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.
The rest of this my piece is published here: https://medcitynews.com/2017/10/whats-key-efficient-ivd-development/
Sorry for the redirection, but since it is being published I want to make sure I point everyone in the right direction. If you do like the piece, please let me know here and I can write more on this topic or similar topics.