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Michelle Stansbury, associate chief innovation officer at Houston Methodist, talks about how the hospital has built a more engaging patient experience, from scheduling to interactive bedside technology to post-discharge texting.
Nick Yaitsky, chief AI officer at Lulav AI, says that AI is present in many healthcare technologies, so organizations must shift their conversations from whether to adopt AI to how they can best use it to improve patient care.
Andrew Kelly, ENHANCE Ontario's chief digital officer, discusses how the nonprofit is building a Safe Use of AI framework to help its seven member hospitals consistently evaluate and scale AI projects that deliver value.
Don Woodlock, InterSystems president and host of the "Code to Care" video series, recommends that healthcare leaders carve out at least an hour a week to learn about and build practical familiarity with emerging technologies.
By building AI tools in-house, health systems can directly address their unique challenges with tailored products rather than depending on vendors, according to Lina Scroggins, Mercy's chief product officer.
Mass General Brigham is using AI tool RECTIFIER to identify clinical trial participants, which can help accelerate the discovery of new treatments, says Dr. Alexander "AJ" Blood, cardiologist at Brigham and Women's Hospital.
Kevin Day, Rhapsody CTO, shares lessons from building a healthcare AI agentic harness, including how organizations can decide whether to build or buy, as well as how to maintain agility and embed governance into AI initiatives.
Hal Wolf, HIMSS president and CEO, says that, while many healthcare leaders are eager to use AI, questions remain about how to ensure its outputs are accurate and how to build clinicians' and patients' trust in AI tools.
Hal Wolf, HIMSS president and CEO, says that hospitals and medical practices are turning to AI first to help with areas such as clinical documentation and supply chain management before considering applying it to care delivery.
HIMSS AI in Healthcare Forum attendees in Boston shared ideas on how to develop and scale AI across real-world clinical and operational settings while benefiting patients, clinicians and staff.