I am currently working to expose the relationships between AI and Learning Health Systems (LHS). More specifically, I am focused on why LHS and AI need to each in order for each to realize its full potential to drive health improvement. AI needs LHS infrastructure as a persistent means to 'land" AI applications in health care environments, just as aircraft need the full capabilities of a modern airport in order to land safely under all conditions. In turn, LHS needs AI applications to power the data driven interventions that can improve health at scale.
My lab is working on methods for integrating genAI and pure-function models to take advantage of the best features of each. We posit that genAI will never (and probably should never) replace the straightforward functionality of sophisticated calculators, predictive models, computable clinical guidelines, and computable phenotypes. At the same time, genAI could be extremely useful for such purposes as finding the best pure function to use in a particular situation, comparing them, and contrasting them.
I would like to help Learning Health Systems and AI achieve their full potential by working in harmony, and in a way consistent with the goal of making people better.