AI

Andrew Eye, cofounder and CEO of ClosedLoop.ai, discusses how AI can improve or increase health disparities, the value of explainable AI and the importance of open algorithms to ensure accuracy and fairness in data integrations.

The approach Connecticut is taking on AI is not to pause it because it has great potential but to keep a close eye on it, states Sumit Sajnani, health information technology officer at the Connecticut Office of Health Strategy.

Also, South Korean researchers have built an AI model for predicting the side effects of immunotherapy on a patient.

Dan Soule, VP of Technology Operations at Health Catalyst, discusses the great strides made in health equity over the last 10 years as well as how AI is finally moving forward with real-world uses.

Sam Seering, product manager of Cheers by Epic, relays the benefits of the company's CRM platform, such as enabling providers to serve patients better by leveraging data points and health insights, and automating patient outreach.

Tami McMasters Gomez, director of Coding and Clinical Documentation Integrity Services at UC Davis Medical Center, sees automation and AI freeing clinicians from the burdens of coding and documentation.

It detects signs of inflammation with over 90% accuracy.

ChatGPT has a lot of potential to improve healthcare, but it lacks the human touch and comes with ethical and legal issues, explains R. Ryan Sadeghian, CMIO of Hunterdon Healthcare System.

Calum Yacoubian, director of healthcare strategy at IQVIA, outlines natural language processing use cases, such as aggregating data for population health initiatives and supporting rare disease diagnoses for precision medicine.