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Large language models in healthcare need training and results need checking
HIMSS23 Europe

Large language models in healthcare need training and results need checking

7:06

Harvey Castro, author of "ChatGPT and Healthcare" explains how large language models trained mainly on healthcare content could potentially give better results than general purpose models, but still need human intervention to double-check results.

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HIMSS23 Europe - Similar Videos View more in HIMSS23 Europe

6:45

(Sponsored) Elevating Healthcare: EMRAM Adoption at Lusíadas Saúde

Lusíadas Saúde Health Group needed to measure and improve performance per its strategic goals and chose EMRAM to navigate their hospitals through digital maturity, moving from intuitive to evidence-based management, according to CCIO Dr Ana Prado.

(Sponsored) Elevating Healthcare: EMRAM Adoption at Lusíadas Saúde
Lusíadas Saúde Health Group needed to measure and improve performance per its strategic goals and chose EMRAM to navigate their hospitals through digital maturity, moving from intuitive to evidence-based management, according to CCIO Dr Ana Prado.
6:45
7:22

Digital systems support remote care but better process is more important than gadgets

Jacqueline de Leeuw, CNIO at Radboud University Medical Centre (Radboudumc), explains the organization's motto "HIMSS 7-up" and how it has 200+ "digital nurses" innovating improved care processes.

Digital systems support remote care but better process is more important than gadgets
Jacqueline de Leeuw, CNIO at Radboud University Medical Centre (Radboudumc), explains the organization's motto "HIMSS 7-up" and how it has 200+ "digital nurses" innovating improved care processes.
7:22
4:34

Education needs to keep up with key innovation trends

Quy Vo-Reinhard, dHealth Foundation director and cofounder, explains how technologies like blockchain and smart contracts may underpin EMRs of the future, but for regulators and users to keep up, there needs to be an emphasis on education.

Education needs to keep up with key innovation trends
Quy Vo-Reinhard, dHealth Foundation director and cofounder, explains how technologies like blockchain and smart contracts may underpin EMRs of the future, but for regulators and users to keep up, there needs to be an emphasis on education.
4:34