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| DOI | 10.1016/J.JBI.2016.04.007 | ||||
| Año | 2016 | ||||
| Tipo | revisión |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Process Mining focuses on extracting knowledge from data generated and stored in corporate information systems in order to analyze executed processes. In the healthcare domain, process mining has been used in different case studies, with promising results. Accordingly, we have conducted a literature review of the usage of process mining in healthcare. The scope of this review covers 74 papers with associated case studies, all of which were analyzed according to eleven main aspects, including: process and data types; frequently posed questions; process mining techniques, perspectives and tools; methodologies; implementation and analysis strategies; geographical analysis; and medical fields. The most commonly used categories and emerging topics have been identified, as well as future trends, such as enhancing Hospital Information Systems to become process -aware. This review can: (i) provide a useful overview of the current work being undertaken in this field; (ii) help researchers to choose process mining algorithms, techniques, tools, methodologies and approaches for their own applications; and (iii) highlight the use of process mining to improve healthcare processes. (C) 2016 Elsevier Inc. All rights reserved.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | ROJAS-CORDOBA, ERIC EDUARDO | Hombre |
Pontificia Universidad Católica de Chile - Chile
|
| 2 | Munoz-Gama, Jorge | Hombre |
Pontificia Universidad Católica de Chile - Chile
|
| 3 | SEPULVEDA-FERNANDEZ, MARCOS ERNESTO | Hombre |
Pontificia Universidad Católica de Chile - Chile
|
| 4 | Capurro, Daniel | Hombre |
Pontificia Universidad Católica de Chile - Chile
|
| Fuente |
|---|
| Comisión Sectorial de Investigación Científica |
| Fondo Nacional de Desarrollo Científico y Tecnológico |
| Comisión Nacional de Investigación Científica y Tecnológica |
| FONDECYT (Chile) |
| Comisión Nacional de Investigación CientÃfica y Tecnológica |
| Fondo Nacional de Desarrollo CientÃfico y Tecnológico |
| Ministry of Education, Chile |
| Ministerio de Educación, Gobierno de Chile |
| Comision Nacional de Investigacion Cientiifica - CONICYT - Ministry of Education, Chile |
| Agradecimiento |
|---|
| The authors would like to thank the Health Analytics Using Process Mining Team from the Department of Mathematics and Computer Science of Eindhoven University in The Netherlands for the repository of case studies compiled, and which has been used in this review paper. This paper was supported by Fondecyt (Chile) grant No. 1150365 and by the Comision Nacional de Investigacion Cientiifica - CONICYT - Ministry of Education, Chile, Ph.D. Student Fellowships. |
| The authors would like to thank the Health Analytics Using Process Mining Team from the Department of Mathematics and Computer Science of Eindhoven University in The Netherlands for the repository of case studies compiled, and which has been used in this review paper. This paper was supported by FONDECYT (Chile) grants 1150365 , 11130577 and by the Comisión Nacional de Investigación Científica – CONICYT – Ministry of Education, Chile, Ph.D. Student Fellowships. |