Toward an accelerated adoption of data-driven findings in medicine
To accelerate the adoption of a new method with a high potential to replace or extend an existing, presumably less accurate, medical scoring system, evaluation should begin days after the new concept is presented publicly, not years or even decades later. Metaphorically speaking, as chameleons capable of quickly changing colors to help their bodies adjust to changes in temperature or light, health-care decision makers should be capable of more quickly evaluating new data-driven insights and tools and should integrate the highest performing ones into national and international care systems. Doing so is essential, because it will truly save the lives of many individuals.
KeywordsClinical informatics Prediction modeling Electronic medical records Machine-learning Data-mining Cirrhosis Liver transplantation
The author received honoraria and travel funding from The American Association for the Study of Liver Diseases (October 2017).
Compliance with ethical standards
Conflict of interest
The author has declared that no competing interests exist. The author confirms that the commercial affiliation with IBM does not alter his adherence to all Medicine, Health Care and Philosophy policies.
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