Toward Value-Based Healthcare through Interactive Process Mining in Emergency Rooms: The Stroke Case

The application of Value-based Healthcare requires not only the identification of key processes in the clinical domain but also an adequate analysis of the value chain delivered to the patient. Data Science and Big Data approaches are technologies that enable the creation of accurate systems that mo...

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Main Authors: Gema Ibanez-Sanchez, Carlos Fernandez-Llatas, Antonio Martinez-Millana, Angeles Celda, Jesus Mandingorra, Lucia Aparici-Tortajada, Zoe Valero-Ramon, Jorge Munoz-Gama, Marcos Sepúlveda, Eric Rojas, Víctor Gálvez, Daniel Capurro, Vicente Traver
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Online Access:https://www.mdpi.com/1660-4601/16/10/1783
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spelling doaj-e95b028c99994bc184e5784bb11c93ff2020-11-25T01:37:20ZengMDPI AGInternational Journal of Environmental Research and Public Health1660-46012019-05-011610178310.3390/ijerph16101783ijerph16101783Toward Value-Based Healthcare through Interactive Process Mining in Emergency Rooms: The Stroke CaseGema Ibanez-Sanchez0Carlos Fernandez-Llatas1Antonio Martinez-Millana2Angeles Celda3Jesus Mandingorra4Lucia Aparici-Tortajada5Zoe Valero-Ramon6Jorge Munoz-Gama7Marcos Sepúlveda8Eric Rojas9Víctor Gálvez10Daniel Capurro11Vicente Traver12SABIEN-ITACA, Universitat Politècnica de València, 46022 València, SpainSABIEN-ITACA, Universitat Politècnica de València, 46022 València, SpainSABIEN-ITACA, Universitat Politècnica de València, 46022 València, SpainHospital General de Valencia, Av. de les Tres Creus, 2, 46014 València, SpainHospital General de Valencia, Av. de les Tres Creus, 2, 46014 València, SpainSABIEN-ITACA, Universitat Politècnica de València, 46022 València, SpainSABIEN-ITACA, Universitat Politècnica de València, 46022 València, SpainSchool of Engineering, Pontificia Universidad Católica de Chile, Santiago 8320000, ChileSchool of Engineering, Pontificia Universidad Católica de Chile, Santiago 8320000, ChileSchool of Medicine, Pontificia Universidad Católica de Chile, Santiago 8320000, ChileSchool of Engineering, Pontificia Universidad Católica de Chile, Santiago 8320000, ChileSchool of Medicine, Pontificia Universidad Católica de Chile, Santiago 8320000, ChileSABIEN-ITACA, Universitat Politècnica de València, 46022 València, SpainThe application of Value-based Healthcare requires not only the identification of key processes in the clinical domain but also an adequate analysis of the value chain delivered to the patient. Data Science and Big Data approaches are technologies that enable the creation of accurate systems that model reality. However, classical Data Mining techniques are presented by professionals as black boxes. This evokes a lack of trust in those techniques in the medical domain. Process Mining technologies are human-understandable Data Science tools that can fill this gap to support the application of Value-Based Healthcare in real domains. The aim of this paper is to perform an analysis of the ways in which Process Mining techniques can support health professionals in the application of Value-Based Technologies. For this purpose, we explored these techniques by analyzing emergency processes and applying the critical timing of Stroke treatment and a Question-Driven methodology. To demonstrate the possibilities of Process Mining in the characterization of the emergency process, we used a real log with 9046 emergency episodes from 2145 stroke patients that occurred from January 2010 to June 2017. Our results demonstrate how Process Mining technology can highlight the differences between the flow of stroke patients compared with that of other patients in an emergency. Further, we show that support for health professionals can be provided by improving their understanding of these techniques and enhancing the quality of care.https://www.mdpi.com/1660-4601/16/10/1783process miningstrokeemergencyvalue-based healthcareinteractive
collection DOAJ
language English
format Article
sources DOAJ
author Gema Ibanez-Sanchez
Carlos Fernandez-Llatas
Antonio Martinez-Millana
Angeles Celda
Jesus Mandingorra
Lucia Aparici-Tortajada
Zoe Valero-Ramon
Jorge Munoz-Gama
Marcos Sepúlveda
Eric Rojas
Víctor Gálvez
Daniel Capurro
Vicente Traver
spellingShingle Gema Ibanez-Sanchez
Carlos Fernandez-Llatas
Antonio Martinez-Millana
Angeles Celda
Jesus Mandingorra
Lucia Aparici-Tortajada
Zoe Valero-Ramon
Jorge Munoz-Gama
Marcos Sepúlveda
Eric Rojas
Víctor Gálvez
Daniel Capurro
Vicente Traver
Toward Value-Based Healthcare through Interactive Process Mining in Emergency Rooms: The Stroke Case
International Journal of Environmental Research and Public Health
process mining
stroke
emergency
value-based healthcare
interactive
author_facet Gema Ibanez-Sanchez
Carlos Fernandez-Llatas
Antonio Martinez-Millana
Angeles Celda
Jesus Mandingorra
Lucia Aparici-Tortajada
Zoe Valero-Ramon
Jorge Munoz-Gama
Marcos Sepúlveda
Eric Rojas
Víctor Gálvez
Daniel Capurro
Vicente Traver
author_sort Gema Ibanez-Sanchez
title Toward Value-Based Healthcare through Interactive Process Mining in Emergency Rooms: The Stroke Case
title_short Toward Value-Based Healthcare through Interactive Process Mining in Emergency Rooms: The Stroke Case
title_full Toward Value-Based Healthcare through Interactive Process Mining in Emergency Rooms: The Stroke Case
title_fullStr Toward Value-Based Healthcare through Interactive Process Mining in Emergency Rooms: The Stroke Case
title_full_unstemmed Toward Value-Based Healthcare through Interactive Process Mining in Emergency Rooms: The Stroke Case
title_sort toward value-based healthcare through interactive process mining in emergency rooms: the stroke case
publisher MDPI AG
series International Journal of Environmental Research and Public Health
issn 1660-4601
publishDate 2019-05-01
description The application of Value-based Healthcare requires not only the identification of key processes in the clinical domain but also an adequate analysis of the value chain delivered to the patient. Data Science and Big Data approaches are technologies that enable the creation of accurate systems that model reality. However, classical Data Mining techniques are presented by professionals as black boxes. This evokes a lack of trust in those techniques in the medical domain. Process Mining technologies are human-understandable Data Science tools that can fill this gap to support the application of Value-Based Healthcare in real domains. The aim of this paper is to perform an analysis of the ways in which Process Mining techniques can support health professionals in the application of Value-Based Technologies. For this purpose, we explored these techniques by analyzing emergency processes and applying the critical timing of Stroke treatment and a Question-Driven methodology. To demonstrate the possibilities of Process Mining in the characterization of the emergency process, we used a real log with 9046 emergency episodes from 2145 stroke patients that occurred from January 2010 to June 2017. Our results demonstrate how Process Mining technology can highlight the differences between the flow of stroke patients compared with that of other patients in an emergency. Further, we show that support for health professionals can be provided by improving their understanding of these techniques and enhancing the quality of care.
topic process mining
stroke
emergency
value-based healthcare
interactive
url https://www.mdpi.com/1660-4601/16/10/1783
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