Kamath Celia C, Wissler Gerdes Erin O, Barry Barbara A, Minteer Sarah A, Comfere Nneka I, Peters Margot S, Wieland Carilyn N, Bews Katherine A, Habermann Elizabeth B, Ridgeway Jennifer L
Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN.
Division of Health Care Delivery Research, Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
Mayo Clin Proc Digit Health. 2024 May 9;2(3):289-298. doi: 10.1016/j.mcpdig.2024.05.001. eCollection 2024 Sep.
Digital pathology (DP) transforms practice by replacing traditional glass slide review with digital whole slide images and workflows. Although digitization may improve accuracy and efficiency, transitioning to digital practice requires staff to learn new skills and adopt new ways of working and collaborating. In this study, we aimed to evaluate the experiences and perceptions of individuals involved in the day-to-day work of implementing DP in a tertiary academic medical center using Normalization Process Theory, a social theory that explains the processes by which innovations are operationalized and sustained in practice. Between September 2021 and June 2022, dermatopathologists, referring clinicians, and support staff at Mayo Clinic (Minnesota, Florida, and Arizona) participated in interviews (n=22) and completed surveys (n=34) concerning the transition. Normalization Process Theory informed the selection of validated survey items (Normalization Measure Development Questionnaire) and guided qualitative analysis. Participants reported high agreement with statements related to shared understanding and potential value of DP for workflow integration and working relationships. Qualitative themes reflecting the way organization and social context enable these processes were mapped onto implementation stages and related key activities. We found that earlier processes of implementation (understanding and working out participation) were better supported than later stages (doing it and reflecting on it). Our analysis helps identify targets for further intervention to hasten and help sustain implementation, including additional support in software and technological integration, workflows and work redesign, and regular monitoring and feedback systems. The use of implementation theory, such as Normalization Process Theory, may provide useful pointers to enable other similar digital system transition efforts.
数字病理学(DP)通过用数字全切片图像和工作流程取代传统的玻片检查来改变实践。尽管数字化可能提高准确性和效率,但向数字实践的转变要求工作人员学习新技能并采用新的工作和协作方式。在本研究中,我们旨在使用归一化过程理论来评估在一家三级学术医疗中心参与日常DP实施工作的人员的经验和看法,归一化过程理论是一种社会理论,解释了创新在实践中得以实施和维持的过程。在2021年9月至2022年6月期间,梅奥诊所(明尼苏达州、佛罗里达州和亚利桑那州)的皮肤病理学家、转诊临床医生和支持人员参与了关于这一转变的访谈(n = 22)并完成了调查(n = 34)。归一化过程理论为经过验证的调查项目(归一化测量发展问卷)的选择提供了依据,并指导了定性分析。参与者对与DP在工作流程整合和工作关系方面的共同理解和潜在价值相关的陈述表示高度认同。反映组织和社会背景促成这些过程方式的定性主题被映射到实施阶段和相关关键活动上。我们发现,实施的早期过程(理解和确定参与方式)比后期阶段(实施和反思)得到了更好的支持。我们的分析有助于确定进一步干预的目标,以加速并帮助维持实施,包括在软件和技术整合、工作流程和工作重新设计以及定期监测和反馈系统方面提供额外支持。使用实施理论,如归一化过程理论,可能为其他类似的数字系统转型努力提供有用的指导。