美国医院中条形码、射频识别、生物识别和药房自动化技术的现状与趋势。
The State and Trends of Barcode, RFID, Biometric and Pharmacy Automation Technologies in US Hospitals.
作者信息
Uy Raymonde Charles Y, Kury Fabricio P, Fontelo Paul A
机构信息
National Library of Medicine, Bethesda, MD 20894.
出版信息
AMIA Annu Symp Proc. 2015 Nov 5;2015:1242-51. eCollection 2015.
The standard of safe medication practice requires strict observance of the five rights of medication administration: the right patient, drug, time, dose, and route. Despite adherence to these guidelines, medication errors remain a public health concern that has generated health policies and hospital processes that leverage automation and computerization to reduce these errors. Bar code, RFID, biometrics and pharmacy automation technologies have been demonstrated in literature to decrease the incidence of medication errors by minimizing human factors involved in the process. Despite evidence suggesting the effectivity of these technologies, adoption rates and trends vary across hospital systems. The objective of study is to examine the state and adoption trends of automatic identification and data capture (AIDC) methods and pharmacy automation technologies in U.S. hospitals. A retrospective descriptive analysis of survey data from the HIMSS Analytics® Database was done, demonstrating an optimistic growth in the adoption of these patient safety solutions.
安全用药实践标准要求严格遵守给药的五项权利
正确的患者、药物、时间、剂量和途径。尽管遵循了这些指导原则，但用药错误仍然是一个公共卫生问题，这促使人们制定了卫生政策和医院流程，利用自动化和计算机化来减少这些错误。文献表明，条形码、射频识别、生物识别和药房自动化技术通过最大限度地减少流程中涉及的人为因素，降低了用药错误的发生率。尽管有证据表明这些技术有效，但不同医院系统的采用率和趋势各不相同。本研究的目的是考察美国医院自动识别与数据采集（AIDC）方法和药房自动化技术的现状及采用趋势。对HIMSS Analytics®数据库的调查数据进行了回顾性描述分析，结果表明这些患者安全解决方案的采用情况呈乐观增长态势。
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