Measuring and improving data quality for clinical quality measure reliability

项目摘要/摘要 研究项目：基于可靠电子健康记录(EHR)的临床质量测量(CQM)是 这是评估和衡量医疗质量和提供医疗服务所必需的。它们也是一个至关重要的工具 用于评估旨在改善护理的干预措施的影响。不幸的是，利益相关者有限 CQM可靠性的保证，部分原因是数据质量问题。为了确保可靠性，并通过 扩展，自动化的基于EHR的CQM的有用性，我建议如下：1)生成更好的 了解EHR数据质量和CQM可靠性之间的因果关系；2)提供 利益攸关方具有根据基本数据质量评估CQM可靠性的方法；以及3) 确定供应商批准的改善EHR数据质量的干预措施，以提高CQM的可靠性。 职业目标：我正在寻求国家医学图书馆K01生物医学职业发展奖 信息学有两个主要原因。首先，这个奖项将为我提供一个成为一名 独立研究人员通过该奖项确保并允许我在以下方面发展我的专业知识 主要主题和方法领域。第二，通过拟议的研究，我将提供 利益相关者对CQM可靠性、测量CQM可靠性的方法以及 通过护理点干预提高CQM可靠性的方法，使改进成为可能 临床护理本身。我的长期目标是成为混合方法测量方法方面的专家 并提高EHR数据的质量，从而确保这些数据的可靠和有效重用，以支持 病人护理、病人护理评估和临床研究。 职业发展和培训：我是医学信息学和医学信息学系助理教授 俄勒冈健康与科学大学临床流行病学。通过我的部门和导师，我有了 独特的EHR数据访问级别、现有的CQM计算引擎和各种临床环境。 此次获奖期间的职业发展目标是利用这些资源和我导师的专业知识 巩固我在三个主要领域的知识和方法能力：1)EHR数据质量评估 和改进，2)混合方法，3)医疗保健提供科学。项目，导师， 这份提案中包括的顾问被选中为我提供经验、知识和 专业知识将为我作为一名专门从事这些领域的独立研究人员的职业生涯做好准备，并提供 我有一个申请传统资助机制的基础.具体地说，这样做的目的是 已经制定了建议，以直接导致旨在进行基于电子健康记录和文档级干预的措施 为了提高EHR数据质量、CQM可靠性和临床护理的整体质量，这将是 在此处描述的工作基础上构建的应用程序。

Project Summary/Abstract Research Project: Reliable electronic health record (EHR)-based clinical quality measures (CQMs) are necessary for the assessment and measurement of healthcare quality and delivery. They are also a vital tool for evaluating the impact of interventions meant to improve care. Unfortunately, stakeholders have limited assurance of CQM reliability, due in part to problems with data quality. In order to ensure the reliability and, by extension, the usefulness of automated EHR-based CQMs, I propose the following: 1) generate a better understanding of the causal relationships between EHR data quality and CQM reliability; 2) provide stakeholders with methods for the assessment of CQM reliability, based upon underlying data quality; and 3) identify provider-approved interventions for improving EHR data quality in order to improve CQM reliability. Career Goals: I am seeking a National Library of Medicine K01 Career Development Award in Biomedical Informatics for two primary reasons. First, this award would provide me with an opportunity to become an independent researcher through the protected time the award ensures and allow me to develop my expertise in key subject matter and methodological areas. Second, through the proposed research I will provide stakeholders with a deeper understanding of CQM reliability, methods to measure CQM reliability, and approaches for improving CQM reliability through interventions at the point of care, enabling the improvement of clinical care itself. My long-term goal is to become an expert in mixed-methods approaches for measuring and improving the quality of EHR data, thereby ensuring reliable and valid reuse of these data to support patient care, evaluation of patient care, and clinical research. Career Development and Training: I am an assistant professor with the Department of Medical Informatics & Clinical Epidemiology at Oregon Health & Science University. Through my department and mentors I have a unique level of access to EHR data, an existing CQM calculation engine, and various clinical environments. The career-development goal of this award period is to use these resources and the expertise of my mentors to solidify my knowledge and methodological abilities in three primary areas: 1) EHR data quality assessment and improvement, 2) mixed-methods approaches, and 3) healthcare delivery science. The projects, mentors, and consultants included in this proposal were chosen to provide me with the experience, knowledge, and expertise that will prepare me for a career as an independent researcher specializing in these areas and give me the foundation upon which to apply for a traditional funding mechanism. Specifically, the aims of this proposal have been developed to lead directly to EHR-based and documentation-level interventions intended to improve EHR data quality, CQM reliability, and the quality of clinical care overall, which will be the subject of an application building upon the work described here.