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Applying process mining in health technology assessment
OBJECTIVE: Propose a process mining-based method for Health Technology Assessment. METHODS: Articles dealing with prior studies in Health Technology Assessment using Process Mining were identified. Five research questions were defined to investigate these studies and present important points and des...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395949/ https://www.ncbi.nlm.nih.gov/pubmed/36035520 http://dx.doi.org/10.1007/s12553-022-00692-5 |
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author | Dallagassa, Marcelo Rosano Iachecen, Franciele Furlan, Luiz Henrique Picolo Ioshii, Sérgio Ossamu Carvalho, Deborah Ribeiro |
author_facet | Dallagassa, Marcelo Rosano Iachecen, Franciele Furlan, Luiz Henrique Picolo Ioshii, Sérgio Ossamu Carvalho, Deborah Ribeiro |
author_sort | Dallagassa, Marcelo Rosano |
collection | PubMed |
description | OBJECTIVE: Propose a process mining-based method for Health Technology Assessment. METHODS: Articles dealing with prior studies in Health Technology Assessment using Process Mining were identified. Five research questions were defined to investigate these studies and present important points and desirable characteristics to be addressed in a proposal. The was defined method with five steps and was submitted to a case study for evaluation. RESULTS: The Literature search identified six main characteristics. As a result, the five-step method proposed was applied in the radical prostatectomy surgical procedure between the robot assisted technique and laparoscopy. CONCLUSION: It was demonstrated in this article the creation of the proposal of an efficient method with its replication for other health technologies, coupled with the good interpretation of the specialists in terms of comprehensibility of the discovered patterns and their correlation with clinical protocols and guidelines. |
format | Online Article Text |
id | pubmed-9395949 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-93959492022-08-23 Applying process mining in health technology assessment Dallagassa, Marcelo Rosano Iachecen, Franciele Furlan, Luiz Henrique Picolo Ioshii, Sérgio Ossamu Carvalho, Deborah Ribeiro Health Technol (Berl) Original Paper OBJECTIVE: Propose a process mining-based method for Health Technology Assessment. METHODS: Articles dealing with prior studies in Health Technology Assessment using Process Mining were identified. Five research questions were defined to investigate these studies and present important points and desirable characteristics to be addressed in a proposal. The was defined method with five steps and was submitted to a case study for evaluation. RESULTS: The Literature search identified six main characteristics. As a result, the five-step method proposed was applied in the radical prostatectomy surgical procedure between the robot assisted technique and laparoscopy. CONCLUSION: It was demonstrated in this article the creation of the proposal of an efficient method with its replication for other health technologies, coupled with the good interpretation of the specialists in terms of comprehensibility of the discovered patterns and their correlation with clinical protocols and guidelines. Springer Berlin Heidelberg 2022-08-23 2022 /pmc/articles/PMC9395949/ /pubmed/36035520 http://dx.doi.org/10.1007/s12553-022-00692-5 Text en © The Author(s) under exclusive licence to International Union for Physical and Engineering Sciences in Medicine (IUPESM) 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Paper Dallagassa, Marcelo Rosano Iachecen, Franciele Furlan, Luiz Henrique Picolo Ioshii, Sérgio Ossamu Carvalho, Deborah Ribeiro Applying process mining in health technology assessment |
title | Applying process mining in health technology assessment |
title_full | Applying process mining in health technology assessment |
title_fullStr | Applying process mining in health technology assessment |
title_full_unstemmed | Applying process mining in health technology assessment |
title_short | Applying process mining in health technology assessment |
title_sort | applying process mining in health technology assessment |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395949/ https://www.ncbi.nlm.nih.gov/pubmed/36035520 http://dx.doi.org/10.1007/s12553-022-00692-5 |
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