The Promise and Peril of Healthcare Forecasting

被引:0
|
作者
Wharam, J. Frank [1 ]
Weiner, Jonathan P. [2 ]
机构
[1] Harvard Univ, Sch Med, Dept Populat Med, Boston, MA 02114 USA
[2] Johns Hopkins Bloomberg Sch Publ Hlth, Baltimore, MD USA
来源
AMERICAN JOURNAL OF MANAGED CARE | 2012年 / 18卷 / 03期
关键词
HIGH-RISK PATIENTS; PREDICTION; MANAGEMENT; MODELS;
D O I
暂无
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Health plans and physician groups increasingly use sophisticated tools to predict individual patient outcomes. Such analytics will accelerate as US medicine enters the digital age. Promising applications of forecasting include better targeting of disease management as well as innovative patient care approaches such as personalized health insurance and clinical decision support systems. In addition, stakeholders will use predictions to advance their organizational agendas, and unintended consequences could arise. Forecasting-based interventions might have uncertain effectiveness, focus on cost savings rather than long-term health, or specifically exclude disadvantaged populations. Policy makers, health plans, and method developers should adopt strategies that address these concerns in order to maximize the benefit of healthcare forecasting on the long-term health of patients.
引用
收藏
页码:E82 / E85
页数:4
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