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Applying process mining in health technology assessment.
Dallagassa, Marcelo Rosano; Iachecen, Franciele; Furlan, Luiz Henrique Picolo; Ioshii, Sérgio Ossamu; Carvalho, Deborah Ribeiro.
Afiliação
  • Dallagassa MR; Graduate Program on Health Technology (PPGTS), Pontifical Catholic University of Parana, Curitiba, Paraná Brazil.
  • Iachecen F; Unimed Federation of the State of Paraná, NIIS, Curitiba, Paraná Brazil.
  • Furlan LHP; Graduate Program on Health Technology (PPGTS), Pontifical Catholic University of Parana, Curitiba, Paraná Brazil.
  • Ioshii SO; Unimed Federation of the State of Paraná, NIIS, Curitiba, Paraná Brazil.
  • Carvalho DR; Graduate Program on Health Technology (PPGTS), Pontifical Catholic University of Parana, Curitiba, Paraná Brazil.
Health Technol (Berl) ; 12(5): 931-941, 2022.
Article em En | MEDLINE | ID: mdl-36035520
ABSTRACT

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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Health_technology_assessment / Prognostic_studies Idioma: En Revista: Health Technol (Berl) Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Health_technology_assessment / Prognostic_studies Idioma: En Revista: Health Technol (Berl) Ano de publicação: 2022 Tipo de documento: Article