Adam Baus, Andrea Calkins, Cecil Pollard, Craig Robinson, Robin Seabury, Marcus Thygeson, Curt Lindberg, Andrya Durr
{"title":"Using Electronic Health Records Data to Identify Strong Performers in Healthcare Quality Improvement.","authors":"Adam Baus, Andrea Calkins, Cecil Pollard, Craig Robinson, Robin Seabury, Marcus Thygeson, Curt Lindberg, Andrya Durr","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>Assessing for positive deviance is one method of identifying individuals, teams, or organizations that perform substantially better than their peers. This approach has been used to support quality-of-care improvement processes in healthcare settings by identifying healthcare team members who perform comparatively well within a given environment and sharing their opinions, actions, and practices with others. This case study presents an adaptable, straightforward framework for identifying positive deviance, or strong performers, within the healthcare setting and is intended for any primary care health system tracking quality measures and aiming to understand the performance of their providers, clinic sites, or organization. Moreover, this protocol does not require the use of more time-consuming methods, such as interviews, and is instead based on repurposing data already being documented in the electronic health record.</p>","PeriodicalId":40052,"journal":{"name":"Perspectives in health information management / AHIMA, American Health Information Management Association","volume":"21 1","pages":"1h"},"PeriodicalIF":0.0000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11102057/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Perspectives in health information management / AHIMA, American Health Information Management Association","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Assessing for positive deviance is one method of identifying individuals, teams, or organizations that perform substantially better than their peers. This approach has been used to support quality-of-care improvement processes in healthcare settings by identifying healthcare team members who perform comparatively well within a given environment and sharing their opinions, actions, and practices with others. This case study presents an adaptable, straightforward framework for identifying positive deviance, or strong performers, within the healthcare setting and is intended for any primary care health system tracking quality measures and aiming to understand the performance of their providers, clinic sites, or organization. Moreover, this protocol does not require the use of more time-consuming methods, such as interviews, and is instead based on repurposing data already being documented in the electronic health record.
期刊介绍:
Perspectives in Health Information Management is a scholarly, peer-reviewed research journal whose mission is to advance health information management practice and to encourage interdisciplinary collaboration between HIM professionals and others in disciplines supporting the advancement of the management of health information. The primary focus is to promote the linkage of practice, education, and research and to provide contributions to the understanding or improvement of health information management processes and outcomes.