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Healthcare AI News 6/18/25

June 18, 2025 Healthcare AI News No Comments

News

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Lee Health (FL) launches Leah, an AI-powered conversational engagement platform that helps patients with hip, knee, and shoulder pain navigate the system’s services and receive guidance and education.

CONCERN EWS, an AI-powered early warning system that is powered by nurse observations and developed at CU Anschutz, analyzes nurses’ documentation patterns to predict patient deterioration up to 42 hours earlier than standard methods, reducing mortality and hospital stays while improving ICU transfers.

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Abstractive Health launches Clinical Time Machine, an AI-powered game that lets users explore structured charts that are generated from centuries-old handwritten medical records. The company, which describes the tool as “a Microsoft Flight Simulator for Medicine,” says that fewer than 1% of physicians have ever seen a full AI-generated medical record summary.

SAS launches Health Cost of Care Analytics, a tool that analyzes claims data to build episodes of care, helping identify cost, quality, and outcome drivers to inform protocols and provider contracts.


Business

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Abridge releases Inside for Inpatient, which converts bedside conversations into structured Epic notes. The company is also piloting integration of outpatient orders into Epic.

Hamilton Health Sciences is piloting an AI-powered phone receptionist that was developed by two local doctors and a software engineer. The system, which is being commercialized as Strello Health, books appointments, manages prescription refills, and answers questions. The company says it saves four hours per day and ensures that no caller is ever put on hold or sent to voicemail.

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Intermountain Health will implement Layer Health’s AI-powered chart abstraction system for chart review and will invest in the company.


Other

Aidoc releases an open-source, expert-authored framework that it developed with Nvidia and 17 healthcare organizations that guides safe, scalable, trust‑focused deployment of clinical AI across technical, regulatory, operational, and monitoring domains.


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