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药学实践中的大数据:当前应用、挑战与未来

Big data in pharmacy practice: current use, challenges, and the future.

作者信息

Ma Carolyn, Smith Helen Wong, Chu Cherie, Juarez Deborah T

机构信息

Department of Pharmacy Practice, The Daniel K Inouye College of Pharmacy, University of Hawai'i at Hilo, Hilo, HI, USA.

出版信息

Integr Pharm Res Pract. 2015 Aug 6;4:91-99. doi: 10.2147/IPRP.S55862. eCollection 2015.

Abstract

Pharmacy informatics is defined as the use and integration of data, information, knowledge, technology, and automation in the medication-use process for the purpose of improving health outcomes. The term "big data" has been coined and is often defined in three V's: volume, velocity, and variety. This paper describes three major areas in which pharmacy utilizes big data, including: 1) informed decision making (clinical pathways and clinical practice guidelines); 2) improved care delivery in health care settings such as hospitals and community pharmacy practice settings; and 3) quality performance measurement for the Centers for Medicare and Medicaid and medication management activities such as tracking medication adherence and medication reconciliation.

摘要

药学信息学被定义为在药物使用过程中使用和整合数据、信息、知识、技术及自动化,以改善健康结果。“大数据”一词已被创造出来,通常从三个维度来定义:体量、速度和多样性。本文描述了药学利用大数据的三个主要领域,包括:1)明智的决策制定(临床路径和临床实践指南);2)在医院和社区药房等医疗环境中改善护理服务;3)为医疗保险和医疗补助服务中心进行质量绩效评估以及药物管理活动,如跟踪药物依从性和药物重整。

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