Artificial Intelligence

It also looks to expand the application of the AI model to predict a patient's length of hospital stay.

Deploying the model with EHR data could help address cancer patient navigator burnout. The process could be scaled to serve all oncology patients in need, a retrospective simulation study showed.

Open algorithms, explainable AI and thoughtful approaches to understanding and addressing the health equity of sub-cohorts end the legacy argument that AI is a "black box," says Andrew Eye, cofounder and CEO of ClosedLoop.ai.

Clinicians at Outbreaks Near Me, an initiative of Boston Children’s Hospital, say that remarkable findings from their new research on artificial intelligence points to its growth potential in healthcare. They unpack more of the survey here.

By expanding DAX Express, hosted in Microsoft's Azure OpenAI, into EHR workflows, the goal is to reduce "what used to be hours of time for clinical documentation to mere seconds," says one CIO.

A big one is identifying a patient's social needs in order to provide early intervention, says Sumit Sajnani, health information technology officer at the Connecticut Office of Health Strategy.

Instead of spending time searching through training libraries, UNC Health team members can quickly access references that streamline their administrative burdens by leveraging OpenAI services on Microsoft Azure.

Northwell Health is using an AI-enabled security system, its CEO explains, and its Center for Gun Violence Prevention is researching other hospital-based violence intervention strategies.

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.