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

这个SBIR第一阶段项目将创建一个虚拟临床培训环境的概念验证原型，以模拟面对面的临床培训。这一变革性的举措由游戏技术和临床算法构建，将使学生能够安全地将临床决策作为医学院课程的一部分，而不会影响实际的患者。学校可以在不增加IT基础设施或增加员工的情况下，提高所有医疗培训(医生、护士、医生助理、护士和专职医疗保健学生)的临床能力。临床医生实习生在逼真的场景中与虚拟临床医生和患者互动，在他们努力解决场景时，他们做出决策并收到专家指导反馈。这些虚拟体验将与备受尊敬的医学院合作伙伴共同开发，并放置在一个创新的软件即服务(SaaS)平台中，供医学院通过具有成本效益的移动设备和计算机订阅模式访问。这个拟议的项目将通过与一位著名的医学院合作者一起创建一个概念验证试点来证明技术和商业上的可行性。该平台最终将服务于医学院和教学医院(仅在美国就有400多所)、1900多个护理课程，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差错-所有这些都不需要增加他们的IT基础设施或模拟中心员工。该项目将利用独特的、先进的软件技术和工程来创建基于计算机的虚拟临床培训环境，随时在任何设备上提供更真实、更复杂、更逼真的临床培训体验。通过经济高效的SaaS模式向移动设备提供这种级别的功能还是个未知领域。让会说话的3D虚拟角色动态回应用户？S通过底层逻辑做出的决定是复杂的，在移动设备上运行的网络浏览器的约束下这样做的可行性尚不清楚。赛恩德斯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的学习方法的有效性。该项目将从三个方面论证技术和商业上的可行性。首先，将利用Syandus的模拟技术专业知识来构建在移动设备上具有可接受性能的概念技术证明。其次，与一所著名医学院的合作将产生第一个使用概念技术验证的虚拟临床培训原型。第三，将与医学院顾问一起解决将这些虚拟体验最好地整合到课程中的功能要求。由此产生的平台将允许与医学院合作者建立未来的模块，以创造非凡的虚拟体验，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结果。

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.