"You cannot build a successful value-based care strategy on fragmented, unreliable data. Analytics tools are only as good as the data they consume.”
— Andrew Cone, Gaine CRO

SAN LUIS OBISPO, CA, UNITED STATES, September 18, 2025 /EINPresswire.com/ -- Gaine, a leader in health data management, today announced it has been named a Major Player in the IDC MarketScape: U.S. Value-Based Healthcare Analytics 2025 Vendor Assessment (doc #US53765825, September 2025). Gaine believes the report recognizes Gaine for its foundational approach to unifying complex healthcare data, which enables payers and providers to succeed in value-based arrangements.

"The U.S. value-based healthcare technology sector has rapidly evolved from basic population health tools to sophisticated platforms that integrate real-time data, advanced analytics, and seamless care coordination," said Jennifer Eaton, research director, Value-Based Healthcare IT Transformation Strategies at IDC. "Today, technology is enabling providers and payers to move beyond retrospective cost savings and focus on proactive risk management, patient engagement, and measurable clinical outcomes, unlocking the full potential of value-based care models in an increasingly complex landscape.”

"We believe being recognized as a Major Player in the IDC MarketScape for Value-Based Healthcare Analytics validates our foundational approach," said Andrew Cone, Chief Revenue Officer at Gaine. "You cannot build a successful value-based care strategy on fragmented, unreliable data. Analytics tools are only as good as the data they consume. We focus on solving the root problem by creating a single source of truth that our clients can use to power any analytics, AI, or population health application with confidence. It's the critical enabler of financial and clinical success in value-based care."

The IDC MarketScape notes, “Organizations should consider Gaine when seeking a healthcare-centric data platform to unify, cleanse, and harmonize fragmented data across clinical, financial, and operational domains. Gaine HDMP is particularly well-suited for payers, ACOs, large provider groups, and life sciences entities preparing for value-based care arrangements that require an interoperable data foundation to enable their chosen analytics, AI, and VBC strategies.”

About IDC MarketScape
IDC MarketScape vendor assessment model is designed to provide an overview of the competitive fitness technology and service suppliers in a given market. The research methodology utilizes a rigorous scoring methodology based on both qualitative and quantitative criteria that results in a single graphical illustration of each vendor’s position within a given market. IDC MarketScape provides a clear framework in which the product and service offerings, capabilities and strategies, and current and future market success factors of IT and telecommunications vendors can be meaningfully compared. The framework also provides technology buyers with a 360-degree assessment of the strengths and weaknesses of current and prospective vendors.

About Gaine
Gaine Technology specializes in healthcare data management solutions that enable healthcare and life sciences organizations to operate more effectively. Our purpose-built Gaine Health Data Management Platform (HDMP) creates a unified, high-quality, interoperable data foundation tailored to healthcare needs. By leveraging advanced master data management and an extensive healthcare-specific data model, Gaine delivers a trusted single source of truth that powers analytics and supports value-based care initiatives—helping clients improve operational efficiency and health outcomes.

Dihan Rosenburg
Gaine Technology
+1 888-403-1301
email us here
Visit us on social media:
LinkedIn

Legal Disclaimer:

EIN Presswire provides this news content "as is" without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.

Information contained on this page is provided by an independent third-party content provider. Frankly and this Site make no warranties or representations in connection therewith. If you are affiliated with this page and would like it removed please contact [email protected]