Measuring and improving data quality for clinical quality measure reliability

测量和提高临床质量测量可靠性的数据质量

• 批准号: 9761576
• 负责人: Nicole Gray Weiskopf
• 金额: $ 15.11万
• 依托单位: OREGON HEALTH & SCIENCE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-15 至 2021-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9761576
• 关键词: Administrator; Affect; Area; Award; Behavior; Cardiology; Caring; Clinical; Clinical Data; Clinical Research; Clinical assessments; Data; Data Quality; Data Sources; Documentation; Electronic Health Record; Ensure; Environment; Error Sources; Evaluation; First Independent Research Support and Transition Awards; Foundations; Funding Mechanisms; Goals; Gold; Health Sciences; Healthcare; Heart failure; Institution; Insurance Carriers; Intervention; Interview; K-Series Research Career Programs; Knowledge; Lead; Logic; Manuals; Measurement; Measures; Medical Informatics; Mentors; Methodology; Methods; Oregon; Patient Care; Patient Self-Report; Patients; Performance; Planning Theory; Policy Maker; Process; Provider; Quality of Care; Records; Reporting; Research; Research Personnel; Research Project Grants; Resources; Sampling; Science; Structure; Surveys; Time; Training; Trees; Trust; United States National Library of Medicine; Universities; Update; Work; base; biomedical informatics; career; career development; clinical care; clinical epidemiology; clinical predictors; computerized; data integration; electronic structure; experience; health care delivery; health care quality; improved; member; point of care; professor; tool

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.

项目摘要/摘要 研究项目：可靠的电子健康记录（EHR）的临床质量指标（CQM）为 评估和测量医疗保健质量和交付所必需的。他们也是重要的工具 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，部分是由于数据质量问题。为了确保可靠性以及 扩展，基于EHR的CQM的有用性，我提出以下建议：1）生成更好的 了解EHR数据质量与CQM可靠性之间的因果关系； 2）提供 利益相关者采用基于基本数据质量的CQM可靠性评估的方法； 3） 确定提供者批准的干预措施，以提高EHR数据质量，以提高CQM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 信息学是两个主要原因。首先，这个奖项将为我提供成为一个 独立研究人员通过受保护的时间确保了奖项，并允许我发展自己的专业知识 关键主题和方法论领域。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可靠性的方法有更深入的了解以及 通过干预措施在护理点上提高CQM可靠性的方法，以改进 临床护理本身。我的长期目标是成为混合方法的专家 并提高EHR数据的质量，从而确保可靠且有效的这些数据支持以支持 患者护理，患者护理评估和临床研究。 职业发展和培训：我是医学信息学系的助理教授 俄勒冈健康与科学大学的临床流行病学。通过我的部门和导师，我有一个 唯一访问EHR数据，现有的CQM计算引擎和各种临床环境的水平。 这个奖项期间的职业发展目标是使用这些资源和导师的专业知识 巩固我在三个主要领域的知识和方法学能力：1）EHR数据质量评估 和改进，2）混合方法方法，以及3）医疗保健科学。项目，导师， 选择了本提案中包括的顾问，以为我提供经验，知识和 专业知识将使我为专门研究这些领域的独立研究人员做好准备，并提供 我是申请传统资金机制的基础。具体而言，目的 已经开发了提案，直接导致基于EHR的文档和文档级干预措施 提高EHR数据质量，CQM可靠性以及总体上的临床护理质量，这将是 基于此处描述的工作的申请。