AI Doctor

CHAPTER 13The Business Model for Buyers of Health AI Solutions

WHICH OF THE USE CASES we've mentioned will actually be relevant and of high value to the intended users? The reality is that some of the artificial intelligence (AI) applications we've discussed are nice to have while others are urgently needed. Here, we'll try to examine which of the many use cases will solve problems that need solving right now and will provide immediate boost to the business models of the buyers. Will the quantification of ejection fraction (EF) on echocardiograms using computer vision be something that cardiologists want and that medical centers will spend money on? Will physicians use ambient intelligence to lessen the burden of note‐taking, placing orders, and making referrals? Ultimately, AI, as with any other technology, is worth buying if it creates meaningful return on investment (ROI). This can be in the form of saved dollars, better patient outcomes, improved workflow for the staff, and more. As such, the business case analysis for any health AI application is its own bottoms‐up analysis. Here, we will examine what use cases may provide strong ROI now and in the medium and long terms. And, we will discuss how to approach this analysis for each use case.

If AI applications can perform to an acceptable level and the various barriers such as data issues, disparate systems, bias, and local training can be solved, what use cases are compelling enough today for immediate adoption? We've reviewed ...