Clinical and business intelligence
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.
The employer health tech company and healthcare services administrator will combine to create an extensive employer-focused health platform.
Companies will have access to real-world patient data for clinical decision-making and research support, including hypothesis testing and cohort analysis.
Munjal Shah, CEO and cofounder of Hippocratic AI, shares the difference between his company's large language model and Google and ChatGPT's LLMs – and the benefit of partnering with health systems while developing the model to ensure efficacy.
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.
HIMSS23
HIMSS23 attendees discuss the conference post-pandemic, how attending helps explore new pathways for their company, and what technologies they look forward to learning about most on the exhibit floor.
Dr. Payel Das, principal research staff member and manager in the Trusted AI department of IBM, and an IBM master inventor, relays how using large language models that fill gaps in datasets may improve drug discovery in the future.
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.
Naomi Fried, founder and CEO of PharmStars, discusses the 13 startups from its spring cohort and its call for applications for its fall 2023 cohort, Digital Innovations in Therapeutic Delivery: Supply Chain to the Patient Interface.
HIMSS23
Dan Soule, VP of Technology Operations at Health Catalyst, discusses the great strides made in health equity over the last 10 years as well as how AI is finally moving forward with real-world uses.