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

医疗信心医疗导航服务通过将个人的病例要求与**医疗信心医生网络中的13,500名候选医生对应起来，确定医疗咨询和治疗的潜在等待时间。该项目将通过将IBM Watson或Microsoft Power BI等分析性商业智能技术集成到医疗信心公司现有的机器学习/认知计算系统中，提高完成此类**映射的速度和精度。该**项目将推进医疗信心愿景，即通过**优化使用医疗保健系统，包括确保个人能够有效地接触到准备好并能够治疗其医疗状况的理想医生**专家，来改善加拿大人得到的护理。其结果是减少了治疗等待时间，**改善了结果，并降低了个人、企业、医生和医疗保健系统的成本。

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.