Healthcare Unified Data Intelligence Platform – 4-Week Implementation

Healthcare organisations often face challenges with fragmented systems, siloed patient records, and limited visibility across care pathways. These issues restrict data-driven decision-making and hinder improvements in patient outcomes. OpenSky’s Unified Data Intelligence Platform for Healthcare is a 4-week consulting engagement that delivers a working prototype of a modern, Microsoft Fabric-based data platform, with Azure services extending capabilities where required. Built on Microsoft Fabric, OneLake, and FHIR integration standards, the solution enables providers and payers to unify data across EHRs, registries, devices, and external sources—unlocking interoperability, advanced analytics, and opportunities for AI-driven automation. For customers who have completed the Healthcare Data Intelligence Readiness Assessment (Offer #1), this engagement is the natural next step: moving from planning into a functional, compliant platform prototype. For organisations already cloud-ready, this offer can be delivered directly as a standalone implementation. Aligned with Microsoft Cloud for Healthcare, the solution embeds compliance safeguards (GDPR, HIPAA, NIS2, ISO27001, ISO42001, EU AI Act) and leverages Fabric’s scalability and Azure-native services to enable future expansion into AI, patient engagement agents, and predictive analytics—always in line with Microsoft Responsible AI practices.

Key Deliverables By the end of the 4-week engagement, you will receive:

• Healthcare Data Assessment Report (refined, building on Offer #1 or recreated if not completed).
• Microsoft Fabric Reference Architecture Blueprint customised to your environment, with Azure hybrid options.
• Prototype Unified Data Platform deployed in Fabric, ingesting representative HER/registry data into OneLake.
• Compliance & Safeguards Framework documentation aligned to HIPAA, GDPR, NIS2, ISO27001, ISO42001, EU AI Act, and Microsoft Responsible AI principles.
• Analytics & Insights Demo: Power BI dashboard showing actionable clinical and operational insights.
• Roadmap to Production: A phased plan for scaling into predictive analytics, automation, and AI-powered patient engagement.

Key Areas Covered

1. Data Ingestion & Integration

• Consolidation of siloed data from EHRs, registries, devices, and external health sources.
• FHIR-based API implementation for interoperability with Microsoft Fabric and Azure.

2. Platform Architecture & Deployment

• Secure deployment of a Microsoft Fabric-based data estate in OneLake.
• Hybrid Azure services configured where Fabric features are not yet available .

3. Compliance & Safeguards

• Embedding of HIPAA, GDPR, NIS2, ISO27001, ISO42001, and EU AI Act controls.
• Data residency, audit logging, and governance measures aligned with Microsoft best practices.

4. Analytics & Insights Enablement

• Setup of Power BI dashboards connected directly to Fabric data models.
• Demonstration of real-time operational and clinical insights.

5. Extensibility & Future-Proofing

• Design for scalability across new data sources and geographies.
• Pathways to enable Responsible AI, automation, and virtual patient engagement agents.

Who is this For?

• Healthcare CIOs, CDOs and digital transformation leaders
• Data and analytics teams in healthcare providers
• Public and Private health organisations looking to consolidate fragmented data systems