AI learns from the data and from feedback about its errors. As it discovers trends, predicts events, and recommends actions, it must constantly improve to be of value to health care organizations. AI must also be designed to create a positive user experience, which facilitates both decision support and the collection of feedback to facilitate continuous learning.

Conclusion
This framework represents a starting point for any health care organization looking to deploy artificial intelligence. Whether it is evaluating a point solution for radiology or a platform on which to build specific applications, these five components should be present. By deploying AI along the lines described here, health care organizations can accelerate their journeys to success in value-based care.



About the Author: Gurjeet Singh is executive chairman and co-founder of Ayasdi, an advanced analytics company.

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