Trusted Healthcare and Life Sciences Data Starts Here
Healthcare and life sciences data is inherently connected—providers, organizations, compounds, referral networks, and patients all influence one another. Tamr improves healthcare data management by creating a contextualized knowledge layer across these entities, increasing visibility, operational efficiency, and AI readiness.
Fragmented Healthcare Data Impacts Care, Compliance, and Growth
Life sciences and healthcare organizations manage fragmented provider, organization, clinical, and operational data across EHRs, CRMs, claims systems, and research platforms. Tamr’s AI-native MDM helps unify and master complex healthcare data at scale, improving operational efficiency, compliance, analytics, and patient outcomes.
Provider & Referral Network Integrity
Inaccurate provider and referral data leads to duplicate records, disconnected care networks, and operational inefficiencies. Tamr unifies and cleanses healthcare provider and organization data across systems to improve referral visibility, provider onboarding, and care coordination.
Clinical, Research & Product Data Connectivity
Clinical trial, investigator, product, and compound data often live across disconnected research and operational systems. Tamr unifies these data points and creates a knowledge graph, providing valuable context into relationships across entities to improve study planning, operational visibility, lifecycle management, and analytics.
Revenue Cycle & Claims Optimization
Disconnected provider, organization, and payer data slows claims processing and increases revenue cycle complexity. Tamr delivers trusted, real-time healthcare entity data that improves claims accuracy, operational efficiency, and financial visibility.
Regulatory Compliance & Audit Readiness
Healthcare and life sciences organizations must protect sensitive data and ensure accuracy to avoid compliance violations. Tamr helps create and maintain trusted, traceable healthcare data that supports reporting, governance, transparency initiatives, and audit readiness.
CHG Healthcare
Global Life Sciences Company
Leading Healthcare Provider
Redefining Data Stewardship and Governance
The Components of Data Governance
AI in Data Governance: Improve Compliance, Control, and Trust
FAQs
Fragmented, incomplete, duplicative data about healthcare providers, hospitals, clinics, and group practices is often spread across multiple systems, including Electronic Health Record (EHR) systems, credentialing platforms, CRMs, and other operational applications, making it difficult to gain a holistic, 360-degree view of healthcare providers and organizations. Without these views, teams struggle to track organizational information and provider credentials and affiliations, comply with regulations, deliver efficient onboarding, and manage networks and claims.
AI-native master data management (MDM) improves healthcare data management by using a combination of advanced AI/ML models, agentic data curation, and select rules to master provider and organizational data, delivering the holistic golden records needed to improve patient outcomes, remain compliant, increase operational efficiency, and drive better decision-making.
Tamr can master healthcare provider/clinician data, including credentials and affiliations, and healthcare organizational data such as clinics, hospitals, networks, and group practices. In addition, Tamr provides multi-domain coverage so healthcare and life sciences organizations can also master data related to claims, locations, products, or other custom entities such as vaccines, clinical studies, and more.
Tamr integrates with internal systems such as Oracle, Salesforce, Veeva, and more, as well as custom-developed apps. In addition, Tamr integrates with trustworthy third-party sources such as NPPES, CMS, Dun & Bradstreet, and others to enrich provider and organization records and make them more accurate and complete.
Tamr helps healthcare and life sciences organizations support compliance by delivering accurate and up-to-date golden records and cross-entity relationship data that are required to meet regulatory requirements and produce reliable reports. It also delivers the effective data management capabilities needed to ensure healthcare provider and organizational data remains accurate and secure.
When healthcare and life sciences organizations have clean, trustworthy golden records, mastered across multiple domains, they ensure that AI systems and AI agents are using the best version of their data to automate processes and deliver insights that inform decision-making. As a result, they can reduce errors and hallucinations, reveal connections among records, and accelerate time-to-value of AI-powered initiatives.
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.