Understanding challenges of using routinely collected health data to address clinical care gaps: a case study in Alberta, Canada

BMJ Open Quality

article

Taylor McGuckin¹  Katelynn Crick¹  Tyler W Myroniuk²  Brock Setchell¹  Roseanne O Yeung¹  Denise Campbell-Scherer¹ 

[1] Faculty of Medicine & Dentistry - Lifelong Learning & Physician Learning Program , University of Alberta;Public Health , University of Missouri;Division of Endocrinology & Metabolism, Faculty of Medicine and Dentistry , University of Alberta;Department of Family Medicine, Faculty of Medicine and Dentistry , University of Alberta

关键词: quality improvement;    quality improvement methodologies;    data accuracy;    health services research;    healthcare quality improvement;   

DOI  :  10.1136/bmjoq-2021-001491

学科分类：药学

来源: BMJ Publishing Group

【 摘 要 】

High-quality data are fundamental to healthcare research, future applications of artificial intelligence and advancing healthcare delivery and outcomes through a learning health system. Although routinely collected administrative health and electronic medical record data are rich sources of information, they have significant limitations. Through four example projects from the Physician Learning Program in Edmonton, Alberta, Canada, we illustrate barriers to using routinely collected health data to conduct research and engage in clinical quality improvement. These include challenges with data availability for variables of clinical interest, data completeness within a clinical visit, missing and duplicate visits, and variability of data capture systems. We make four recommendations that highlight the need for increased clinical engagement to improve the collection and coding of routinely collected data. Advancing the quality and usability of health systems data will support the continuous quality improvement needed to achieve the quintuple aim.quality improvementquality improvement methodologiesdata accuracyhealth services researchhealthcare quality improvementhttp://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

【 授权许可】

CC BY-NC|CC BY|CC BY-NC-ND