SHB: Type II (INT): Collaborative Research: Creating Learning Systems with Mobile Technology to Improve Coordination in Perioperative Services

该项目建议创建一个结合移动技术、学习系统、数据分析、教育和培训的框架，以加强围手术期服务部门（POS）内部和之间员工的合作与协调。围手术期服务包括手术准备、手术室、麻醉后护理、无菌处理和各种其他服务，如放射学和内窥镜检查。该项目的具体目标是：(1)通过智能应用程序收集和使用重要的工作流程里程碑，并引入人工智能技术，加强POS员工之间的沟通和协调，以提高护理质量；(2)通过数据分析分析智能应用程序收集的工作流程数据，为一线员工提供直观的实时信息显示，为管理人员提供日常绩效仪表板；(3)通过培训和教育诱导卫生保健系统的行为和文化变化。虽然现有的信息技术能力，如自然语言处理、人工智能和语音识别技术，在计算领域是有前途的发展，但它们在医疗保健领域的应用是有限的，因此在有效地用于医疗保健之前，需要对它们进行彻底的研究。为了实现这些目标，研究团队将与合作的医疗保健机构——Greenville Hospital System （GHS）、Palmetto Health （Palmetto）和南卡罗来纳医科大学（MUSC）——密切合作，开发工具和模型，由这些组织的工作人员进行试点测试。开发的工具和模型将在南卡罗来纳州的卫生保健提供者中广泛传播。此外，智能应用程序和基于代理的仿真模型将为团队提供一个教学和培训工具，可以在克莱姆森大学和南卡罗来纳大学（USC）的课堂上使用，向商业、工程、科学和医疗保健等各个领域的学生传授信息和工作流管理技术。

This project proposes to create a framework using a combination of mobile technology, learning systems, data analytics, education, and training to enhance cooperation and coordination of staff within and across perioperative services departments (POS). Perioperative services comprise surgery preparation, operating rooms, post-anesthesia care, sterile processing and a variety of other services, such as radiology and endoscopy. The specific objectives of this project are to: (1) enhance communication and coordination among POS staff to improve the quality of care by gathering and using important workflow milestones and introducing artificial intelligence techniques through the use of a smart-app, (2) analyze workflow data gathered with smart-apps using data analytics to provide intuitive displays of real-time information for frontline staff and a daily performance dashboard for managers, and (3) induce behavioral and cultural change in healthcare systems through training and education. While existing information technology capabilities such as natural language processing, artificial intelligence, and speech recognition technology are promising developments in computing, their uses in health care are limited and thus need to be thoroughly investigated before they can be used in health care effectively. To accomplish these objectives, the research team will work closely with the partnering healthcare organizations, Greenville Hospital System (GHS), Palmetto Health (Palmetto), and the Medical University of South Carolina (MUSC), in developing the tools and models which will be pilot-tested at these organizations by their staff. The developed tools and models will be widely disseminated among health care providers in South Carolina. In addition, the smart-apps and agent-based simulation model will provide the team with a teaching and training tool that can be used in the classroom at Clemson University and the University of South Carolina (USC) to teach students across a variety of fields, such as business, engineering, science and healthcare students about information and workflow management techniques.