Clinical

The company's AI-powered platform aims to help clinicians diagnose and treat children with autism and related disorders.

At HIMSS25, data experts from the health system will describe how a machine learning model integrated with their Epic EHR gives care teams patient-specific guidance to prevent falls.

Darren Webber and Nathan Licht, principal data analysts at Cedars-Sinai, preview their HIMSS25 presentation on how chart abstractors use generative AI to detect sepsis and determine treatment and are teaching LLMs to ensure improved functionality.

The virtual care organization said the Drug Enforcement Administration's draft framework would impose on clinical decision-making. It also flagged compliance impracticalities around provider exclusions and arbitrary requirements.

The private hospital operator has started piloting Ramsay Scribe with plans to expand across inpatients and mental health outpatients.

An AI-powered evaluation framework can help test and scale AI implementations in healthcare, Flinders University researchers claimed.

The newly launched platform integrates registration, test data sharing, pre-consultation, and remote treatments.

The presence of hospital outcome data on EMS patient care reports in the National Emergency Medical Services Information System database improved in 2024. Data exchange progress is good news for patient care and could ultimately improve health outcomes.

Hartford HealthCare aims to speed up diagnoses and care coordination by integrating artificial intelligence at the point of care, says Dr. Barry Stein, CCIO. He explains what providers most need to make AI safe for use in patient care.

In a preview of his talk at the HIMSS25 Smart Health Transformation preconference forum, Matt Cybulsky, healthcare AI and product innovation lead at LBMC, discusses the artificial intelligence and automation use cases with the biggest realistic potential.