Research and developing a machine intelligence systemfor processing incoming patient insurance payments.

位于不列颠哥伦比亚省乔治王子的新喀里多尼亚和家庭牙科护理学院是一个由五家全方位服务牙科诊所组成的小组，他们正在研究和开发一种机器学习方法，以自动化和改进医疗保健管理中的日常任务。目前，医疗保健管理人员花费大量时间和资源处理患者保险支付信息。该项目将开发一种软件算法，通过“教”计算机分析保险支付表格，识别并从表格中提取重要信息，并将信息和建议填充到中央数据库，从而使这一过程的各个要素自动化。通过使这些过程自动化，该项目寻求开发一种创新的方法，将节省行政工作人员大量的时间和资源。

The College of New Caledonia and Family Dental Care, a group of five full-service dental offices located in Prince George, British Columbia, are researching and developing a machine-learning approach to automate and improve routine tasks in healthcare administration. Currently, healthcare administrative staff spend considerable time and resources processing patient insurance payment information. This project will develop a software algorithm that automates elements of this process by "teaching" a computer to analyze insurance payment forms, recognize and extract important information from forms, and populate a central database with information and recommendations. By automating these processes, this project seeks to develop an innovative approach that will save administrative staff considerable time and resources.