Executive Brief - Microsoft Fabric + Purview in Hospital Operational Efficiency
A New Era for Healthcare Leadership
As a healthcare leader, I see firsthand the complexities of navigating CMS and HIPAA compliance, aligning clinical FTEs, and tracking RVUs while striving for operational efficiency. The root issue is fragmented data, which stifles innovation and burdens our teams with manual processes.
Microsoft Fabric, with its unified OneLake architecture and Purview governance, offers a transformative solution by integrating disparate data sources into a compliant, analytics-ready foundation. Coupled with RealActivity Co-pilots, we can leverage predictive and generative AI to optimize staffing, enhance patient care, and streamline reporting.
This platform empowers us to break down silos, ensure compliance, and drive measurable efficiency, freeing our clinicians to focus on what matters most—delivering exceptional patient care.
Why It Matters
Healthcare leaders face mounting challenges:
CMS and HHS compliance: Increasing demands for transparency and auditability.
Clinical FTE alignment: Understanding the true cFTE (lowercase “c,” uppercase FTE) across providers.
RVU and wRVU tracking: Measuring provider workload accurately and fairly.
Operational efficiency: Freeing clinicians from manual reconciliation and redundant reporting.
The common barrier? Fragmented data.
Microsoft Fabric: A Unified Foundation
OneLake
A universal data lakehouse for all sources.
Open Delta/Parquet format ensures consistency and interoperability.
Key Integrations
Dataverse → Fabric: Power Apps for scheduling, care management, and engagement surface as Delta tables.
SQL Server → Fabric: Clinical and operational databases ingested as analytic-ready, governed assets.
Purview Governance
Lineage, classification, and sensitivity labeling.
CMS and HIPAA compliance are built into the data estate.
Two Paths for AI
Predictive AI
Forecast staffing to align cFTEs.
Model patient flow to reduce wait times.
Identify high-risk patients earlier.
Generative AI (LLMs)
Retrieval-augmented generation (RAG) from Fabric data.
Fine-tuned models on clinical operations data.
Natural language dashboards for leadership.
Leadership Value
Compliance: End-to-end lineage supports CMS audits; PHI/PII managed by design.
Efficiency: Unified data reduces redundant reporting and manual reconciliation.
Scalability: A foundation ready for both predictive models and next-generation copilots.
RealActivity Copilots: Applied Innovation
Our RAPS Copilot and Provider Support Copilot are built directly on Fabric + Purview.
What this means for leaders
Guardrails for CMS and HIPAA compliance.
Scalability with Delta/Parquet architecture.
Actionable insights into cFTE alignment and RVU/wRVU utilization.
Outcome: Freeing clinical FTEs for patient care while maintaining compliance and efficiency.
Visual: Data Flow Diagram
[Dataverse] [SQL Server]
| |
v v
-------------------
OneLake
(Delta/Parquet)
-------------------
|
v
-------------------
Microsoft Fabric
(Analytics, Engineering,
Science, Power BI)
-------------------
|
v
RealActivity Co-pilots
(RAPS Co-pilot, Provider
Support Co-pilot)
Strategic Takeaways for Executives
Data silos are no longer sustainable — unification is essential.
AI must be built on trusted, governed data to be compliant.
Operational efficiency, not more dashboards, is the real leadership lever.
Microsoft Fabric + Purview = platform
RealActivity Copilots = application
Together, they enable healthcare leaders to innovate responsibly and achieve measurable operational efficiency.
Closing Thought
Healthcare doesn’t need more disconnected data projects. It needs a unified, governed foundation that balances compliance, efficiency, and AI innovation.
Fabric and Purview provide that foundation. RealActivity Copilots prove what’s possible on top of it. Dive in deeper with my LinkedIn Executive Brief on operational efficiency and AI.
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