Decision Support

A new report from the Duke-Margolis Center for Health Policy explores some of the policy changes that should be made to enable safer and more effective deployment of artificial intelligence in healthcare.

Thanks to consumerism in the healthcare industry, providers are looking to improve patient experience and satisfaction in their care. HIMSS19 attendees who are focused on this topic for their organizations should check out these curated sessions and events.

As machine learning rapidly expands into healthcare, the ways it "learns" may be at odds with clinical outcomes unless carefully controlled for, a new study shows.

Last week, Deqing county hospital in Guangdong Province launched free consultations featuring artificial-intelligence (AI) cameras to detect ocular fundus diseases, which are major causes of blindness, according to a report by Xinhua News.

Big Blue's collaboration the nation's largest Parkinson's foundation aims to apply AI to a vast dataset with the aim of learning more about how the disease grows.

“I think the biggest trend (in healthcare) is towards greater integration.

Artificial intelligence can help support and guide care providers' decision-making processes in an era of increasing volume and complexity of data in clinical situations, says Dimitri Fane, director of product management of TrakCare at InterSystems.  

Its homegrown Canopy system is an example of the type of platform that value-based models of the future will need to deliver evidence-based care in a complex care ecosystem.

Partners HealthCare researchers show how they mine override comments to detect areas where clinical decision support systems could be improved.