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开发用于初级卫生保健的多变量电子病历整合模型。

Developing a multivariate electronic medical record integration model for primary health care.

作者信息

Lau Francis, Price Morgan, Lesperance Mary

机构信息

School of Health Information Science, University of Victoria, Canada.

出版信息

Stud Health Technol Inform. 2013;183:375-81.

PMID:23388317
Abstract

This paper describes the development of a multivariate electronic medical record (EMR) integration model for the primary health care setting. Our working hypothesis is that an integrated EMR is associated with high quality primary health care. Our assumption is that EMR integration should be viewed as a form of complex intervention with multiple interacting components that can impact the quality of care. Depending on how well the EMR is integrated in the practice setting, one can expect a corresponding change in the quality of care as measured through a set of primary health care quality indicators. To test the face validity of this model, a Delphi study is being planned where health care providers and information technology professionals involved with EMR adoption are polled for their feedback. This model has the potential to quantify and explain the factors that influence successful EMR integration to improve primary health care.

摘要

本文描述了一种针对基层医疗保健机构的多变量电子病历(EMR)整合模型的开发。我们的工作假设是,整合后的电子病历与高质量的基层医疗保健相关联。我们的假设是,电子病历整合应被视为一种具有多个相互作用组件的复杂干预形式,这些组件会影响医疗质量。根据电子病历在实际环境中的整合程度,可以预期通过一组基层医疗保健质量指标衡量的医疗质量会相应发生变化。为了检验该模型的表面效度,正在计划进行一项德尔菲研究,向参与电子病历采用的医疗保健提供者和信息技术专业人员征求反馈。该模型有可能量化并解释影响电子病历成功整合以改善基层医疗保健的因素。

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