data product

Healthcare Organizations

Create a unified, reliable view of healthcare organizations and their relationships. Use Tamr’s Healthcare Organizations data product to connect fragmented records and support operational efficiency and compliance.

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Leading Organizations Achieve Rapid, Measurable Results

“[Tamr helped]...revolutionize our approach to data management—increasing speed, enhancing accuracy, and bolstering confidence in our data management processes, while advancing our mission of providing the best care possible for our patients.”
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Sr. Director of Enterprise Transformation
Global Oncology Company

A global oncology company enabled advanced analytics and better decision-making with accurate, trusted, and consumption-ready data
A healthcare services company helped its customer, a top pharmaceutical company, to drive multi-touch customer marketing initiatives
A healthcare staffing company improved the clinician experience by reducing onboarding time from weeks to minutes

Deliver Accurate Healthcare Organization Data Across the Enterprise

Tamr’s Healthcare Organizations data product is a pre-configured application that utilizes our AI-native MDM platform capabilities to continuously improve enterprise data, delivering the best version of your healthcare organization data to all consumption endpoints.

360° Organization and Network Views

Consolidate fragmented records of hospitals, clinics, and group practices from any number of different systems. Tamr continuously matches and updates records to ensure your data reflects the most current organizational structure and helps resolve data quality issues and reduce duplication.

Compliance and Reporting Confidence

Support regulatory and compliance initiatives with accurate, auditable data. Ensure consistent organizational records across systems to improve reporting accuracy, transparency, and trust in your data.

Continuous, Agentic Data Curation

Automatically surface high-priority data issues—like suspected duplicates or incomplete records—and resolve them through guided, agentic workflows. Focus effort where it matters most and continuously improve data quality over time.

Referential Data Integration

Enhance healthcare organization records with trusted external data sources such as HIEs, government registries, and commercial datasets. Improve completeness and accuracy while maintaining consistency across systems.

Healthcare Organizations FAQs

What challenges do enterprises face when managing healthcare organization data?

The most common challenges with healthcare organization data include fragmented, duplicative, and incomplete hospital, clinic, and group practice records from multiple systems and sources. These challenges prevent healthcare and life sciences companies from effectively tracking organizational relationships, supporting regulatory compliance, and making effective decisions.

How does Tamr create and maintain accurate healthcare organization records across systems?

Tamr’s Healthcare Organizations data product uses patented, pretrained machine learning models for organization entity matching and unification. It also surfaces relationships that enable teams to see the connections with and between clinics, hospitals, and group practices across disparate systems. Tamr also enriches healthcare organization records with data from trustworthy, third-party sources such as health information exchanges (HIEs), government registries, and commercial datasets to further enhance organizational profiles. With these unified, enriched views, companies can move beyond record-matching to reveal more holistic views of healthcare organizations that improve reporting accuracy, transparency, and trust.

How does Tamr model relationships between healthcare organizations and networks?

Tamr utilizes enterprise knowledge graphs to deliver broader business context so that users can better understand the complex, interconnected relationships within their data, including how different healthcare organizations relate to one another. With this information, users can then answer deeper questions about their data and reveal meaningful connections that help them make better, more informed decisions.

How does integrating referential data sources like HIEs and registries improve data quality?

Tamr’s AI-powered data enrichment capabilities augment healthcare organization data with referential sources—HIEs, government registries, and commercial datasets—to improve data completeness, consistency, and quality. Ultimately, these enhanced golden records lead to better, more accurate reporting, reduced compliance risk, and greater trust.

How does Tamr continuously improve healthcare organization data over time?

Tamr’s AI-native master data management continuously improves data quality in healthcare by providing real-time APIs and webhooks to instantly propagate changes to downstream systems and ensure data quality across systems. Using machine learning and agentic data curation, Tamr surfaces and resolves data issues such as duplicate or incomplete records. Tamr’s search-before-create workflow also matches and enriches data at the point of creation to prevent new duplicates from entering the system in the first place, ensuring operational workflows and consumption endpoints are using the most accurate and up-to-date version of the data.

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With a robust set of master data management capabilities, our Healthcare Organizations data product delivers fast, scalable results to meet the demands of modern healthcare.