这项研究的目的是评估和评估个人对数字病理学(DIPA)在丹麦南部地区的两个病理学部门实施之前和实施期间的临床工作人员的期望和经验。在实施之前和实施期间,与两个病理部门的经理和员工进行了17次基于麦肯锡7-S框架的半结构化访谈。受访者是病理学家,在病理学实习的医生(实习生),生物医学实验室科学家(BLS),秘书,和项目负责人。使用演绎和归纳编码产生了五个整体主题和相关的子主题。研究结果表明,从一开始就对DIPA持总体积极态度。临床工作人员认为在实施过程中已经获得了好处,例如改善了部门间和部门内的协作,从而促进了DIPA的更好接受。临床工作人员也经历了一些挑战,例如,周转时间增加,这在个人层面上影响和关注员工。特别是BLS表示,由于工作量的意外增加以及潜在的更好实施过程的一些障碍,经历了苛刻和紧张的过渡。这项研究的主要结果是,需要通过透明地沟通即将向DIPA过渡的挑战,更好地准备工作人员,事先进行更多特定系统的培训,在实施过程中分配更多的时间和资源,在需求规范中更多地关注BLS的工作任务。
The aim of this
study was to assess and evaluate the individual expectations and experiences regarding the implementation of digital pathology (DIPA) among clinical staff in two of the pathology departments in the Region of Southern Denmark before and during the implementation in their department. Seventeen semi-structured interviews based upon McKinsey 7-S framework were held both prior to and during implementation with both managers and employees at the two pathology departments. The interviewees were pathologists, medical doctors in internship in pathology (interns), biomedical laboratory scientists (BLS), secretaries, and a project lead. Using deductive and inductive coding resulted in five overall themes and appertaining sub-themes. The findings pointed to an overall positive attitude towards DIPA from the beginning. The clinical staff perceived being rewarded already during implementation with benefits such as improved collaboration both inter- and intra-departmentally promoting better acceptance of DIPA. The clinical staff also experienced some challenges, e.g., increase in turnaround times, which affected and concerned staff on a personal level. Especially BLS expressed experiencing a demanding and stressful transition due to unexpected increase in workload as well as some barriers for a potentially better implementation process. The key findings of this
study were a need for better preparation of staff through transparent communication of the upcoming challenges of the transition to DIPA, more system-specific training beforehand, more allocation of time and resources in the implementation process, and more focus on BLS\' work tasks in the requirement specifications.