MedCity News December 22, 2025
Tim McDonald

AI transforms incident data with the ability to analyze large volumes of reports, surface patterns and highlight problem areas. These insights allow hospital leaders to not only identify trends but also anticipate risks and take more targeted steps to improve patient safety.

A hospital’s patient safety initiatives are only as effective as the tools used to track and analyze incidents. Despite significant progress over the past two decades following the 2005 Patient Safety and Quality Improvement Act, safety reporting in many organizations still barely scratches the surface of meaningful data collection.

Near-misses and minor harm events often go undetected, removing valuable learning opportunities for clinicians and decision-makers alike. Much like the automotive industry’s investment in blind spot detection,...

Today's Sponsors

Venturous
ZeOmega

Today's Sponsor

Venturous

 
Topics: AI (Artificial Intelligence), Health System / Hospital, Patient / Consumer, Provider, Safety, Technology
The Download: OpenAI’s plans for science, and chatbot age verification
Around the nation: Amazon's One Medical launches new AI chatbot
Physician assistants say paperwork and AI training still lag
More Data Isn’t Always Better for AI Decisions
The Download: why LLMs are like aliens, and the future of head transplants

Share Article