Toward an accelerated adoption of data-driven findings in medicine: Research, skepticism, and the need to speed up public visibility of data-driven findings

被引:3
|
作者
Kartoun, Uri [1 ]
机构
[1] IBM Res, Ctr Computat Hlth, Cambridge, MA 02142 USA
关键词
Clinical informatics; Prediction modeling; Electronic medical records; Machine-learning; Data-mining; Cirrhosis; Liver transplantation; FATTY LIVER-DISEASE; SERUM SODIUM; MELD SCORE; MODEL; MORTALITY; RECORDS; PREDICTION; CIRRHOSIS; SURVIVAL; AGE;
D O I
10.1007/s11019-018-9845-y
中图分类号
B82 [伦理学(道德学)];
学科分类号
摘要
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.
引用
收藏
页码:153 / 157
页数:5
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