Artificial Intelligence

Applying the AI model could improve the speed to care for critically ill patients by almost two days, resulting in better patient outcomes and shorter hospital stays, say USC researchers in a new study.  

What must provider CIOs and other health IT leaders consider while moving forward with AI? Dr. Blackford Middleton, a preeminent figure in health IT who now is working on learning health systems, has the answers.

To accelerate enterprise innovation, the new AWS Generative AI Innovation Center will connect the cloud provider's machine learning and artificial intelligence experts with customers and partners.

One of the contact center vendor's top executives explains how it's using generative AI with patients – and where employees must be cautious.

There are some key clinical and financial use cases already showing their worth – but while innovation around artificial intelligence is happening rapidly, there's risk in moving too quickly, one physician expert cautions.

The free validation service, funded by the Gordon and Betty Moore Foundation, will run algorithms against a large representative holdout dataset and provide a confidential performance report.

Dr. Don Rucker, now chief strategy officer with 1upHealth, weighs in on where TEFCA is headed and his fundamental concerns about veering away from the way the rest of industry computes.

Dan Soule, VP of technology operations at Health Catalyst, reflected back on health equity 10 years ago and today's emergence of real-world uses for AI while attending his 50th HIMSS event.

Sam Seering, product manager of Cheers for Epic, talks about expanding engagement with patients, and how a switch to automated outreach saved one provider $37K, while addressing a care gap.

Automation is bridging the gap between clinical and coding and documentation, says Tami McMasters Gomez, director of coding and clinical documentation integrity services at UC Davis Medical Center.