HIMSS TV
Cochairs of FHIR at Scale Taskforce (FAST), Deepak Sadagopan and Duncan Weatherston, outline how FAST helps roll out FHIR nationally to ensure interoperability of security, privacy and identity by various healthcare stakeholders.
Jacqueline de Leeuw, chief nurse innovation officer at Radboud University Medical Centre (Radboudumc), tells how the hospital achieved HIMSS EMRAM Stage 7, allowing its nurses to access a seamless data flow from multiple external sources.
Professor David Lowe of the Scottish government discusses use cases of AI, including lung cancer detection, and the legal and ethical considerations around adopting AI.
Dr. Adam Landman, chief information officer at Mass General Brigham, relays how generative AI and LLM technology are changing the healthcare workforce burden and how these scalable solutions improve efficiencies within the health system.
Ryan Helon, VP of investment funds at Rev1 Ventures, discusses how the firm plans to invest $30 million in growing life sciences startups within the central Ohio region. He describes the resources it and its partners provide to companies.
Gill Margolin, CTO of Talkspace, relays how machine learning algorithms have been trained in suicide risk and crisis identification and how the company measures its effectiveness in strengthening the patient/therapist relationship.
Francine de Stoppelaar, Hospital Wide Operational Activation Lead of Cleveland Clinic London, tells how the private hospital built a native digital system through years of preparation, and the challenges and rewards that came with the build.
Hans Hioyos, field CISO of Prophecy, Americas, discusses how the cybersecurity forum helped him advance his learning of the various layers of security and expand his network as a cybersecurity specialist in the medical field.
Dr. Aalpen Patel, chair of radiology and medical director of AI at Geisinger, explains when to use AI in clinical and administrative care and how Geisinger employs the tech for population health using preventative screening prediction models.
Toni Laracuente, SVP and head of analytics for HIMSS, discusses the Infrastructure Adoption Model (INFRAM), which weighs care-delivery environment functionalities to ensure systems get the highest value from digital health infrastructure.