The Essential Checklist for Predictive AI Solutions

With more clinical decision support tools coming to market, understanding the components that separate a good tool from a bad one is essential.

This checklist, created together with leading clinicians and informaticists, details the 10 consistent components every predictive AI tool needs to have to positively impact patient outcomes and build clinician trust.

Download the Checklist

The development of predictive AI tools in healthcare shows tremendous promise in accelerating more accurate diagnoses and improving the safety and quality of healthcare.

However, what’s been lacking is a standard way to evaluate whether or not an AI tool will do what it says it does. As a result, health systems are often left on their own to develop a way to evaluate competing solutions from scratch. It is easy to spend precious hours researching available products, as there are many technical and logistical components to understand.

We created this checklist together with leading clinicians and informaticists detail the 10 consistent components every predictive tool needs to have. 

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