Healthcare AI News 6/4/25

News

RCM AI company Amperos Health announces $4.2 million in seed funding and the launch of Amanda, an AI tool designed to help providers automate denial management and collections.

The FDA launches Elsa, a generative AI tool that employees will use to automate reading, writing, and summarization tasks across the agency. The FDA is also working to develop AI for use within its Center for Devices and Radiological Health. That software, which would help employees with medical device reviews and approvals, is still in beta testing.

CVS Health will spend $20 billion over the next 10 years on technology upgrades to its consumer healthcare services. The company’s plans include developing dashboards for improved care coordination; improving transparency around insurance claims and cost estimates; and continuing to explore AI, which it already uses within its patient-facing pharmacy phone system. CVS Health Chief Experience and Technology Officer Tilak Mandadi says that while AI will have its place, the company will never use it in clinical decision-making or denials.

Business

AssistIQ, developer of AI-powered supply chain and management software, announces $11.5 million in funding and that Northwell Health (NY) has implemented its AIQ Capture solution.

Allina Health (MN) implements SoundHound AI’s agentic AI call center technology. SoundHound’s software is built on the Amelia AI platform, which it acquired last August for $80 million.

Research

Mount Sinai researchers develop a machine learning model that can recommend and manage insulin dosing for patients recovering from heart surgery in the ICU. They stress that the GLUCOSE algorithm, which is still in development, should be used as a clinical decision support tool rather than a physician replacement.

Providers are optimistic about the benefits AI could bring to their staffing and clinical processes, but are hesitant to truly embrace the technology, according to a new report from Wolters Kluwer Health. The majority of respondents worry that overreliance on AI may be detrimental to clinical decision-making, and note that their organizations do not have governance policies or training programs in place to ensure AI is used responsibly.

Contacts

Mr. H, Lorre, Jenn, Dr. Jayne.
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