defined protocols, not device defaults. Thresholds linked to clinical intent. Context preserved.
Alerts route with responsibility assignment. Acknowledgement required. Escalation paths auditable.
Episodes close with documented outcomes. Feedback loops inform system learning.
UK Core FHIR R4, SNOMED CT, DCB 0129/0160 alignment. No proprietary lock-in.
Patients monitored at home instead of hospital beds. Alerts escalate to the right team. Responsibility transfers are explicit. Outcomes documented for system learning.
Continuous monitoring with clinically meaningful thresholds. Deterioration detected early. Escalation reaches the right service with context.
Patients leave hospital with monitoring in place. Complications caught before readmission. Community teams receive governed handovers.
Movement, activity, vital signs for frail patients. Alerts to community teams with context. Proactive intervention before crisis.
We work with neighbourhood health teams who want virtual wards that work - with governance infrastructure that makes device data clinically safe.
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