It was exciting to collaborate with Dr. Gareth Sessel, a physician entrepreneur and electrical engineer who specializes in digital health. Check out his website: www.garethsessel.com. Artificial intelligence (AI) is associated with significant hype, and the phrase is commonplace in the business plans and project proposals of both startups and long-established corporations. Through critical thinking and discussion, we can understand the actual, real-world impacts that these technologies bring to healthcare delivery. In this blog post, we will explain the basic technologies, describe their roles in primary care, and call for primary care physicians (PCPs) to embrace and contribute towards the development of these technologies in the healthcare space.
Sep 2, 2022·edited Sep 2, 2022Liked by Paulius Mui, MD
Nice intro. One other thing that I mention when talking with physicians about defining AI is to contrast Automation and Intelligence. (I cannot remember the place I first read this, so I am missing the appropriate credit of the idea) Automation is being able to perform a task when all the variables are known before the task is started. Intelligence is when the task can be performed when not all the variables are known upfront. The agent can adjust to wildly complex sets of variables and can adapt to things never before seen. Just think about trying to automate creating an office note; the permutations of what could transpire are near endless. That is why automation in note creation is not sufficient. Intelligence embedded is why I have more hope for AI/ML than traditional EHRs.
Nice intro. One other thing that I mention when talking with physicians about defining AI is to contrast Automation and Intelligence. (I cannot remember the place I first read this, so I am missing the appropriate credit of the idea) Automation is being able to perform a task when all the variables are known before the task is started. Intelligence is when the task can be performed when not all the variables are known upfront. The agent can adjust to wildly complex sets of variables and can adapt to things never before seen. Just think about trying to automate creating an office note; the permutations of what could transpire are near endless. That is why automation in note creation is not sufficient. Intelligence embedded is why I have more hope for AI/ML than traditional EHRs.
Great explanation of the different types of AI & ML out there, very enlightening. I had not really grasped that there were those differences before.