PDF(Pubmed)
Abstract：
Optimizing work shifts in healthcare is crucial for maintaining high standards of service delivery and fostering professional development. This study delves into the emerging field of skill-oriented work shift optimization, focusing specifically on radiographers within the healthcare sector. Through the development of Skills Retention Monitoring (SRH), this research aims to enhance skill monitoring, workload management, and organizational performance. In this study, several key highlights emerged: (a) Introduction of the SRH tool: The SRH tool represents a resource-efficient solution that harnesses existing software infrastructure. A preliminary version, focusing on the radiographers\' professional profile, was released, and after several months of use, it demonstrated effectiveness in optimizing work based on competency monitoring. (b) The SRH tool has thus demonstrated the capacity to generate actionable insights in the organizational context of radiographers. By generating weekly reports, the SRH tool streamlines activity management and optimizes resource allocation within healthcare settings. (c) Application of a Computer-Assisted Web Interviewing (CAWI) tool for pre-release feedback during a training event. (d) Strategic importance of a maintenance and monitoring plan: This plan, rooted in a continuous quality improvement approach and key performance indicators, ensures the sustained effectiveness of the SRH tool. (e) Strategic importance of a transfer plan: Involving professional associations and employing targeted questionnaires, this plan ensures the customization of the tool from the perspective of each profession involved. This is a crucial point, as it will enable the release of tool versions tailored to various professions operating within the hospital sector. As a side result, the tool could allow for a more tailored and personalized medicine both by connecting the insights gathered through the SRH tool with the right competencies for healthcare professionals and with individual patient data. This integration could lead to better-informed decision making, optimizing treatment strategies based on both patient needs and the specific expertise of the healthcare provider. Future directions include deploying the SRH tool within the Pisa hospital network and exploring integration with AI algorithms for further optimization. Overall, this research contributes to advancing work shift optimization strategies and promoting excellence in healthcare service delivery.
摘要：
优化医疗保健工作轮班对于保持高标准的服务提供和促进专业发展至关重要。本研究深入研究了以技能为导向的工作班次优化这一新兴领域，特别关注医疗保健部门的放射技师。通过发展技能保留监测(SRH)，这项研究旨在加强技能监控，工作负载管理，和组织绩效。在这项研究中,出现了几个关键亮点：（a）SRH工具的介绍：SRH工具代表了一种利用现有软件基础架构的资源高效解决方案。初步版本,专注于放射技师的专业概况，被释放了,经过几个月的使用，它证明了基于能力监控的优化工作的有效性。（b）因此，SRH工具已证明有能力在放射技师的组织背景下产生可行的见解。通过生成每周报告，SRH工具简化了活动管理并优化了医疗保健环境中的资源分配。(c)在培训活动期间应用计算机辅助网络访谈(CAWI)工具进行发布前反馈。（d）维护和监测计划的战略重要性：该计划，植根于持续质量改进方法和关键绩效指标，确保SRH工具的持续有效性。（e）转移计划的战略重要性：涉及专业协会并采用有针对性的调查表，该计划确保从所涉及的每个专业的角度定制工具。这是一个关键点，因为它将能够发布针对医院部门内各种专业人员量身定制的工具版本。作为一个附带结果，通过将通过SRH工具收集的见解与医疗保健专业人员的适当能力以及个人患者数据联系起来，该工具可以实现更量身定制的个性化医疗。这种整合可能会导致更明智的决策，根据患者需求和医疗保健提供者的专业知识优化治疗策略。未来的方向包括在比萨医院网络中部署SRH工具，并探索与AI算法的集成以进一步优化。总的来说,这项研究有助于推进工作班次优化策略，促进卓越的医疗服务提供。
