{"title":"A sociotechnical framework for integration of telehealth into clinical workflow","authors":"Samuel Bonet Olivencia, F. Sasangohar","doi":"10.1080/24725579.2023.2211083","DOIUrl":null,"url":null,"abstract":"Abstract Telehealth has received attention in recent years for improving access to healthcare and for supporting integrated care for chronic diseases. Considering that telehealth integration into clinical workflow can alter healthcare providers’ practice patterns, impacting efficiency, quality of care, and patient safety, it is timely to identify and account for system-level variables and considerations to improve the efficiency of telehealth integrations in healthcare settings. Despite the growth of telehealth, and isolated efforts to identify such considerations, a comprehensive conceptual framework for telehealth clinical integration is largely absent. To address this gap, this research effort applied a mixed methods approach to develop a sociotechnical framework to serve as a roadmap for clinics, hospitals, and other healthcare settings regarding the components that must be considered when developing and implementing a telehealth system. The developed framework, System Adoption and Integration of New Telehealth Systems (SAINTS), is grounded in literature and insights from three telehealth case studies in healthcare settings, is influenced by well-grounded sociotechnical models with application in complex healthcare systems, incorporates model-based systems engineering language for the development of structural models, and has been structured considering three temporal stages: system preparation, patient enrollment, and system implementation.","PeriodicalId":37744,"journal":{"name":"IISE Transactions on Healthcare Systems Engineering","volume":"13 1","pages":"248 - 259"},"PeriodicalIF":1.5000,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IISE Transactions on Healthcare Systems Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/24725579.2023.2211083","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 1
Abstract
Abstract Telehealth has received attention in recent years for improving access to healthcare and for supporting integrated care for chronic diseases. Considering that telehealth integration into clinical workflow can alter healthcare providers’ practice patterns, impacting efficiency, quality of care, and patient safety, it is timely to identify and account for system-level variables and considerations to improve the efficiency of telehealth integrations in healthcare settings. Despite the growth of telehealth, and isolated efforts to identify such considerations, a comprehensive conceptual framework for telehealth clinical integration is largely absent. To address this gap, this research effort applied a mixed methods approach to develop a sociotechnical framework to serve as a roadmap for clinics, hospitals, and other healthcare settings regarding the components that must be considered when developing and implementing a telehealth system. The developed framework, System Adoption and Integration of New Telehealth Systems (SAINTS), is grounded in literature and insights from three telehealth case studies in healthcare settings, is influenced by well-grounded sociotechnical models with application in complex healthcare systems, incorporates model-based systems engineering language for the development of structural models, and has been structured considering three temporal stages: system preparation, patient enrollment, and system implementation.
期刊介绍:
IISE Transactions on Healthcare Systems Engineering aims to foster the healthcare systems community by publishing high quality papers that have a strong methodological focus and direct applicability to healthcare systems. Published quarterly, the journal supports research that explores: · Healthcare Operations Management · Medical Decision Making · Socio-Technical Systems Analysis related to healthcare · Quality Engineering · Healthcare Informatics · Healthcare Policy We are looking forward to accepting submissions that document the development and use of industrial and systems engineering tools and techniques including: · Healthcare operations research · Healthcare statistics · Healthcare information systems · Healthcare work measurement · Human factors/ergonomics applied to healthcare systems Research that explores the integration of these tools and techniques with those from other engineering and medical disciplines are also featured. We encourage the submission of clinical notes, or practice notes, to show the impact of contributions that will be published. We also encourage authors to collect an impact statement from their clinical partners to show the impact of research in the clinical practices.