A recommendation system for intelligent issue management

Plexina Inc.是应用临床智能和临床知识自动化领域的领先创新者。自2005年以来，Plexina一直通过健康信息技术为客户提供帮助。它们为电子健康记录(EHR)的实施提供最尖端的最佳实践和基于证据的临床决策支持(CDS)和自动化解决方案。他们的旗舰产品捕捉并利用了临床团队的专业知识，加快了激活时间，通过提供更多CDS降低了运营成本。软件系统的时效性、安全性、可用性和实用性直接影响到为Plexina客户医院的患者提供的医疗服务的质量。该项目的主要技术目标是设计、开发和实证分析推荐系统，以支持Plexina的开发和运营(DevOps)交互流程。随着越来越多的客户变更请求，S转向电子订单集，公司在其CDS维护、定制和运营流程中面临着越来越复杂的决策。继续以前的Engage项目，拟议的CRD项目的主要业务目标是(O1)对需求变更请求的连锁反应进行描述性和预测性分析，并将其用于确定问题的优先顺序；(O2)资源优化的问题解决；(O3)开发过程测量和分析，以制定关键性能指标，并将其用于发布准备情况监测和预测；(O4)用于检测过程和问题模式及其用于问题解决的数据分析；(O5)设计和实施一个原型建议系统，整合从(O1)到(O4)的结果；以及(O6)对拟议方法的有效性和效率进行案例研究评估。该项目的成功程度直接影响到为Plexina的客户医院提供的医疗服务的及时性和质量。提供的最新和基于证据的知识越多，Plexina提供的电子医疗服务就越成功。这对支持公司有立竿见影的影响，但结果不仅对加拿大的医疗保健提供者具有重要意义，而且在更广泛的范围内也是如此。

Plexina Inc. is a leading innovator in applied clinical intelligence and clinical knowledge automation. Since 2005, Plexina has assisted its customers through health information technology. They offer the most cutting edge best-practice and evidence-based Clinical Decision Support (CDS) and automation solutions for Electronic Health Record (EHR) implementation. Their flagship product captures and capitalizes clinical team's expertise, accelerates the time to activation, reduces operating costs by delivering more CDS. Up-to-date-ness, security, usability and usefulness of the software system has immediate impact on the quality of health services delivered to patients of Plexina's client hospitals.Supporting Plexina's development and operations (DevOps) interaction processes, the main technical goals of the project is the design, development and empirical analysis of a recommendation system. With an increasing volume of customer change requests, s moving to electronic order sets, the company is facing more and more complex decisions in their CDS maintenance, customization and operations processes. Continuing a former ENGAGE project, the main business objectives of the proposed CRD project are (O1) Descriptive and predictive analytics on the ripple effect of requirements change requests and their usage for issue prioritization;(O2) Resource- optimized issue resolution;(O3) Development process measurement and analytics for the development of key performance indicators and their usage for release readiness monitoring and prediction;(O4) Data analytics for detecting process and issue patterns and their usage for issue resolution; (O5) Design and implementation of a prototype recommendation system integrating results from (O1) to (O4), and(O6) Case study evaluation of the effectiveness and efficiency of the proposed approach. The degree of success of this project is of immediate impact on the timeliness and quality of medical services provided to Plexina's client hospitals. The more up-to-date and evidence-based knowledge is provided, the more successful the electronic health care services will be as offered by Plexina. This is of immediate impact for the supporting company, but the results are of importance also in a broader scope for not only health care providers in Canada.