AI

The organizations will co-develop AI playbooks, tools, a new certification program and best practices for health AI.

The burden then shifts to hospitals, which puts clinicians in a tough spot, relying on AI that might not generalize, with no real way to track performance or course correct – that's an unacceptable blind spot, says one healthcare AI governance expert.

The Health Data Hub's Pauline Cohen explains that the SHAIPED project will assist AI-enabled medical device manufacturers in obtaining health data for model training while maintaining regulatory compliance.

Mike Reagin says the health system is gaining provider satisfaction from an in-house digital assistant that helps with tasks such as summarizing documents, and its ambient voice technology has enabled productivity gains.

As phishing tactics evolve, healthcare organizations need to act quickly to shore up defenses and close the gaps that attackers are exploiting. That shift needs to start now.

High levels of adoption and continuous optimisation are crucial in realising EMR benefits. 

Real-time decision support demands an IT network that can handle the volume and velocity of clinical data, while maintaining trust and reliability so clinicians can act on AI recommendations.

Lori Walker, Presbyterian Healthcare Services' CMIO, says artificial intelligence that summarizes rural patients' multiple health challenges and social determinants for consumption during 30-minute patient visits is reducing cognitive burdens.

Makati City has invested over $60 million to launch an integrated 24/7 digital healthcare system. 

Also, Te Whatu Ora Health New Zealand has started implementing a new mobile emergency response module.