Integrating an Analytical Business Intelligence Module into the Medical Confidence Machine Learning System

将分析商业智能模块集成到医疗信心机器学习系统中

• 批准号: 530661-2018
• 负责人: Hall, Patrick
• 金额: $ 1.82万
• 依托单位: York University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=652855
• 关键词: Integrating; Analytical; Business; Intelligence; Module

The Medical Confidence Healthcare navigation service identifies potential wait times for medical consultation**and treatment by mapping an individual's case requirements with the 13,500 candidate physicians in the**Medical Confidence physician network. This project will improve the speed and accuracy with which such**mapping can be done by integrating analytical business intelligence technology such as IBM Watson or**Microsoft Power BI into Medical Confidence's existing machine learning / cognitive computing system. This**project will advance the Medical Confidence vision of improving the care Canadians receive through**optimized use of the healthcare system, including ensuring individuals efficient access to the ideal physician**specialists who are ready and able to treat their medical condition. The result is reduced treatment wait times,**improved outcomes, and lower costs for individuals, corporations, physicians, and the healthcare system.

Medical Confidence Healthcare导航服务通过将个人的病例要求与 ** Medical Confidence医生网络中的13，500名候选医生进行映射，确定医疗咨询 ** 和治疗的潜在等待时间。该项目将通过将IBM沃森或 ** Microsoft Power BI等分析商业智能技术集成到Medical Confidence现有的机器学习/认知计算系统中，提高此类 ** 映射的速度和准确性。该项目将推进医疗信心的愿景，即通过优化使用医疗保健系统来改善加拿大人获得的护理，包括确保个人有效地获得理想的医生 ** 专家，他们已经准备好并能够治疗他们的医疗状况。其结果是减少了治疗等待时间，** 改善了结果，并降低了个人，公司，医生和医疗保健系统的成本。