PUBLISHED | 4 min read

How to build a data strategy for value-based care contracts

Last edited: Sep 23, 2026 - Published Sep 23, 2026
Listen
--:--
How to build a data strategy for value-based care contracts

Value-based care contracts reward providers for quality and outcomes, not volume. But to succeed, you need a data strategy that gives you complete, accurate, and consistent data across your patient population. Without it, you're flying blind on quality metrics, risk adjustment, and financial performance.

Here's how to build a data strategy that supports your value-based care contracts, step by step.

Quick Quiz

Which of the following is a key clinical data source for value-based care contracts?

Select one answer.

Start with the right data sources

Your data strategy begins with identifying what data you have and what you need. Access to claims data is essential for managing ongoing value-based care arrangements, especially as you move toward downside risk contracts. Even in entry-level pay-for-performance arrangements, sourcing the right available data enables informed contract discussions and negotiations.

Key clinical data sources to consider include:

  • Electronic health records (EHRs)
  • Admission, discharge, and transfer (ADT) systems
  • Health information exchanges (HIEs)
  • Claims data from payers
  • Lab and pharmacy data

These sources provide leading indicators of real-time insight into patient care delivery and help ensure your data foundation is ready for value-based care.

Negotiate for full data access

A good flow of data and communication is the lifeblood of a successful payer-provider relationship in a value-based contract. To the extent possible, require full claims data and any other applicable reporting data for the populations covered by the contract, including lab and pharmacy data. Providers need visibility into the entire patient experience to understand leakage, pain points, and improvement opportunities.

Develop your own standard data request. If the contract covers a Medicare Advantage population, it requires the format of CMS "M" files (such as MMR, MA04, or MOR) and the PDE. Be proactive in asking for and understanding what data elements are available from the payer, as some may add value to your management and monitoring of members.

Build a governance framework

Data governance is critical. Establishing robust data governance frameworks ensures privacy, security, and accountability while sharing patient data. This includes defining data ownership, quality standards, and access controls. Without governance, you risk inconsistent data that undermines your analytics and contract performance.

Ensure interoperability

Interoperability supports value-based care by providing a foundation for data analytics. Healthcare organizations can aggregate data from various sources to create a comprehensive view of patient health. By adopting interoperability standards, you can ensure seamless data exchange across systems, applications, and devices, enabling real-time access to critical health information.

Leverage frameworks such as Health Information Exchanges (HIEs) and the Trusted Exchange Framework and Common Agreement (TEFCA) to break down data silos and streamline workflows.

Use analytics to drive decisions

Data-driven value-based care involves using analytics tools to extract and apply insights to workflows and interventions. This means moving beyond static reports to dashboards that track quality metrics, identify high-risk patients, and monitor cost trends. Analytics help you measure outcomes, improve care coordination, and reduce avoidable hospitalizations.

Actionable checklist for your data strategy

  1. Inventory data sources: List all clinical, claims, and operational data you currently receive.
  2. Negotiate data access: Include full claims data requirements in your contract negotiations.
  3. Standardize data requests: Create a template for requesting data from payers, including CMS M-files if applicable.
  4. Establish governance: Define data ownership, quality standards, and security protocols.
  5. Implement interoperability: Use HIEs and TEFCA to enable seamless data exchange.
  6. Deploy analytics: Build dashboards that track quality metrics and financial performance.

Quiz: Test your knowledge

Which of the following is a key clinical data source for value-based care contracts?

  • A. Claims data
  • B. Social media data
  • C. Weather data

Correct answer: A. Claims data is essential for managing value-based care arrangements, as it provides visibility into the entire patient experience.

How the Featured Expert Can Help

ArcadientIQ LLC offers healthcare data analytics consulting, specializing in Tableau, Alteryx, SQL, and business intelligence solutions. They provide project-based consulting to help organizations improve reporting, automate workflows, and gain operational visibility without building an internal analytics team. Visit ArcadientIQ to learn more.

Back to homepage