Process Mining Methodology for Health Process Tracking Using Real-Time Indoor Location Systems
The definition of efficient and accurate health processes in hospitals is crucial for ensuring an adequate quality of service. Knowing and improving the behavior of the surgical processes in a hospital can improve the number of patients that can be operated on using the same resources. However, the...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2015-11-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/15/12/29769 |
| _version_ | 1811185269331722240 |
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| author | Carlos Fernandez-Llatas Aroa Lizondo Eduardo Monton Jose-Miguel Benedi Vicente Traver |
| author_facet | Carlos Fernandez-Llatas Aroa Lizondo Eduardo Monton Jose-Miguel Benedi Vicente Traver |
| author_sort | Carlos Fernandez-Llatas |
| collection | DOAJ |
| description | The definition of efficient and accurate health processes in hospitals is crucial for ensuring an adequate quality of service. Knowing and improving the behavior of the surgical processes in a hospital can improve the number of patients that can be operated on using the same resources. However, the measure of this process is usually made in an obtrusive way, forcing nurses to get information and time data, affecting the proper process and generating inaccurate data due to human errors during the stressful journey of health staff in the operating theater. The use of indoor location systems can take time information about the process in an unobtrusive way, freeing nurses, allowing them to engage in purely welfare work. However, it is necessary to present these data in a understandable way for health professionals, who cannot deal with large amounts of historical localization log data. The use of process mining techniques can deal with this problem, offering an easily understandable view of the process. In this paper, we present a tool and a process mining-based methodology that, using indoor location systems, enables health staff not only to represent the process, but to know precise information about the deployment of the process in an unobtrusive and transparent way. We have successfully tested this tool in a real surgical area with 3613 patients during February, March and April of 2015. |
| first_indexed | 2024-04-11T13:27:39Z |
| format | Article |
| id | doaj.art-49995ce92269420c956d140282f3142f |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T13:27:39Z |
| publishDate | 2015-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-49995ce92269420c956d140282f3142f2022-12-22T04:22:00ZengMDPI AGSensors1424-82202015-11-011512298212984010.3390/s151229769s151229769Process Mining Methodology for Health Process Tracking Using Real-Time Indoor Location SystemsCarlos Fernandez-Llatas0Aroa Lizondo1Eduardo Monton2Jose-Miguel Benedi3Vicente Traver4Instituto Universitario de Investigación de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politecnica de Valencia, Camino de Vera S/N, Valencia 46022, SpainInstituto Universitario de Investigación de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politecnica de Valencia, Camino de Vera S/N, Valencia 46022, SpainMy Sphera S.L. Ronda Auguste y Louis Lumiere 23, Nave 13, Parque Tecnologico, Paterna 46980, SpainPattern Recognition and Human Language Technology (PRHTL), Universitat Politecnica de Valencia, Camino de Vera S/N, Valencia 46022, SpainInstituto Universitario de Investigación de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politecnica de Valencia, Camino de Vera S/N, Valencia 46022, SpainThe definition of efficient and accurate health processes in hospitals is crucial for ensuring an adequate quality of service. Knowing and improving the behavior of the surgical processes in a hospital can improve the number of patients that can be operated on using the same resources. However, the measure of this process is usually made in an obtrusive way, forcing nurses to get information and time data, affecting the proper process and generating inaccurate data due to human errors during the stressful journey of health staff in the operating theater. The use of indoor location systems can take time information about the process in an unobtrusive way, freeing nurses, allowing them to engage in purely welfare work. However, it is necessary to present these data in a understandable way for health professionals, who cannot deal with large amounts of historical localization log data. The use of process mining techniques can deal with this problem, offering an easily understandable view of the process. In this paper, we present a tool and a process mining-based methodology that, using indoor location systems, enables health staff not only to represent the process, but to know precise information about the deployment of the process in an unobtrusive and transparent way. We have successfully tested this tool in a real surgical area with 3613 patients during February, March and April of 2015.http://www.mdpi.com/1424-8220/15/12/29769process miningindoor location systemshealth process |
| spellingShingle | Carlos Fernandez-Llatas Aroa Lizondo Eduardo Monton Jose-Miguel Benedi Vicente Traver Process Mining Methodology for Health Process Tracking Using Real-Time Indoor Location Systems Sensors process mining indoor location systems health process |
| title | Process Mining Methodology for Health Process Tracking Using Real-Time Indoor Location Systems |
| title_full | Process Mining Methodology for Health Process Tracking Using Real-Time Indoor Location Systems |
| title_fullStr | Process Mining Methodology for Health Process Tracking Using Real-Time Indoor Location Systems |
| title_full_unstemmed | Process Mining Methodology for Health Process Tracking Using Real-Time Indoor Location Systems |
| title_short | Process Mining Methodology for Health Process Tracking Using Real-Time Indoor Location Systems |
| title_sort | process mining methodology for health process tracking using real time indoor location systems |
| topic | process mining indoor location systems health process |
| url | http://www.mdpi.com/1424-8220/15/12/29769 |
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