26 Jan Health Data News Roundup: Trump Healthcare Plan; Bias and Healthcare AI; and Amazon AI Health Tool

Welcome to the Health Data Weekly News Roundup from IMAT Solutions. As the power of data continues to grow in the healthcare arena, today’s care organizations need to be on the forefront of all news and trends to help ensure that their data analytics efforts deliver accountable and informed care. Each week, we will provide you with the actionable news you need to meet these goals.

3 Big Questions About Trump’s Healthcare Policy Plan
President Donald Trump released a healthcare policy framework on January 15th, and it raises many questions about its implementation and legislative viability from the payer community, according to Becker’s Payer Issues.

ChatGPT, M.D.? Evaluating Bias and the Growing Prevalence of AI in Healthcare
While AI can support clinicians and speed access to information, studies show that large language models may reflect gender and racial biases when trained on uneven data, reinforcing the need for representative data and responsible AI use in healthcare, according to Yale Global Health Review.

CMS Wants to Speed Up Tech Innovation and AI For Patients, Setting Major Goalposts in 2026
The CMS 2026 tech goals center on promoting an interoperability framework and increasing the availability of apps that help Medicare patients manage diabetes and obesity, access conversational AI tools and replace paper intake forms with digital check-in, according to Fierce Healthcare.

Amazon Launches AI Health-Care Tool for One Medical Members
Last week, Amazon rolled out an artificial intelligence health-care assistant for members of its primary care chain One Medical, joining the likes of OpenAI and Anthropic, which recently launched similar features, according to CNBC.

How to Prepare for A Surge in Claim Denials in 2026
In 2026, denials are poised to become one of the most powerful cost-containment levers for payers, and the volume, speed and complexity of denials will rise accordingly, according to Health Data Management.

Why Trusted Health Data Is the Backbone of Modern Clinical Risk Management
Clinical risk teams cannot effectively prevent harm when safety, clinical, and claims data are fragmented. In a recent IMAT blog post, Mark Coetzer explains why trusted, unified health data is essential for identifying risk trends earlier, strengthening investigations, and helping organizations shift from reactive response to proactive patient safety. Read the full blog post here.