SBIR Phase I: Safely Practicing Clinical Decision Making in a Realistic Virtual Training Environment

该SBIR第一阶段项目将创建虚拟临床培训环境的概念验证原型，以模拟现场临床培训。 这一变革性的举措，建立了游戏技术和临床算法，将使学生能够安全地实践临床决策作为他们的医学院课程的一部分，而不会影响实际的病人。 学校可以在不增加IT基础设施或更多员工的情况下，提高所有医疗培训（医疗、执业护士、医师助理、护士和专职医疗保健学生）的临床能力。 临床实习生在逼真的场景中与虚拟临床医生和患者互动，他们在解决场景时做出决策并接受专家指导反馈。这些虚拟体验将与备受尊敬的医学院合作伙伴一起开发，并安装在创新的软件即服务（SaaS）平台中，供医学院通过移动的设备和计算机上的成本效益订阅模式访问。 该拟议项目将通过与著名医学院合作者创建概念验证试点来证明技术和商业可行性。该平台最终将服务于医学院和教学医院（仅在美国就有400多家）、1900多个护理项目，并最终服务于全国各地的医院系统，以改善医疗保健结果并减少错误-所有这些都无需增加其IT基础设施或模拟中心的工作人员。 该项目将利用独特的先进软件技术和工程来创建基于计算机的虚拟临床培训环境，从而在任何时间在任何设备上提供更真实、复杂、逼真的临床培训体验。通过经济高效的SaaS模式向移动的设备提供这种级别的功能是一个未知的领域。 使对话式3D虚拟角色能够动态地响应用户？通过底层逻辑的决策是复杂的，并且在运行于移动的设备上的web浏览器的约束内这样做的可行性是未知的。Syandus的独特方法结合了游戏引擎技术的响应性，系统工程的临床决策以及经验驱动学习方法的有效性。该项目将在三个目标上证明技术和商业可行性。首先，Syandus的仿真技术专业知识将被用来在移动的设备上构建具有可接受性能的技术概念验证。第二，与一所著名的医学院合作，将使用技术概念验证产生第一个虚拟临床培训原型。第三，将这些虚拟体验最好地整合到课程中的功能要求将与医学院顾问一起解决。由此产生的平台将允许与医学院合作者构建未来的模块，以创建卓越的虚拟体验，填补培训中最重要的临床推理空白。 分析将提供丰富的虚拟决策数据，以了解如何提高学习效率和成果。

This SBIR Phase I project will create a proof of concept prototype of a Virtual Clinical Training Environment to emulate in-person clinical training. This transformative initiative, built with game technology and clinical algorithms, will enable students to safely practice clinical decision making as part of their medical school curriculum without impacting actual patients. Schools can improve clinical competency across all medical training (medical, nurse practitioner, physician assistant, nurse, and allied healthcare students) without adding IT infrastructure or more staff. Clinician trainees interact with virtual clinicians and patients in lifelike scenarios where they make decisions and receive expert mentoring feedback as they work to solve the scenario. These virtual experiences will be developed with well-respected medical school partners, and housed in an innovative Software as a Service (SaaS) platform for medical schools to access via a cost-effective subscription model on mobile devices and computers. This proposed project will demonstrate technical and commercial feasibility by creating a proof of concept pilot with a prominent medical school collaborator. This platform will ultimately serve medical schools and teaching hospitals (over 400 in the United States alone), over 1900 nursing programs, and eventually hospital systems nationwide to improve healthcare outcomes and reduce errors - all without increasing their IT infrastructure or simulation center staff. This project will leverage unique, advanced software technology and engineering to create computer-based virtual clinical training environments that provide more authentic, complex, lifelike clinical training experiences on any device at any time. Delivering this level of functionality through a cost-effective SaaS model to mobile devices is uncharted territory. Enabling conversational 3D virtual characters to dynamically respond to a user?s decisions via underlying logic is complex, and the feasibility of doing so within the constraints of web browsers running on mobile devices is unknown. Syandus' unique approach combines the responsiveness of game engine technology, the clinical decision making of systems engineering, and the effectiveness of experience-driven learning methodologies. This project will demonstrate technical and commercial feasibility in three objectives. First, Syandus' simulation technology expertise will be leveraged to build a technical proof of concept with acceptable performance on mobile devices. Second, a collaboration with a prominent medical school will result in the first virtual clinical training prototype using the technical proof of concept. Third, the functional requirements to best integrate these virtual experiences into the curriculum will be addressed with medical school advisors. The resulting platform will allow future modules to be built with medical school collaborators to create exceptional virtual experiences that fill the most significant clinical reasoning gaps in training. Analytics will provide rich virtual decision data to learn how to improve learning effectiveness and outcomes.