The key to successfully leveraging artificial intelligence (AI) in healthcare rests not wholly in the technical aspects of predictive and prescriptive machines but also in change management within healthcare organizations. Better adoption and results with AI rely on a commitment to the challenge of change, the right tools, and a human-centered perspective.
To succeed in change management and get optimal value from predictive and prescriptive models, clinical and operational leaders must use three perspectives:
Functional: Does the model make sense?
Contextual: Does the model fit into the workflow?
Operational: What benefits and risks are traded?