Clinical and business intelligence
HIMSS24
Dr. Brian Anderson, CEO, Coalition of Health AI (CHAI), shares the challenges of developing specifications and ethical standards for still-evolving AI technology, as well as how members ensure patient safety remains at the center of discussions.
Bill Kopitke, general manager and head of healthcare at Amazon Business, discusses challenges and solutions to supply chain issues in today's healthcare market.
Senior medical director of digital health and innovation at Johns Hopkins Medicine Dr. Brian Hasselfeld discusses addressing resource issues in healthcare with the help of artificial intelligence.
HIMSS24
J29's Tracy Mills and Nick Vass discuss providing clinical and data analysis support, and bridging gaps between the public and private health sectors.
HIMSS24
Industry leaders and insiders discuss how artificial intelligence will transform healthcare in 2024 and beyond at this year's HIMSS Global Health Conference & Exhibition in Orlando.
HIMSS24
Hal Wolf, president and CEO of HIMSS, discusses what to expect at the 2024 HIMSS Global Health Conference & Exhibition and the global impact on the healthcare community.
Dr. Peter Bonis, chief medical officer at Wolters Kluwer Health, describes the company's AI-enabled software to detect illicit diversion of controlled and non-controlled substances in patient care and the use of AI in its wider portfolio.
HIMSS24
Dr. Jonathan Chen, assistant professor at Stanford Center for Biomedical Informatics Research, previews his upcoming HIMSS24 session on the difficulty of pinpointing what is real in AI and the need for cautious optimism when using it.
HIMSS24
Wolters Kluwer vice president of medical informatics Howard Strasberg highlights the topics he and his colleague will discuss at HIMSS24, including data transfer between EHRs and the cloud and FHIR-based clinical decision support standards.
Amazon Web Services chief medical officer Dr. Jared Saul relays how AWS helps the life sciences sector leverage AI and machine learning for drug discovery, concerns around AI/ML use in healthcare, and the value of regulating the technology.