Healthcare Data Mastering
Healthcare data is fragmented and complex. Tamr unifies and cleans provider and organization data to create trusted records, enabling better care, compliance, and efficiency.
Nation’s largest physician staffing company...
- Reduced duplicate physician records by 46%
- Masterered millions of provider records in weeks
- Prevented duplicates in real time with Tamr RealTime APIs
Fragmented Healthcare Data is Holding Organizations Back
Healthcare provider and organization data lives across silos and legacy systems, leading to errors and compliance risks. Tamr’s AI-native MDM unifies and enriches records into trusted golden records, improving data quality, efficiency, and patient and provider experiences.
Siloed and Fragmented Data
Healthcare data is spread across EHRs, claims, and registries, creating disconnected views that make coordinated care difficult. Tamr’s AI-native data mastering approach unifies siloed records, providing a holistic, accurate view of providers and organizations and the relationships between them.
Data Quality Issues
Inconsistent, duplicate records, and data entry errors erode trust in data and create compliance risks. Tamr cleanses, standardizes, and enriches records with CMS data, including NPPES, to ensure accuracy, completeness, and reliability.
Compliance and Security
Healthcare organizations must protect sensitive data and ensure accuracy to avoid compliance violations. Tamr creates auditable golden records and uses real-time APIs to keep provider and organization data accurate, current, and compliant.
Scalability Constraints
Healthcare data is growing fast, but legacy MDM solutions can’t keep up. Built for scale, Tamr manages millions of records with ease and adapts as data evolves, helping organizations move beyond rule-based data mastering to achieve faster time-to-value with AI-driven automation.
Why Tamr vs. Traditional MDM
Where traditional, rules-based MDM struggles, Tamr masters data quickly, accurately, and at scale.
In the startup world, change is constant. But one thing remains consistent: our values. We believe there’s a strong link between happy people and healthy startups, and we’re committed to building a safe and nurturing environment for our team. We do this through:
Faster value
Master millions of records in weeks, not months.
Scalability
Use AI-driven automation to manage multi-domain healthcare datasets.
Real time
Prevent duplicates and keep records accurate at the point of entry.
Enriched data
Integrate CMS and other trusted external sources in one click.
Lower cost
Reduce manual stewardship and deliver higher ROI with lower costs.
Healthcare Data Mastering FAQs
Healthcare data mastering involves unifying and enriching healthcare data across electronic health records (EHRs), claims, and registries to provide a holistic view of providers, organizations, and the relationships that exist between them. With single, unified golden records, healthcare organizations improve data quality, increase efficiency, and deliver better patient and provider experiences.
Tamr applies different AI/ML models alongside select rules and human/agentic curation to clean, match, merge, and maintain data across EHRs, claims platforms, registries, CRM applications, and more. The result is a golden record that represents the best, most accurate version of provider and organization data across systems and sources.
Entity resolution improves data accuracy by unifying fragmented healthcare data into a single, trusted golden record. This single, mastered golden record can then serve as the source of truth across the organization and connect in real time to every system that needs the most accurate, complete, up-to-date information. As a result, healthcare organizations achieve greater data accuracy, improve care coordination, and deliver better patient outcomes.
Through integration with external sources such as Centers for Medicare & Medicaid Services (CMS) and National Plan and Provider Enumeration System (NPPES), healthcare organizations and companies that serve them can enrich their data with additional information—such as National Provider Identifiers (NPIs), practice locations, and specialties. Data enrichment also fills in any gaps, providing a more complete and accurate view of each provider or organization entity.
Tamr provides the accurate and up-to-date cross-entity relationship data that is required to meet regulatory requirements and produce reliable reports. It also delivers the effective data management capabilities needed to ensure healthcare data remains accurate and secure.
When healthcare data is inaccurate or fragmented, healthcare organizations often find it difficult to share information seamlessly across different platforms and organizations. These disconnected views can lead to inconsistencies or duplications, or worse, put proper patient care at risk.
Healthcare Provider and Organization Data Management
Build a Data Foundation for Connected Customer Experiences
Healthcare Provider Data Management
See for yourself
Get a free, no-obligation, 30-minute demo of Tamr, and discover how our unique AI-native MDM solution can empower you to deliver data you can trust.