Earlier this year, patients treated by an AI chatbot for some common mental health challenges got better. This was significant because the patients were part of the first randomized and controlled trial for this type of AI intervention. 

The Joint Commission is partnering with the Coalition for Health AI to scale AI accountability. The project will supply more than 80% of U.S. provider orgs with gameplans, toolkits and overall guidance. 

To maximize returns on AI investments, healthcare organizations should align AI initiatives with core competencies. The effort should focus on optimizing experiences for workforces as well as patients. 

On the technical and ethical planes, the National Academy of Medicine’s fresh guidance may represent the best way yet to ensure alignment of healthcare AI stakeholders.

The shoulders on which healthcare AI stands span from the advent of the World Wide Web, email and electronic medical records to the ubiquity of smartphones, patient portals, telehealth and personal health wearables. 

If doctors are the heart of the hospital, nurses are surely the soul. And if that’s so, today’s AI has to be something like a nutritional supplement for the brains of the operation.

A new review of the relevant scientific literature suggests many if not most patients are aware that healthcare AI’s emerging benefits exist side-by-side with its persistent uncertainties. 

We’re either teetering at the edge of AI overlordship—or just working with new tech tools that do the same old computer-y things we’ve always done. So which is it?