Decision Support

An AI chatbot is helping clinicians explain how artificial intelligence models, fueled by evidence-based healthcare data, can speed research advancements and improve patient access.

It has also been validated for Stage 7 of the HIMSS INFRAM.

And that's just one of the many artificial intelligence use cases Chief Health AI Officer Karandeep Singh is focused on with his team. He offers a closer look at some of the health system's other AI priorities.

Also, the South Korean government will pilot an electronic system to maintain the patient medical records at shuttered health facilities. 

It features speech-to-text and an AI that identifies high-risk findings from slide images.

A pilot validation study found that the AI helped hasten case reviews and data analysis and determine the necessity of antibiotic use.

The research shows how data integrity issues at every stage – training, model development, publication, implementation – can adversely impact patient outcomes, say clinicians at Yale School of Medicine.

Also, the Victorian Virtual Emergency Department has launched a new patient portal which already helped reduce duplicate records by a tenth.

In a letter to the FDA, members of Congress cite confusion over providers' deployment of clinical decision support software that is exempt from medical device regulations and call for clarity from its Center for Devices and Radiological Health.

From preoperative planning and intraoperative guidance to visualization and predictive analytics, AI has many new roles to play to help surgeons do their best work.