Data and methods to facilitate delivery system reform: harnessing collective intelligence to learn from positive deviance.
Data and methods to facilitate delivery system reform: harnessing collective intelligence to learn from positive deviance.
复制标题
促进交付系统改革的数据和方法：利用集体智慧从积极的偏差中学习。
DOI：
10.1111/j.1475-6773.2010.01148.x
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发表时间：
2010
影响因子：
3.4
通讯作者：
H. Luft
中科院分区：
文献类型：
--
作者：
H. Luft
研究者通常关注评估政策变化的数据和方法，但数据和方法也可以是政策工具。为了改进，医疗保健系统需要不断收集、评估和处理数据的机制和激励措施。这需要（1）更全面的数据，（2）将数据转化为信息，以及（3）激励应用这些信息。重组后的经济激励措施可以鼓励临床医生为患者增加价值（更高的质量和/或更低的成本）。虽然有必要，但激励措施并不是强制性的，信息也是必要的。激励措施可以引导临床医生要求更好的信息。许多必要的数据已经用于患者护理和计费;一些额外的变量将直接来自患者。这个概念建立在两个概念之上：集体智慧和积极的偏差。前者的特点是通过观察许多独立行动者适应不断变化的情况的行为而获得的知识。积极的偏离者是那些取得比预期好得多的结果的人。通过奖励积极的偏离者，而不是试图识别和“纠正”那些有问题的人，提供者将自愿确定自己和他们实现上级结果的方法。
Researchers often focus on the data and methods to assess policy changes, but data and methods can also be policy tools. To improve, health care systems need mechanisms and incentives for continually gathering, assessing, and acting on data. This requires (1) more comprehensive data, (2) converting data into information, and (3) incentives to apply that information. Restructured economic incentives can encourage clinicians to increase value (higher quality and/or lower cost) for their patients. While necessary, incentives are not sufficient-information is also needed. Incentives can lead clinicians to demand better information. Much of the necessary data is already used in patient care and billing; some additional variables will come directly from patients. The notion builds on two concepts: collective intelligence and positive deviance. The former characterizes knowledge gained from observing the behavior of many independent actors adapting to changing situations. Positive deviants are those who achieve far better results than expected. By rewarding positive deviants, rather than trying to identify and "correct" those who are problematic, providers will voluntarily identify themselves and their methods for achieving superior outcomes.
影响因子：
120.7
作者：
Werner, RM;Asch, DA
通讯作者：
Asch, DA