Development of predictive analytics and business intelligence tools for improved patient management using intelligent decision support systems

该项目的目的是开发可集成到医疗保健合作伙伴正在开发的决策支持系统中的预测分析和商业智能工具；阿尔法全球IT作为其旗舰电子医疗记录GlobeMed的一个模块。阿尔法全球IT致力于开发先进的医疗IT解决方案，利用预测分析和商业智能来提高该省和全国患者的医疗质量。预测性分析和建模工具将被用来“分层”人群，识别高危患者，提供更好的供应筛查测试，并确定护理方面的差距。在这项特殊的研究中，研究团队处理了医疗保健合作伙伴感兴趣的以下任务：(1)开发预测分析和建模工具，利用贝叶斯网络根据新癌症发病率的预测来预测医疗保健系统的负载。因此，这些预测模型可用于深入了解医疗保健系统所需的资源，以便有效地管理预计的癌症发生并提供所需的护理水平，(2)通过引入进化计算方法来扩展阿尔法全球IT的非线性优化工具，以创建用于改进临床资源分配的调度工具。此工具可用于实现医疗保健组织的绩效目标(所需程序数量、等待时间要求、地理位置等)。在护理时需要商业智能工具，这样医生就可以快速解释数据，定义“健康干预”，并支持专家转介和疾病管理等行动。在这方面，这项研究计划引入新的工具，从临床记录中提取适应性信息，以帮助为最佳实践创建证据。这种自适应信息提取工具将是医疗保健合作伙伴推出的临床决策支持系统的一个关键功能。

The purpose of this project is to develop predictive analytics and business intelligence tools that can be integrated into the decision support system being developed by the healthcare partner; Alpha Global IT as a module of the their flagship electronic Medical Record, Globemed. Alpha Global IT is committed to the development of advanced healthcare IT solutions that utilize predictive analysis and business intelligence in order to improve the quality of healthcare for patients within the Province and Nationwide. Predictive analytics and modeling tools will be used to "stratify" the population, identify at-risk patients, provide better provision screening tests, and identify gaps in care. In this particular research, the research team tackle the following tasks that are of interest to the Healthcare partner: (1) developing predictive analytics and modeling tools that utilize Bayesian networks to forecast the load on the healthcare system in terms of the projections for new incidences of cancer. These predictive models can hence be used to provide insight into the resources needed by the healthcare system in order to effectively manage the projected cancer occurrences and provide the level of care needed, (2) extend Alpha Global IT's nonlinear optimization tools through the introduction evolutionary computation methods in order to create a scheduling tool for improved allocation of clinical resources. This tool can be used to achieve healthcare organization performance targets (required number of procedures, wait time requirements, geographic locations, etc.). Business intelligence tools are needed at the point of care, so physicians can quickly interpret data, define "health interventions," and support actions such as specialist referrals, and disease management. On this front, this research program plans to introduce novel tools for adaptive information extraction from clinical records to help create evidence for best practice. Such adaptive information extraction tools will be a key feature of the clinical decision support system introduced by the healthcare partner.