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Despite the hype, this buzzing AI will still have to prove its worth for Asia's cautious hospitals, says one health tech vendor.
Dr. Benoit Desjardins, professor of radiology at Penn Medicine, examines the intersection between cybersecurity and radiology and how AI is revolutionizing both disciplines to help fight hackers extorting healthcare facilities.
Matt Cybulsky, founder and consultant at Ionian Healthcare Consulting, discusses how healthcare providers can use AI and ML to improve value-based care and enhance predictive care to help change patient behavior and improve outcomes.
Clinical consultant at Beckman Coulter Diagnostics Sophia Henry discusses the HIMSS AI panel she participated in on responsible AI, navigating ethical considerations and using the tech to decrease nurse burnout and improve patient outcomes.
AI is another tool in a provider's kit to help solve care challenges, but the difference is that it learns, says Dr. Rebecca Mishuris, CMIO and VP at Mass General Brigham. Thus, it is imperative to consider principals when deploying genAI.
Rachini Moosavi, University of North Carolina Health chief analytics officer, relays how UNC began developing AI in 2016, deploying the tech within clinical and financial operations, and how providers have responded to AI implementation.
Albert Marinez, chief analytics officer at Cleveland Clinic, relates how the health system uses AI to ease provider workflow, the responses it has received from physicians and lessons learned throughout the implementation process.
Providers are responsible for navigating variable coverage schemes while caring for patients, says Jay Rughani, investment partner at Andreessen Horowitz. AI and LLMs advancements can help fix this trajectory and reduce administrative burnout.
Cybersecurity officers are up against well-equipped adversaries like crime syndicates, says Richard Staynings, chief security strategist at Cylera. AI can help automate and improve cybersecurity tools if adequately implemented.
Updesh Dosanjh, practice leader of technology solutions for lQVIA, discusses ensuring fairness while using AI in clinical trials, the value of digital twins and the necessity of building and consistently adapting frameworks around AI use.