Co-Development of Telehealth, Remote Patient Monitoring, and AI-based Tools for Inclusive Technology-Facilitated Healthcare Work of the Future

共同开发远程医疗、远程患者监护和基于人工智能的工具，以实现包容性技术促进未来的医疗保健工作

基本信息

批准号：
2129076
负责人：
Oded Nov
金额：
$ 250万
依托单位：
New York University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-10-15 至 2026-09-30
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2129076&HistoricalAwards=false
关键词：
Co Development Telehealth Remote Patient

项目摘要

As the use of digital health technologies grows, gaps between the potential of new technologies, existing healthcare practices, and workers’ preparedness for new technologies limit the potential of digital health to achieve acceptance and effective utilization at scale. This transition to scale research project views inclusion as a key driver of scale in future technology-facilitated healthcare work. Inclusive technology for healthcare work will enable workers in diverse roles and skills to leverage increasing access to data-driven technologies. The project focuses on the growth of Data-Intensive Technologies (DIT), which include telehealth and AI-based tools. The project’s approach to transition to scale centers on alleviating existing misalignment between current healthcare work and data-intensive technologies in three ways. First is through the co-development of tools and generalizable design principles with users that lower the barrier to technology integration for healthcare workers. Second is by empowering individuals within healthcare systems who have diverse roles to adopt and use the tools and improve their skills. Third is to enable patient-centered healthcare that promotes autonomy and strengthens clinician-patient concordance. The project represents a multi-institutional commitment to transitioning innovative healthcare to scale, through DIT facilitated inclusion of diverse workers in healthcare systems across the U.S., which together encompass over 1000 care sites in U.S. 24 states, multiple work roles, and different levels of training and hierarchy.This project brings together several scientific fields, including human-computer interaction, health informatics, artificial intelligence (AI), sensing, medicine, organizational behavior, and research on diversity and inclusion. The investigator team is structured to achieve multiple convergent goals such as quantifying the impacts of scaling DIT on inclusive healthcare work and modelling prescription and adoption of DIT towards inclusive deployment at scale. Additionally, the investigators seek to identify generalizable DIT design principles for inclusive healthcare work at scale, and to develop theory and tools to facilitate at-scale inclusion through DIT-based patient-provider concordance. Finally, the project expects to develop tools and practices for lowering barriers to comprehension of and engagement with DIT by diverse healthcare workers; to create AI-based team-focused tools; and to analyze the opportunities and challenges in using AI for diverse healthcare teams’ work. This project has been funded by the NSF Future of Work at the Human-Technology Frontier cross-directorate program to promote deeper basic understanding of the interdependent human-technology partnership in work contexts by advancing design of intelligent work technologies that operate in harmony with human workers.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

随着数字健康技术的使用的增长，新技术的潜力，现有医疗保健实践的潜力以及工人为新技术的准备限制了数字健康的潜力，以在大规模上实现接受和有效利用。扩展研究项目的这种过渡将包容性视为未来技术促进医疗保健工作的关键驱动力。用于医疗保健工作的包容性技术将使扮演多样性和技能的工人能够利用增加对数据驱动技术的访问。该项目着重于数据密集型技术（DIT）的增长，其中包括远程医疗和基于AI的工具。该项目通过三种方式减轻当前医疗保健工作与数据密集型技术之间现有的未对准的过渡方法。首先是通过与用户共同开发工具和可推广的设计原则，从而降低了医疗工作人员技术集成的障碍。其次是通过赋予医疗保健系统中的个人权力，他们在采用和使用这些工具并提高技能方面发挥了不同作用。第三是使以患者为中心的医疗保健促进自主权和优势临床患者一致性。 The project represents a multi-institutional commitment to transitioning innovative healthcare to scale, through DIT prepared inclusion of divergent workers in healthcare systems across the U.S., 24 states, multiple work roles, and different levels of training and hierarchy.This project brings together several scientific fields, including human-computer interaction, health informatives, artificial intelligence (AI), sensitivity, medicine, organizational behavior, and research on diversity and包容。调查员团队的结构是实现多个收敛目标，例如量化DIT对包容性医疗保健工作的影响以及对DIT进行建模和对纳入纳入纳入全包部署的影响。此外，调查人员试图确定大规模包容性医疗保健工作的可概括性DIT设计原则，并开发理论和工具，以通过基于DIT的患者提供者的一致性来促进按规模的包容。最后，该项目希望开发降低潜水员医疗人员理解和与DIT互动的障碍的工具和实践；创建基于AI的团队以团队为中心的工具；并分析将AI用于潜水员医疗团队的工作的机遇和挑战。该项目由人类技术边界的NSF工作未来提供资金，通过推进智能工作技术的设计，与人类工人和谐相处的智能工作技术，通过推进智能工作技术的设计来促进对工作环境中相互依存的人类技术合作伙伴关系的更深入的基本理解，这是NSF的稳定范围，反映了NSF的诚实诚实的支持，这些奖项是由诚实的构成的构成，其构成的构成是构成的，构成了构成的支持。标准。