Advancing Quality and Outcomes Measurement in Rheumatology

项目摘要 随着电子健康记录（EHR）的广泛使用，医疗保健在过去十年中发生了迅速变化 建立以电子健康档案为基础的国家数据网络，以提高护理质量。美国 RISE登记处是一个联邦合格的临床数据登记处，收集EHR数据 从全国近1000名风湿病学家的实践中，集中分析这些数据， 通过基于网络的仪表板将质量措施的绩效反馈给实践。在这个K24提案中， 申请人提出利用临床信息学中的新方法来提高质量的准确性， 测量，同时还开发和测试与风湿性关节炎相关的新的基于EHR的质量措施 疾病拟议的研究将利用她强大的研究组合，包括国家赠款 关节炎、肌肉骨骼和皮肤病研究所和卫生保健研究机构， 质量，她成功地实现了国家对基于EHR的质量措施的认可， RISE数据库中超过140万患者的现有数据，以及出色的机构环境 在旧金山弗朗西斯科的加州大学。它还将支持她在临床领域的持续职业发展 与基于EHR的临床研究相关的信息学方法。对于这个为期五年的K24奖项提案，她计划 增加在实地指导初级调查员的时间， 风湿病学，以帮助学员成功地启动学术研究事业的目标，在病人- 导向研究。该提案与全面的辅导计划相一致，概述了两个具体目标， 包括使用自然语言处理来提高基于EHR的质量测量的准确性， RISE，并开发和验证新的原型电子临床质量措施，以监测和 解决风湿性疾病患者护理中的高影响力差距。工作将优先考虑成果 测量和使用电子测量标准，包括质量数据模型和健康质量测量 制定、规定和测试措施的格式。通过这项研究和指导制定的措施 该计划将在全国范围内传播风湿病学实践的候选人，以改善对 患有风湿性疾病的人。

PROJECT SUMMARY Healthcare has changed rapidly in the last decade with the widespread use of electronic health records (EHRs) and the creation of national EHR-based data networks that aim to improve the quality of care. The American College of Rheumatology's RISE registry is a federally Qualified Clinical Data Registry that collects EHR data from the practices of almost 1000 rheumatologists nationally, analyzes these data centrally, and continuously feeds back performance on quality measures to practices via a web-based dashboard. In this K24 proposal, the applicant proposes to utilize novel methods in clinical informatics to increase the accuracy of quality measurement, while also developing and testing new EHR-based quality measures relevant to rheumatic diseases. The proposed research will leverage her strong research portfolio, including grants from the National Institute of Arthritis and Musculoskeletal and Skin Diseases and the Agency for Healthcare Research and Quality, her successful track record of achieving national endorsement for EHR-based quality measures, existing data from over 1.4 million patients in the RISE database, and the outstanding institutional environment at the University of California, San Francisco. It will also support her ongoing career development in clinical informatics methods relevant to EHR-based clinical research. For this five year K24 award proposal, she plans to increase the time spent mentoring junior investigators in the field or quality and outcomes measurement in rheumatology, with the goal of helping trainees successfully launch academic research careers in patient- oriented research. Aligned with a comprehensive mentoring plan, the proposal outlines two specific aims, including using natural language processing to increase the accuracy of EHR-based quality measurement in RISE, and developing and validating new, prototype electronic clinical quality measures to monitor and address high impact gaps in care for patients with rheumatic disease. The work will prioritize outcome measures and use eMeasurement standards, including the Quality Data Model and Health Quality Measures Format to develop, specify and test measures. Measures developed through this research and mentoring program will be candidates for nationwide dissemination across rheumatology practices to improve care for individuals with rheumatic disease.