Provider
University Medical Center
Technology
Microsoft Fabric
Microsoft Power BI
Microsoft Purview
Epic, eClinicalWorks
IDX, ACS
Key Outcomes
Unified clinical and revenue cycle data strategy
Standardized KPIs for reporting
Stronger governance and HIPAA-aligned security
Faster time-to-value with an MVP roadmap
VNB Health helped a leading university medical center modernize its healthcare analytics environment using Microsoft Fabric. By unifying clinical and revenue cycle data across fragmented systems, the organization gained a scalable foundation for trusted reporting, stronger governance, and faster decision-making.
Customer Profile
The customer is a prominent healthcare insurance provider serving a vast population. With a rich history in the industry, they are committed to delivering comprehensive healthcare solutions and enhancing member experiences. The organization operates in a highly regulated environment, necessitating robust and compliant systems. Due to the sheer volume of transactions and complex nature of healthcare data, the customer handles a significant workload, demanding efficient and reliable IT operations.Â
Customer Situation
The customer handled 270/271 Healthcare Eligibility Benefit Inquiry transactions to verify patient healthcare eligibility, coverage, and benefits. The customer relied on custom API interfaces built on Microsoft BizTalk Server to connect with multiple insurance payers. This complex integration environment, characterized by high transaction volumes and frequent changes, was prone to instability. Updates to one payer’s interface often disrupted connections with others. To mitigate this risk, accelerate development and ease the build, deployment and testing process, the customer sought an automated solution that would enable continuous integration and continuous delivery (CI/CD) with robust automated testing.
Customer Profile
The customer is a leading U.S.-based academic healthcare organization operating at the intersection of patient care, education, and research. Its physicians, caregivers, and administrative teams work across a broad network of specialties and care settings to deliver high-quality outcomes in a complex, mission-driven environment. Beyond clinical care, the organization also plays a critical role in training future healthcare professionals and advancing medical research, with operations spanning multiple departments and functions that support patient care, financial performance, and institutional goals.
Customer Situation
The university medical center's analytics ecosystem was severely fragmented across disparate clinical and financial platforms, making it difficult to access timely, trusted insights across the enterprise. Data was heavily siloed across core systems, including Epic for primary EHR workflows, two separate instances of eClinicalWorks (eCW) for the Medicine and Hospital Partners, IDX for legacy practice management, and an external ACS Billing Partner for revenue cycle data.
Because clinical and financial data lived in these isolated environments, reporting required exhaustive manual reconciliation and spreadsheet stitching. Furthermore, KPI definitions varied across departments depending on the source system used, and limited centralized governance created risks around data quality and HIPAA-aligned oversight. To overcome these challenges, the customer sought to modernize their analytics environment, bridge the gaps between Epic, eCW, IDX, and ACS, and build a scalable foundation that ensures data consistency, strict compliance, and faster, more confident decision-making.
VNB Solution
VNB Health led a discovery engagement with clinical, revenue cycle, and IT stakeholders to define a practical roadmap for a modern healthcare data analytics platform. The team aligned business goals, assessed source systems, mapped critical KPIs, and embedded governance and compliance requirements from the start.
- Stakeholder alignment: Workshops with clinical, financial, and IT leaders helped clarify priorities, pain points, and KPI requirements.
- Current-state assessment: VNB evaluated key EHR, billing, and partner data feeds for structure, quality, refresh frequency, and integration readiness.
- KPI and data model mapping: Source data was mapped to an MVP-focused clinical and revenue cycle analytics model to support standardized reporting and identify data gaps.
- Governance by design: Data governance, lineage, stewardship, and HIPAA compliance requirements were built into the roadmap, with Microsoft Purview identified as a key enabler.
The engagement concluded with a roadmap outlining the current state, target architecture, and phased implementation plan. The recommended MVP focused on clinical analytics and revenue cycle analytics to accelerate time-to-value and support measurable business impact.
The future-state vision centered on a unified healthcare data and analytics platform built on Microsoft Fabric, designed to connect clinical and financial data, improve reporting, and support secure, scalable growth.
Medallion architecture: A Bronze-Silver-Gold design in Microsoft Fabric organizes raw, curated, and analytics-ready data for reliability and scale.
Integrated analytics workloads: Fabric supports data ingestion, transformation, Lakehouse storage, and Power BI reporting in one connected environment.
Built-in governance and security: Microsoft Purview, role-based access, and enterprise security controls help protect PHI and support HIPAA compliance.
Accelerated implementation: VNB’s healthcare analytics accelerators provide pre-built models and KPI frameworks for clinical and revenue cycle analytics, reducing time to deployment.
The result is a governed, scalable healthcare analytics foundation that creates a single source of truth for clinical and financial reporting. With standardized metrics, stronger data quality, and better visibility, the organization is positioned to support executive dashboards, self-service analytics, and future AI initiatives.
Customer Benefits
Unified analytics strategy: The organization now has a clear blueprint for consolidating clinical and revenue cycle data into a single trusted platform.
Faster time-to-value: An MVP-first roadmap and pre-built accelerators support the faster delivery of actionable insights.
Improved efficiency and data quality: Automated pipelines and standardized transformations are expected to reduce manual effort while improving reporting consistency.
Stronger governance and compliance: A modern governance model improves trust in data while supporting HIPAA-aligned security and access controls.
