“In Healthcare, data doesn’t just support operations — it saves lives. And mastering that data can be the difference between confusion and clarity.”
As data leaders push toward agility, scalability, and AI readiness, many healthcare organizations find themselves bogged down by outdated Master Data Management (MDM) systems. One notable example is a large regional health network that upgraded from an aging on-premise Informatica MDM to Informatica’s SaaS MDM on IDMC, ushering in a new era of enhanced intelligence, reliability, and interoperability.
The Challenge: Stalled by Legacy, Struggling with Relationships
Our client, a multi-state Health System with 200+ hospitals and clinics, had been using a legacy on-premise MDM platform. Despite serving them for a decade, the platform posed several challenges:
- Rigid and high-maintenance with manual deployments and rule changes
- Lacking cloud elasticity to support new data domains and AI-readiness
- Inability to easily model complex relationships between providers, payees, and organizations
- Poorly visualized hierarchy views of large health groups and office networks
- Difficulty in standardizing provider data, establishing clean hierarchies, and enabling cross-domain insights.
The Solution: Informatica SaaS MDM on IDMC
We implemented Informatica Cloud Native MDM (SaaS) with CLAIRE AI assistance on the Informatica Intelligent Data Management Cloud (IDMC) platform. The key capabilities we unlocked include:
✅ Domain Modeling: Configured Provider, Organization, and Payee as independent but related master domains. Employed Business Entities and Relationships to reflect real-world Healthcare data intricacies.
✅ Relationship Establishment: One-to-many and many-to-many mappings between Providers and Organizations (hospitals, clinics). Enabled Payee mapping across multiple Providers and billing offices, simplifying revenue cycle tracking.
✅ Hierarchy Management: Utilized hierarchy manager to visually represent organizational units across corporate health systems, regional groups, and satellite clinics. Allowed real-time lineage views of Office → Clinic → Health Group.
✅ AI-Powered Match & Merge: Leveraged CLAIRE AI to detect fuzzy duplicates across millions of NPI registry entries, credential files, and hospital HR feeds.
Use Case: Unified Provider 360 for Seamless Patient Experience
Problem:
Patients were frequently bounced between providers due to inconsistent records. A single physician might appear under multiple variations across EMRs, billing, and credentialing systems.
Our Approach:
- Ingested Data from HR, Credentialing, NPI registry, EHR, Claims, and Scheduling platforms into IDMC.
- Built Business Rules to define survivorship and trust scores (e.g., hospital HR > NPI registry).
- Used Match & Merge Rules and AI-based clustering to auto-link duplicates. Modeled relationships between:
- Provider → Organization (Hospital, Clinic)
- Provider → Payee (Billing Entity)
- Organization → Office (Location Hierarchies)
Outcome:
- Achieved 98.5% match accuracy across over 1.2 million provider records
- Unified Provider views enabled centralized credentialing, improved scheduling, and better claim routing
- Reduced redundant billing errors by 37% in the first 6 months
Architecture Diagram: Informatica SaaS MDM in Action
Provider 360: Comparison between Disconnected Systems and Unified Golden Record Experience
The Business Impact
Why this Matters for Healthcare?
In a world increasingly defined by AI and precision medicine, clean, connected master data is the foundation. Informatica’s SaaS MDM isn’t just modern; it’s intelligent. In healthcare, this has significant implications, including improved patient journeys, more accurate analytics, enhanced operational outcomes, and increased AI readiness.
Final Thoughts: Ready to Migrate?
If you’re still using outdated MDM technology and considering options for modernization, look no further.
💬 Interested in learning how we assisted a client in achieving Provider 360 in under 12 weeks? Feel free to leave a comment or contact us directly.
