Business Intelligence
Hospitals and health systems worldwide are finding their way forward with AI and automation initiatives of varying shapes and sizes. Anne Snowdon, chief research officer at HIMSS, describes the trends she's seeing.
HIMSS Senior Director Robert Havasy shares some of the insights he gained as host of the forum in San Diego this month and discusses what AI stakeholders are focused on as the technology evolves.
The fifth group to do so comprises 11 startups, all helping enable digital innovations in therapeutic delivery - from the supply chain to the patient interface, says Naomi Fried, founder and CEO of the accelerator program.
AI can improve health equity, according to Dr. Michael Howell, chief clinical officer at Google, who will discuss the evolution of the company's medically tuned LLM and make regulatory recommendations for the use of AI in healthcare.
The association seeks more industry collaborations to further promote digital technology adoption among Indonesian health professionals, according to president Dr Mohammad Adib Khumaidi.
Dan Draper, founder and CEO of CipherStash, explains data protection advancements leveraging heuristics and encryption-in-use technologies. He warns of a looming Y2K-like race to update software for quantum safety.
Netherlands-based Direct Diagnostics promotes in-home preventative testing via its highly scalable solution, says CEO and cofounder Elsemieke Hackenitz.
With the unique title of chief information innovation officer, Davis takes a forward-thinking approach to tech advancement. She discusses IT opportunities of standing up a new hospital, as well as provider and patient experience and AI initiatives.
According to I-DAIR's Dr Ricardo Leite, we can reduce the burden of disease by focusing our limited workforce on things we can fix. Going digital makes this possible, so we can shift from "disease systems" to "health systems".
Lynn Carroll, COO of HSBlox, discusses enterprise-level capabilities required for critical inputs into SDOH and other core processes, and the role of AI and machine learning to target the most vulnerable individuals.
