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

这个小企业创新研究（SBIR）二期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帮助医学生通过与虚拟的互动来磨练他们的倾听和建立融洽关系的技能。病人。学生提问，病人的视频回应取决于具体的提问，提问的方式，以及在面试中提问的时间。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（以及其他卫生专业人员）如何真正关注他们的病人，而且它将比市场上已有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，并开发一组六个患者场景。这项工作将产生一个非常接近自然对话体验的平台。这个项目的更广泛的影响/商业潜力将是取得比目前现有的以计算机为基础的培训和其他教学工具的重大进步。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多的互动学习方法取代ppt幻灯片、讲座和教学视频等被动学习方法。人工智能患者平台提供的主动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团队合作伙伴（西弗吉尼亚大学医学院和西弗吉尼亚骨科医学院）合作，我们将开发一套场景，我们可以授权给其他医学院。向医学院社区的销售将支持更多医疗场景的发展，并使我们能够扩展到其他领域？比如执法、人力资源培训和社会工作？在这里，信任和建立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.