The Prescription for Better Healthcare Provider and Organization Data Management: AI-Native MDM

Editor’s Note: This post was originally published in October 2024. We’ve updated the content to reflect the latest information and best practices so you can stay up to date with the most relevant insights on the topic.

‍Summary:

• Healthcare organizations need accurate provider and organization data for seamless operations and compliance.
• Traditional MDM solutions struggle to scale with the growing volume of healthcare provider and organization data.
• Tamr’s AI-native MDM automates data mastering and enriches records with external data sources.
• Benefits of AI-native master data management in healthcare include improved data integrity, efficiency, regulatory compliance, and patient outcomes.
• AI-native MDM helps healthcare organizations streamline operations, reduce costs, and deliver better care.

Healthcare organizations need accurate provider and organization data to support everything from scheduling and referrals to claims and reimbursements. But poor quality data creates friction at every turn. Inconsistent, incomplete, duplicative, and outdated provider and organization information can lead to billing errors, delays in patient care, and even compliance risks. Without unified, mastered data, healthcare organizations struggle to maintain the accuracy of credentials, specialties, and locations, leading to inefficiencies that ripple throughout the entire system. 

Addressing these challenges is critical to ensuring that healthcare providers can deliver seamless, high-quality care. Historically, healthcare organizations relied on traditional master data management (MDM) solutions to address these challenges. But rules-based MDM simply cannot scale as healthcare data proliferates. 

Instead, healthcare organizations need to embrace AI-native MDM solutions to automate the mastering process. Using machine learning algorithms, Tamr’s AI-native MDM solution improves data accuracy, accelerates processing speeds, and increases scalability. Further, Tamr enables healthcare organizations to integrate with external data sources like the National Plan & Provider Enumeration System (NPPES), Centers for Medicare & Medicaid Services (CMS), and Research Organization Registry (ROR) to easily enrich and validate their data and create golden records that represent a comprehensive and reliable view of key provider and organizational entities. 

Tamr’s AI-Native Approach to Healthcare Provider and Organization Data Management

Tamr tackles the complex challenges of healthcare provider and organization data management using an AI-native approach that automates and enhances the MDM process. Using capabilities such as automated data mastering, data enrichment, real-time data processing, and interactive issue resolution, Tamr’s scalable, flexible solutions modernize master data management in the healthcare industry—enabling healthcare organizations to gain access to holistic provider and organization views they can trust. 

By automating data mastering and enriching records with reliable external data from reputable sources such as NPPES and CMS, Tamr equips healthcare organizations with the capabilities they need to:

• Improve data integrity: Machine learning models reduce errors, ensuring that provider and organization data remains consistent across all of the healthcare organization’s systems of record.
• Boost efficiency: Real-time data processing ensures that healthcare organizations can access accurate information, mastered on-the-spot, enabling them to make faster, more informed decisions.
• Comply with regulations: Accurate, mastered, up-to-date data is crucial for adhering to regulatory requirements and producing reliable reports.
• Improve treatments and minimize risk of misdiagnoses: Mastered provider and organization data ensures patients receive the right care from the right provider, which, in turn, improves treatment outcomes and lowers the chance of misdiagnoses or inappropriate treatments.‍
• Reduce operational costs: Accurate multi-domain data streamlines operations, reduces administrative burdens, and drives value-based care by aligning the right provider with the right patient every time.

The high stakes of patient outcomes and regulatory compliance make effective data management essential for healthcare organizations today. Using AI-native MDM, healthcare organizations can tap into the full power of their data to navigate the challenges of healthcare data management, optimize operational efficiency, and deliver better patient outcomes.

To learn more about how Tamr’s AI-native MDM can help your healthcare organization, please download our ebook, "Healthcare Provider and Organization Data Management: Tamr’s Approach with AI-Native MDM."