artificial intelligence

Natural language processing, a type of AI, reviews a massive number of healthcare documents to help two U.S. military health IT experts do their work more efficiently.

Wendy Paul, medication process architect at Seattle Children's Hospital, and Kyle Longhurst, product manager at Pariveda, preview their HIMSS23 discussion on a discharge medication error quality improvement project.

Artificial intelligence and machine learning bring up questions of transparency, efficacy and safety that boards must face, according to Berkeley Research Group managing director Tom O’Neil.

Health organizations should deploy AI to automate tasks like appointment scheduling and claims coding, says Kimberly Hartsfield, VisiQuate's EVP for growth enablement.

A look ahead with Judy Jiao, CIO of National Government Services, who also gives insights on precision medicine advancements and more.

According to Patty Riskind, CEO of Orbita, positive experiences with self-service chatbots can improve reliance on AI and automation.

NLP can assist greatly with social determinants of health, real-time clinical decision support, predictive analytics and precision medicine, says Dr. Calum Yacoubian, IQVIA's director of healthcare strategy.

Professors from the Samsung Medical Center explain their work with the South Korean government to transform hospitals into data-driven, research-centered institutions delivering excellent care.

Grace Chang, cofounder and CEO of Kintsugi, says that the use of machine learning voice and biomarker technology can help spot clinical depression and anxiety in regular health discussions.

It is crucial for hospitals to create systemic changes for population health management as an end goal for AI, according to Dr. Dhesi Raja, vice chair of the Board of Advisory at HIMSS Asia-Pacific.