24 Aug Health Data News Roundup: AI Should Not Automate Data Problems; MA Plan Dissatisfaction; and AI Governance

Welcome to the Health Data Weekly News Roundup from IMAT Solutions. This week’s healthcare data news highlights how organizations are strengthening the foundations needed to support AI, value-based care, and more connected healthcare. From AI-ready data and payer modernization to ACO technology readiness, automated consent, and AI governance, healthcare leaders are confronting the data and operational challenges that can determine whether new technologies deliver meaningful results.

AI Shouldn’t Automate Healthcare’s Data Problems
Healthcare organizations should address fragmented data and inefficient workflows before scaling AI. Building AI-ready data that is normalized, validated, and usable can help organizations improve automation while supporting analytics, quality reporting, and other healthcare priorities, according to this IMAT Solutions blog post.

Payers Look to AI and Data to Modernize Operations
Health plans are modernizing claims, prior authorization, provider data, quality, and care management with AI, automation, and stronger data infrastructure to improve efficiency, interoperability, and member outcomes, according to PwC.

Medicare Advantage Member Satisfaction Lags for Second Consecutive Year
Member satisfaction scores for Medicare Advantage are in a slump, with new figures from JD Power showing a decline for the second year in a row, according to xtelligent Healthcare Payers.

ACO Technology Readiness Lags Ahead of CMS LEAD Model
A new study finds ACO technology readiness at just 49 out of 100 ahead of the CMS LEAD Model launching in 2027. Nearly 69% of organizations reconcile risk and quality data across three or more systems, while 61% report weak or nonexistent Medicare-Medicaid data integration, highlighting ongoing data fragmentation and interoperability challenges, according to Black Book Research.

The Future of AI Governance and Data Analytics in Healthcare
At the Healthcare Innovation Summit in Washington, D.C., panelists discuss what effective AI governance looks like in practice and the implications for adoption, oversight, and reimbursement as organizations scale AI responsibly in this Healthcare Innovation video.

Automated Consent Could Advance Health Data Sharing
Computable consent could help healthcare organizations automate patient data-sharing preferences while navigating complex privacy requirements. By replacing paper-based processes with structured electronic consent, organizations could reduce barriers to appropriate information exchange while giving patients greater control over their data, according to Healthcare Innovation.

This week’s stories reinforce the importance of getting the underlying data and infrastructure right as healthcare technology continues to evolve. Whether organizations are scaling AI, modernizing payer operations, preparing for new value-based care models, or improving health data exchange, trusted and usable data will be essential to reducing fragmentation, supporting better decisions, and generating greater value from technology investments.