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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正在开发一种移动医疗培训应用程序,将促进快速传播 不断向护士传授知识和程序技能,这将使员工能够迅速扩大 在大流行情况下满足需求的能力。正在进行的新冠肺炎大流行给人们带来了巨大的 全球卫生保健系统的压力,以及护理短缺--这早在疾病爆发之前就出现了 大流行-进一步加剧了人力资源管理的挑战,因为医院正在努力采取 关于不断增长的患者数量。因此,许多护士从其他科室重新分配, 院外职位,承担新的责任,但由于时间和时间的原因,他们接受的培训有限 资源限制和需要教师监督,这给高级工作人员带来了额外的负担。 此外,随着临床医生了解更多关于医疗保健的知识,标准护理程序可能很快就会过时 新的疾病,以及医院被迫修改程序以更好地管理有限的资源。至 为了缩小这一差距,ArchieMD提议开发一款支持自主教学的移动应用程序, 对关键的呼吸治疗程序进行培训和测试。移动应用程序格式支持可访问性和 更新程序的快速推出,以及ArchieMD的动态、解剖增强的视觉效果 证明了显著提高了学习理解力。对于这个第一阶段的项目,ArchieMD将1)开发 模拟氧疗和CPAP给药,结合逼真的内部解剖视觉效果 支持更深入的学习,以及2)开展用户研究以评估医学培训的绩效 在这些程序中传授知识和技能方面的应用。附加教学、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可视化包括在虚拟 患者,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。为用户与密歇根大学护理专业学生合作 研究将展示该应用程序的可用性和功能性,并为未来的开发需求提供信息。 成功完成这些具体目标将为拟议的培训平台提供概念验证 并导致开发出最低限度可行的产品。正如所设想的那样,持续的发展将导致 商业上可行的移动应用程序,带有一套医疗程序培训模块,以及医院内 任务管理功能,将帮助根据培训模块完成情况分配重新分配的工作人员 状态。这项技术将支持自我指导的及时培训,以减轻上层员工的负担和 扩大护理队伍的能力,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提高临床技能,建立灵活的工作组,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 Furthermore, standard-of-care procedures may quickly become outdated as clinicians learn more about the novel disease, and as hospitals are compelled to modify procedures to better manage limited resources.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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