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The improvement of the clinical decision-making through the Business Intelligence

机译:通过商业智能改善临床决策

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Much work has been done on applying Business Intelligence (BI) in the healthcare sector. Most of these studies were focused only on Information Technology (e.g., to improve the Information and Communication Technology architectures and data management systems) or medical (e.g., to support prognoses and diagnoses) aspects, while the usage of BI for improving the management of healthcare processes is still overlooked. This research aims at filling this gap by investigating whether a decision support system (DSS) based on the exploitation of data through BI can outperform traditional experience-driven practices for managing processes in the healthcare domain. To accomplish this objective, we develop a DSS for reducing the overall costs of a specific healthcare process in the oncology field. The DSS was developed in two versions: the first is experience-driven (i.e., based only on scientific and historical literature and physicians’ experience data), while the second is data-driven (i.e., based on additional information coming from hospital data). The results of our study demonstrate that the usage of BI for managing the healthcare processes proved to improve traditional activities and processes mostly based only on the physicians’ experience, both from a business (i.e., costs reduction) and managerial (i.e., effectiveness improving) point of view.
机译:在医疗保健部门应用商业智能(BI),已经完成了很多工作。这些研究中的大多数仅集中在信息技术(例如,改善信息和通信技术架构和数据管理系统)或医疗(例如,支持预后和诊断)方面,而BI用于改善医疗保健管理的使用流程仍然被忽视。本研究旨在通过调查基于数据的利用,通过BI的利用来调查决策支持系统(DSS)来填补这种差距,可以优于传统的经验驱动的实践,以便管理医疗保健领域的进程。为了实现这一目标,我们开发了一种用于降低肿瘤学领域特定医疗过程的总成本的DSS。 DSS在两个版本中开发:第一个是经验驱动的(即只有基于科学和历史文献和医生的体验数据),而第二个是数据驱动(即,基于来自医院数据的其他信息) 。我们的研究结果表明,BI的使用管理医疗过程证明,证明,只有在业务(即成本)和管理(即有效改善的成本)和管理(即,有效改善)的医生体验中,主要基于医生的经验改善传统活动和流程观点看法。

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