Digital Health
Petra Hoogendoorn, coordinator of EU project Label2Enable, talks about designing labels for healthcare-related apps to ensure clarity and safety for all stakeholders and discusses the project’s work within Europe, the U.S. and beyond.
Anna Dover, director of product management at FDB, formerly First Data Bank, says drug-related clinical decision support alerts pose challenges for prescribers and pharmacists, but technology can optimize the process through refinement.
Dr. John B. Halamka, president of Mayo Clinic Platform, discusses AI's "dizzying" evolution, Mayo’s strategy for approaching predictive AI versus generative AI, and its partnership with Google that practices agile development of AI.
Amir Bozorgzadeh, cofounder and CEO of Virtuleap, which combines neuroscience and virtual reality for brain training, discusses a partnership with Roche to screen for precursors of cognitive impairment.
HIMSS23
Freddie Feldman, director of voice and conversational interfaces at Wolters Kluwer, talks about the potential of using AI and natural language processing for voice interfaces, and about limitations in the answers that generative AI can provide.
HIMSS23
Lumeon Chief Growth Officer Greg Miller discusses reluctance in healthcare leaders to apply automation, but explains that the technology can take over manual, repetitive tasks for physicians while yielding more predictable and reliable outcomes.
HIMSS23
Explore HIMSS23 exhibit floor and what experiences and technologies companies are using to improve the patient and provider experience, including real and animated animal-based therapy, and digitized white boards with patient information.
HIMSS23
David Chen, Shine Technology's director of business development, talks about how HIMSS23 affords him the opportunity to learn more about AI and other cutting-edge digital technologies, and to network with organizations regarding his company's devices.
In a study published in Nature, Google revealed that its generative AI technology answered medically related questions with 92.6% accuracy.
Navin Natoewal of Philips and Jeffrey Schneider at the DoD discuss RATE technology, which utilizes biometric data from wearables and an algorithm to predict COVID-19 and other infections in service members 48 hours before symptoms began.