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

Autor: Ibanez-Sanchez G; SABIEN-ITACA, Universitat Politècnica de València, 46022 València, Spain. geibsan@itaca.upv.es., Fernandez-Llatas C; SABIEN-ITACA, Universitat Politècnica de València, 46022 València, Spain. cfllatas@itaca.upv.es.; Unidad Mixta de Reingeniería de Procesos Sociosanitarios (eRPSS), Instituto de Investigaciń Sanitaria del Hospital Universitario y Politecnico La Fe, Bulevar Sur S/N, 46026 València, Spain. cfllatas@itaca.upv.es., Martinez-Millana A; SABIEN-ITACA, Universitat Politècnica de València, 46022 València, Spain. anmarmil@itaca.upv.es., Celda A; Hospital General de Valencia, Av. de les Tres Creus, 2, 46014 València, Spain. angelescelda@gmail.com., Mandingorra J; Hospital General de Valencia, Av. de les Tres Creus, 2, 46014 València, Spain. mandingorra_jes@gva.es.; School of Nursing, Universidad Católica de Valencia, 46022 València, Spain. mandingorra_jes@gva.es., Aparici-Tortajada L; SABIEN-ITACA, Universitat Politècnica de València, 46022 València, Spain. luaptor@itaca.upv.es., Valero-Ramon Z; SABIEN-ITACA, Universitat Politècnica de València, 46022 València, Spain. zoevara@itaca.upv.es., Munoz-Gama J; School of Engineering, Pontificia Universidad Católica de Chile, Santiago 8320000, Chile. jmun@ing.puc.cl., Sepúlveda M; School of Engineering, Pontificia Universidad Católica de Chile, Santiago 8320000, Chile. marcos@ing.puc.cl., Rojas E; School of Medicine, Pontificia Universidad Católica de Chile, Santiago 8320000, Chile. eric.rojas@uc.cl., Gálvez V; School of Engineering, Pontificia Universidad Católica de Chile, Santiago 8320000, Chile. vagalvez@uc.cl., Capurro D; School of Medicine, Pontificia Universidad Católica de Chile, Santiago 8320000, Chile. dcapurro@med.puc.cl., Traver V; SABIEN-ITACA, Universitat Politècnica de València, 46022 València, Spain. vtraver@itaca.upv.es.; Unidad Mixta de Reingeniería de Procesos Sociosanitarios (eRPSS), Instituto de Investigaciń Sanitaria del Hospital Universitario y Politecnico La Fe, Bulevar Sur S/N, 46026 València, Spain. vtraver@itaca.upv.es.
Jazyk: angličtina
Zdroj: International journal of environmental research and public health [Int J Environ Res Public Health] 2019 May 20; Vol. 16 (10). Date of Electronic Publication: 2019 May 20.
DOI: 10.3390/ijerph16101783
Abstrakt: 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.
Databáze: MEDLINE
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