SBIR Phase II: Serious Gaming Platform for Mastering the Physician-Patient Diagnostic Interview

这个小型企业创新研究（SBIR）第二阶段项目将完成人工智能（AI）患者平台的开发。这个身临其境的模拟平台可以帮助医学生磨练他们的倾听和融洽的关系，通过互动的技能？虚拟？患者学生提出问题，患者的视频剪辑回应取决于所问的具体问题，如何提出该问题以及何时在面试中提出。如果学生问了错误的问题，或者问了不恰当的问题，那么病人的反应就会阻碍积极的医患关系的发展。因为它结合了视频剪辑和人工智能，并且是基于网络的，我们预计这个培训平台将教会医学院的学生（和其他卫生专业人员）如何真正关注他们的病人，并且它将比市场上已经存在的其他培训产品更有效。在第二阶段，我们将完成平台构建，整合额外的人工智能和语音识别功能，创建可在智能手机和平板电脑上运行的平台版本，并开发一组六种患者场景。这项工作将导致一个平台，接近自然的会话经验。更广泛的影响/商业潜力，这个项目将实现一个显着的进步，目前可用的计算机为基础的培训和其他教学工具。医学院正在经历从被动到主动的教学方法的转变，因为教授和学生都希望用更具互动性的学习方法取代PowerPoint幻灯片，讲座和教学视频的被动学习方法。AI Patient平台提供的积极体验将帮助学生学习成为更有效的倾听者和更好的健康从业者，这将带来更好的患者结果。该平台还将允许研究人员跟踪和衡量使用这种培训工具的有效性。通过与我们的医学院合作伙伴（西弗吉尼亚大学医学院和西弗吉尼亚骨科医学院）合作，我们将开发一套我们可以授权给其他医学院的方案。 面向医学院社区的销售，将支持更多医疗场景的开发，并使我们能够拓展到其他领域？比如执法、人力资源培训和社会工作？建立信任和融洽关系的技能至关重要。

This Small Business Innovation Research (SBIR) Phase II project will complete development of the Artificial Intelligent (AI) Patient platform. This immersive simulation platform helps medical students hone their listening and rapport-building skills by interacting with ?virtual? patients. The student asks questions and the video clip response from the patient depends on the specific question asked, how that question is asked, and when it is asked in the interview. If the student asks the wrong question, or asks inappropriate questions, then the patient will respond in a way that will prevent a positive doctor-patient relationship from developing. Because it combines video clips and artificial intelligence and is web-based, we anticipate that this training platform will teach a medical school student (and other health professionals) how to really pay attention to their patients, and that it will do so more effectively than other training products already on the market. In Phase II, we will complete the platform build, incorporate additional artificial intelligence and speech recognition capabilities, create versions of the platform that will work on smart phones and tablets, and develop a set of six patient scenarios. This work will result in a platform that closely approximates a natural conversational experience.The broader impact/commercial potential of this project will be to achieve a significant advancement over currently available computer-based training and other instructional tools. Medical schools are experiencing a transition from passive to active methods of teaching, as professors and students both have the desire to replace passive learning methods of PowerPoint slides, lectures, and instructional videos with more interactive methods of learning. The active experience provided by the AI Patient platform will help students learn to be more effective listeners and better health practitioners, which will result in better patient outcomes. The platform will also allow researchers to track and measure the effectiveness of using this kind of training tool. By working with our medical school teaming partners (West Virginia University School of Medicine and the West Virginia School of Osteopathic Medicine), we will develop a set of scenarios that we can license to other medical schools. Sales to the medical school community will support the development of more medical scenarios and enable us to expand into other sectors?such as law enforcement, HR training, and social work?where trust and rapport-building skills are critical.