摘要:自动化医疗算法:医疗差错问题

Kathy A. Johnson, J. Svirbely, M. Sriram, Jack W. Smith, G. Kantor, J. R. Rodriguez
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引用次数: 8

摘要

国家病人安全基金会赞助了一份报告,描述了目前在减少医疗差错方面正在进行的研究,并确定了这方面的差距总共确定了23项差距,其中包括需要在通讯和信息共享领域进行更多的研究。我们认为有必要探索的领域之一是以医疗算法形式发布的大量信息。集中和自动化医疗算法是在广泛的临床护理提供者之间共享信息的一种方式。此外,医疗算法的自动化有助于正确选择(减少计划错误)和应用该信息(减少执行错误)。…
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Poster Abstract: Automated Medical Algorithms: Issues for Medical Errors
The National Patient Safety Foundation has sponsored a report to describe the current research being pursued in the area of medical error reduction and to identify the gaps in this effort.1 A total of 23 gaps were identified—among them was a need for more research in the area of communication and information sharing. One of the areas that we see a need to explore is the wealth of published information in the form of medical algorithms. Centralizing and automating medical algorithms is one way to share information among a wide range of clinical care providers. Furthermore, automation of medical algorithms assists in the correct selection (reducing errors of planning) and application of that information (reducing errors of execution). The …
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