Capita Healthcare Decisions enables hospital-at-home remote monitoring for NHS patients
Capita Healthcare Decisions developed Head Home, a remote patient monitoring solution utilizing Microsoft Azure Health Data Services to support the NHS hospital-at-home model. By unifying patient health data in the cloud and leveraging wearables, care teams can monitor patients' health indicators such as blood oxygen, heart rate, temperature, respiratory rate, blood pressure, and ECG remotely and in real-time. The system enables timely reactions through personalized thresholds and notifications, helps reduce hospital pressures and elective care backlog, and fosters better patient outcomes and satisfaction. The solution includes a voice personal assistant for patient-care team communication and integrates data from multiple wearable device providers via FHIR and DICOM standards, improving interoperability and operational efficiency. The platform is part of Capita's broader clinical decision support offering, expanding NHS capability for proactive at-home care while maintaining strong data protection standards. The article provides an overview of the technical and operational benefits Head Home delivers in the UK healthcare context.
- Organization
- Capita Healthcare Decisions
- Industry
- Healthcare
- Location
- United Kingdom
- Published
- June 2022
Reported outcomes
Strategic outcomes
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Capita Healthcare Decisions, National Health Service (NHS)
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- azure.microsoft.com
The solution includes a voice personal assistant for patient-care team communication and integrates data from multiple wearable device providers via FHIR and DICOM standards, improving interoperability and operational efficiency
Primary read
Use case focus
Showing 3 of 4
- 1Remote patient monitoring
- 2Hospital-at-home patient management
- 3Wearable device integration
- NHS facing severe pressures and resource constraints post-COVID-19.
- Declining availability of hospital beds, with up to 15% used by patients waiting for care.
- Lack of interoperable and unified remote monitoring solutions for at-home patient care.
- Data from home wearables stored in siloed on-premises systems, delaying care response.
- Existing remote care models rely on expensive, bespoke hardware and vendor-specific software.
- Developed Head Home, a remote patient monitoring solution using Azure Health Data Services.
- Unified patient health data in the cloud using FHIR and DICOM open standards.
- Monitored multiple health indicators (blood oxygen, heart rate, temperature, etc.) in real time via wearables.
- Enabled alerts and proactive care based on personalized thresholds set by clinicians.
- Implemented voice personal assistant interface to facilitate patient-care team communication.
- Enabled timely, personalized and proactive patient monitoring at home.
- Helped reduce NHS pressure and the elective care backlog.
- Improved patient outcomes and satisfaction by supporting at-home recovery.
- Reduced dependency on multiple proprietary device vendors and siloed software.
- Improved operational efficiency and resource allocation for care providers.
Architecture
Capita Healthcare Decisions' Head Home ingests data from wearables and IoMT devices via FHIR and DICOM protocols. Patient health indicators are unified in the cloud with Azure Health Data Services, processed according to clinician-defined thresholds to generate alerts and notifications. Voice personal assistant interface records patient-care communications, all integrated on a monitoring dashboard, with interoperability across multiple device vendors.
Sources & evidence1
- Customer explicitly identified
- Deployment status explicitly supported
- Technical implementation details available
- Recent evidence check available
- Last evidence check: Jul 22, 2026.
The case's original source is still reachable.
- Cited source last checked Jun 12, 2026 — ok (0/1 broken).
Measures whether this deployment's public evidence persists — not whether the system is still in production.
AI-generated summary. Verify important details with the linked sources before relying on this case.
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