Clinical decision support systems for the practice of evidence-based medicine
Clinical decision support systems for the practice of evidence-based medicine
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DOI：
10.1136/jamia.2001.0080527
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发表时间：
2001-11-01
影响因子：
6.4
通讯作者：
Tang, PC
中科院分区：
文献类型：
--
作者：
Sim, I;Gorman, P;Tang, PC
背景资料：使用临床决策支持系统来促进循证医学的实践有望大大提高医疗质量。目的：根据2000年AMIA春季研讨会上的证据和决策支持轨道的会议记录，描述在机器可解释的知识库中捕获基于研究和实践的证据的研究和政策挑战，并提出加快循证医学临床决策支持系统开发和采用的建议。结果：这些建议分为五个广泛领域--在机器可解释的知识库中捕获基于文献和基于实践的证据;为基于计算机的决策支持奠定主要的技术和方法基础;评估临床决策支持系统的临床效果和成本，以及临床决策支持系统影响专业和组织的方式实践;识别和传播工作流敏感的临床决策支持系统的实施的最佳实践;并建立公共政策，提供激励措施，实施临床决策支持系统，以提高医疗质量。结论：虽然承诺的临床决策支持系统促进循证医学是强大的，大量的工作仍有待完成，以实现潜在的好处。
Background: The use of clinical decision support systems to facilitate the practice of evidence-based medicine promises to substantially improve health care quality.Objective: To describe, on the basis of the proceedings of the Evidence and Decision Support track at the 2000 AMIA Spring Symposium, the research and policy challenges for capturing research and practice-based evidence in machine-interpretable repositories, and to present recommendations for accelerating the development and adoption of clinical decision support systems for evidence-based medicine.Results: The recommendations fall into five broad areas-capture literature-based and practice-based evidence in machine-interpretable knowledge bases; develop maintainable technical and methodological foundations for computer-based decision support; evaluate the clinical effects and costs of clinical decision support systems and the ways clinical decision support systems affect and are affected by professional and organizational practices; identify and disseminate best practices for work flow-sensitive implementations of clinical decision support systems; and establish public policies that provide incentives for implementing clinical decision support systems to improve health care quality.Conclusions: Although the promise of clinical decision support system-facilitated evidence-based medicine is strong, substantial work remains to be done to realize the potential benefits.