The Digital Medicine Society (DiMe) and Google Health launched a free online course for medical professionals, researchers, administrators and innovators to learn the fundamentals of generative AI, large language models (LLMs) and the technologies' use cases in healthcare.
The Generative AI for Healthcare course gives stakeholders an understanding of LLMs and their applications in healthcare. Participants will also gain insights into generative AI technology, develop prompt engineering skills and explore how AI can support decision-making in clinical settings.
The course, available to the DiMe community, combines videos, quizzes and hands-on labs. Participants must take a survey before gaining access to the course, and the self-paced course and lab are timed for one hour each.
THE LARGER TREND
Exploring the use of AI within healthcare began in the 1960s and has expanded substantially within the sector, with the technology currently used within precision medicine, drug discovery and development, and robotic surgery.
Although many researchers and experts have deemed the technology promising, it is crucial to address the ethical and societal considerations accompanying AI technology integration.
Healthcare providers must consider proper use cases of the technology in the healthcare setting and have a complete understanding of the tech because, as Harjinder Sandhu, Microsoft's CTO of health platforms and solutions, told HIMSS TV, there are high-value and low-risk use cases and vice versa.
"One of the things that AI systems can do is summarize patients in various contexts depending on who is asking the question and for what purpose," Sandhu said.
"The problem with that is that if the AI system hallucinates information, it makes up information about that patient or it omits important information that can lead to catastrophic consequences for that patient. That's an example of a really high-value but also high-risk use case," he added.
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