Unlocking the Future of Healthcare: What Is ‘Computable Biomedical Knowledge’ & Why It Matters 🧬

Presenter: Prof Jeremy Wyatt DM FRCP (FCI Founding Fellow; emeritus professor of Digital Healthcare, University of Southampton; chair of FCI AI Special Interest Group & former chair, European Society for AI in Medicine)

AI has been around since before the 1956 Dartmouth workshop, and it was already clear then that several different forms of AI would be important, including machine learning of algorithms from data and symbolic representations for use in reasoning.

This webinar focuses on the second of these, symbolic representations or “computable knowledge”. Building on the work of the American Mobilising Computable Biomedical Knowledge (MCBK) activity and a recent MCBK workshop here supported by FCI, we will explore:

1. The evidence that knowledge-based decision support systems improve medical decisions
2. The definition of computable, as opposed to human readable, knowledge
3. How such knowledge is already used in a wide range of software tools in healthcare
4. Current challenges around acquiring computable knowledge
5. The MCBK vision for how a global library of computable knowledge objects could address some of these challenges
6. Some technical and other barriers that need to be overcome to realise this vision

This webinar should be of interest to anyone who is concerned about improving clinical decisions and quality improvement in healthcare.

The Chair of the webinar is responsible for the content and views expressed in the webinar.