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Anatomy-augmented visual training on mobile devices for rapid dissemination of best practices during pandemics

Anatomy-augmented visual training on mobile devices for rapid dissemination of best practices during pandemics
移动设备上的解剖增强视觉训练,可在大流行期间快速传播最佳实践
批准号:
10154515
负责人:
ROBERT J LEVINE
金额:
$25.16万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-03-03 至 2024-03-02

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中文摘要
翻译
摘要 ArchieMD正在开发一个移动的医疗培训应用程序, 不断发展的知识和程序技能的护士,这将使工作人员迅速扩大 在发生大流行时满足需要的能力。持续的COVID-19大流行给我们带来了巨大的 全世界卫生保健系统的压力,以及护士短缺-早在世界卫生组织开始之前, 大流行病进一步加剧了人力资源管理的挑战,因为医院努力采取 越来越多的病人。因此,许多护士被从其他部门重新分配, 医院外的职位,承担新的职责,由于时间和 资源限制和需要教员监督,这给高级工作人员增加了额外负担。 此外,标准护理程序可能会很快变得过时,因为临床医生了解更多关于 新的疾病,医院被迫修改程序,以更好地管理有限的资源。到 为了缩小这一差距,ArchieMD建议开发一个移动的应用程序,支持自我指导教学, 培训和关键呼吸治疗程序的测试。移动的应用程序格式支持辅助功能, 快速推出更新的程序,ArchieMD的动态,解剖增强的视觉效果已经 证明了它能显著提高学习理解力。对于第一阶段项目,ArchieMD将1)开发 模拟氧气治疗和CPAP管理,结合逼真的内部解剖视觉效果, 支持更深入的学习,2)进行用户研究,以评估医疗培训的绩效 在这些程序中转移知识和技能的应用。添加剂教学、培训和测试 模块将利用整合的视觉效果,在早期学习阶段有效地传达上下文信息 并支持概念的长期保留。通过将动态内部解剖结构可视化包括在虚拟 用户能够更深入地了解手术对患者身体的实时影响, 功能和健康结果。与密歇根大学的护理专业学生合作, 研究将展示应用程序的可用性和功能,并为未来的开发需求提供信息。 成功实现这些具体目标将为拟议的培训平台提供一个概念验证 并导致最小可行产品的开发。按照设想,持续的发展将导致 商业上可行的移动的应用程序,带有一套医疗程序培训模块,沿着医院内 任务管理功能,有助于根据培训模块完成情况分配重新分配的工作人员 status.这项技术将支持自我指导、及时培训,以减轻上层工作人员的负担, 扩大护理人员的能力,以便在当前或未来的大流行期间照顾病人。这些 易于访问的培训模拟将导致提高临床技能,灵活的工作队,并最终, 更好的病人护理。
英文摘要
Abstract ArchieMD is developing a mobile medical training application that will facilitate rapid dissemination of continuously evolving knowledge and procedural skills to nurses, which will allow staff to quickly expand capabilities to meet needs in the event of a pandemic. The ongoing COVID-19 pandemic has put an immense strain on health care systems worldwide, and the nursing shortage—which long predated the onset of the pandemic—has further exacerbated the challenge of human resource management as hospitals struggle to take on the growing number of patients. As a result, many nurses are being re-allocated from other departments and out-of-hospital positions, assuming new responsibilities for which they have limited training, due to time and resource constraints and the need for instructor oversight, which places an additional burden on senior staff. Furthermore, standard-of-care procedures may quickly become outdated as clinicians learn more about the novel disease, and as hospitals are compelled to modify procedures to better manage limited resources. To close this gap, ArchieMD proposes to develop a mobile application that will support self-guided instruction, training, and testing on key respiratory therapy procedures. The mobile app format supports accessibility and rapid roll-out of updated procedures, and ArchieMD's dynamic, anatomy-augmented visuals have been demonstrated to significantly improve learning comprehension. For this Phase I project, ArchieMD will 1) Develop simulations for oxygen therapy and CPAP administration, incorporating realistic internal anatomy visuals to support deeper learning, and 2) Carry out a user study to evaluate the performance of the medical training application in transferring knowledge and skills in these procedures. Additive instructional, training, and testing modules will leverage incorporated visuals to efficiently convey contextual information in early learning stages and support long-term retention of concepts. By including dynamic internal anatomy visuals over the virtual patient, users are able to gain a deeper understanding of the procedure's real-time impact on the patient's bodily functions and health outcomes. Collaboration with nursing students at the University of Michigan for the user study will demonstrate usability and functionality of the application, as well as inform future development needs. Successful completion of these specific aims will provide a proof-of-concept for the proposed training platform and result in development of a minimum viable product. As envisioned, ongoing development will result in a commercially viable mobile application with a suite of medical procedure training modules, along with in-hospital task managing features that will assist with distribution of re-allocated staff based on training module completion status. This technology will support self-guided, just-in-time training to reduce burdens on upper-level staff and expand the capabilities of the nursing workforce to tend to patients during a current or future pandemic. These easily accessed training simulations will result in improved clinical skills, a flexible taskforce, and ultimately, better patient care.
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