The MoneyBall solution to the healthcare crisis

Many recent articles have suggested different reforms for healthcare to reduce costs. These spanned the integration of digital health with clinical care, the widespread use of genetic and genomic tests to differentiate high-risk from low-risk patients and to inform drug development and prescribing decisions, and the use of artificial intelligence (AI) and cognitive computing like IBM’s Watson or Google’s DeepMind. Others have suggested tackling health insurance by repealing the ACA or moving to a single-payer system with the hope of substantial cost savings. But to significantly tackle out-of-control health spending, we need to motivate organizations by making the business case for change and implement data-driven methods that can make a substantial impact on the healthcare crisis—what we call MoneyBall Medicine.

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