TOPIC 453: THE PERFECT MEDICAL ASSISTANT FOR CANCER PREVENTION WITHIN PRIMARY CARE

在美国，癌症是第二大和最昂贵的死亡原因。每年有超过5亿人次就诊于初级保健医生，通过在初级保健环境中识别高危个体来预防和早期发现癌症，可以显著减少癌症护理和个人和整个社会的费用负担。Perfect Medical Assistant™M （PMA）是一款获得专利的会话式人工智能语音和基于图像的软件应用程序，可收集和评估患者数据，可帮助初级保健医生改进对高危患者的识别并提高他们的工作效率。

Cancer is the second leading and the most expensive cause of death in the United States. With more than 500 million visits a year made to primary care physicians, prevention and early detection of cancer by identification of at-risk individuals in the primary care setting can significantly reduce the cancer care and cost burden to individuals and society at large. The Perfect Medical Assistant ™M (PMA), a patented, conversational Al-powered voice and image-based software application that collects and assesses patient data can assist primary care physicians to improve identification of at-risk patients and improve their productivity. In Phase I, we will demonstrate that the PM effectively overcomes the two major barriers to widespread adoption by PCPs, 1. patient acceptance and usability 2. easy integration into and no-disruption of physician workflows. AIM 1. Demonstrate the feasibility and acceptability of the PMA in a population of potential patient users by testing on up to 400 incentivized, but diverse patients. AIM 2. Demonstrate that the PMA and the generated SOAP (Subjective, Objective, Assessment, Plan) formatted clinical note can be integrated into PCPs' electronic health record systems and workflows as the primary patient intake and cancer risk assessment tool by integrating into the HRs of two PCP practices of at least 25 PCPs each.