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

开发预测分析和商业智能工具，使用智能决策支持系统改善患者管理

• 批准号: 446410-2012
• 负责人: Melek, William
• 金额: $ 2万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=575230
• 关键词: Development; predictive; analytics; business; intelligence

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.

该项目的目的是开发预测分析和商业智能工具，这些工具可以集成到医疗保健合作伙伴正在开发的决策支持系统中； Alpha Global IT 作为其旗舰电子病历 Globemed 的一个模块。 Alpha Global IT 致力于开发先进的医疗保健 IT 解决方案，利用预测分析和商业智能来提高全省和全国患者的医疗保健质量。预测分析和建模工具将用于对人群进行“分层”，识别高危患者，提供更好的筛查测试，并找出护理方面的差距。在这项特定研究中，研究团队解决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扩展 Alpha Global IT 的非线性优化工具，以创建一个调度工具来改进临床资源的分配。该工具可用于实现医疗保健组织绩效目标（所需的程序数量、等待时间要求、地理位置等）。护理现场需要商业智能工具，以便医生可以快速解读数据、定义“健康干预措施”并支持专家转诊和疾病管理等行动。在这方面，该研究计划计划引入从临床记录中自适应信息提取的新工具，以帮助为最佳实践创建证据。这种自适应信息提取工具将成为医疗保健合作伙伴引入的临床决策支持系统的一个关键特征。