Haynes R B, Hayward R S, Lomas J
Health Information Research Unit, McMaster University, Hamilton, Ontario, Canada.
J Am Med Inform Assoc. 1995 Nov-Dec;2(6):342-50. doi: 10.1136/jamia.1995.96157827.
Research is producing increasing amounts of important new evidence for health care, but there is a large gap between what this evidence shows can be done and the care that most patients actually receive. An important reason for this gap is the extensive processing that evidence requires before application. This article discusses a three-step model for bridging research evidence to management of clinical problems: getting the evidence straight, formulating evidence-based clinical policies, and applying evidence-based clinical policies at the right place and time. This model is purposely broad in scope and provides a framework for coordinating efforts to support evidence-based medical care. The authors' purpose is to represent the roles of health informatics in the context of the roles of all the key players, including health care researchers and practitioners, health care organizations, and the public. Health informatics has already made important contributions to bridging evidence to practice, including improving evidence retrieval, evaluation, and synthesis; new evidence-based information products; and computerized aids for facilitating the use of these products during clinical decision making. However, much more innovation and coordination are needed. The authors call for health informaticians to pay balanced attention to 1) the quality of evidence embodied in information innovations, 2) the performance of technologies and systems that retrieve, prepare, disseminate, and apply evidence, and 3) the fit of information tools to the specific clinical circumstances in which evidence is to be applied. Effective interdisciplinary teams that include health services researchers and other evidence experts, clinical practitioners, informaticians, and health care managers are needed to achieve success. Informaticians can make increasingly important contributions to the transfer of health care research by joining such teams.
研究正在为医疗保健产出越来越多重要的新证据,但在这些证据所表明的可行措施与大多数患者实际接受的治疗之间存在巨大差距。造成这种差距的一个重要原因是证据在应用前需要进行大量处理。本文讨论了一个将研究证据与临床问题管理相衔接的三步模型:梳理证据、制定基于证据的临床政策,以及在恰当的地点和时间应用基于证据的临床政策。该模型有意涵盖广泛的范围,并为协调各方力量以支持循证医疗提供了一个框架。作者的目的是在包括医疗保健研究人员和从业者、医疗保健组织及公众等所有关键参与者的角色背景下,阐述健康信息学的作用。健康信息学已经在将证据与实践相衔接方面做出了重要贡献,包括改进证据检索、评估和综合;开发新的基于证据的信息产品;以及提供计算机辅助工具以在临床决策过程中促进这些产品的使用。然而,仍需要更多的创新与协调。作者呼吁健康信息学专业人员要均衡关注以下三个方面:1)信息创新所体现的证据质量;2)检索、准备、传播和应用证据的技术与系统的性能;3)信息工具与证据应用所处具体临床环境的契合度。要取得成功,需要组建有效的跨学科团队,其中包括卫生服务研究人员和其他证据专家、临床从业者、信息学专业人员以及医疗保健管理人员。信息学专业人员通过加入这样的团队,可以为医疗保健研究成果的转化做出越来越重要的贡献。