Evaluating the Process Capability Ratio of Patients' Pathways by the Application of Process Mining, SPC and RTLS

被引：5

作者：

Araghi, Sina Namaki ^{[1
]}

Fontanili, Franck ^{[1
]}

Lamine, Elyes ^{[1
]}

Salatge, Nicolas ^{[1
]}

Lesbegueries, Julien ^{[1
]}

Pouyade, Sebastien Rebiere ^{[1
]}

Benaben, Frederick ^{[1
]}

机构：

[1] Univ Toulouse, Ind Engn Ctr, IMT Mines Albi, F-81000 Albi, France

来源：

HEALTHINF: PROCEEDINGS OF THE 12TH INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES - VOL 5: HEALTHINF | 2019年

关键词：

Real-Time Location Systems; Process Mining; Statistical Process Control; Patient's Pathways; HEALTH-CARE;

D O I：

10.5220/0007380803020309

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Learning how patients receive their health treatments is a critical mission for hospitals. To fulfill this task, this paper defines patients' pathways as business process models and tries to apply process mining, real-time location systems(RTLS), and statistical process control (SPC) as a set of techniques to monitor patients' pathways. This approach has been evaluated by a case study in a hospital living lab. These techniques analyze patients' pathways from two different perspectives: (1)control- flow and (2)performance perspectives. In order to do so, we gathered the location data from movements of patients and used a proof of concept framework known as R.IO-DIAG to discover the processes. To elevate the performance analyses, this paper introduces the process capability ratio of the patients' pathways by measuring the walking distance. The results lead to the evaluation of the quality of business processes.

引用

页码：302 / 309

页数：8

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