Comparative-Effectiveness Research in Distributed Health Data Networks

被引：50
|
作者：
Toh, S. [1 ,2 ]
Platt, R. [1 ,2 ]
Steiner, J. F. [3 ]
Brown, J. S. [1 ,2 ]
机构：
[1] Harvard Univ, Sch Med, Dept Populat Med, Boston, MA 02215 USA
[2] Harvard Pilgrim Hlth Care Inst, Boston, MA USA
[3] Kaiser Permanente Colorado, Inst Hlth Res, Denver, CO USA
来源：
CLINICAL PHARMACOLOGY & THERAPEUTICS | 2011年 / 90卷 / 06期
基金：
美国医疗保健研究与质量局;
关键词：
RANDOMIZED-TRIAL; PUBLIC-HEALTH; ASTHMA-CARE; OUTCOMES; SAFETY; EDUCATION; QUALITY; DESIGN;
D O I：
10.1038/clpt.2011.236
中图分类号：
R9 [药学];
学科分类号：
1007 ;
摘要：
Comparative-effectiveness research (CER) can be conducted within a distributed health data network. Such networks allow secure access to separate data sets from different data partners and overcome many practical obstacles related to patient privacy, data security, and proprietary concerns. A scalable network architecture supports a wide range of CER activities and meets the data infrastructure needs envisioned by the Federal Coordinating Council for Comparative Effectiveness Research.
引用
收藏
页码：883 / 887
页数：5
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