Your browser doesn't support javascript.
loading
Recommendations for enhancing the usability and understandability of process mining in healthcare.
Martin, Niels; De Weerdt, Jochen; Fernández-Llatas, Carlos; Gal, Avigdor; Gatta, Roberto; Ibáñez, Gema; Johnson, Owen; Mannhardt, Felix; Marco-Ruiz, Luis; Mertens, Steven; Munoz-Gama, Jorge; Seoane, Fernando; Vanthienen, Jan; Wynn, Moe Thandar; Boilève, David Baltar; Bergs, Jochen; Joosten-Melis, Mieke; Schretlen, Stijn; Van Acker, Bart.
Afiliação
  • Martin N; Research Foundation Flanders (FWO), Belgium; Hasselt University, Belgium; Vrije Universiteit Brussel, Belgium. Electronic address: niels.martin@uhasselt.be.
  • De Weerdt J; KU Leuven, Belgium. Electronic address: jochen.deweerdt@kuleuven.be.
  • Fernández-Llatas C; Universitat Politécnica de Valencia, Spain; Karolinska Institutet, Sweden. Electronic address: cfllatas@itaca.upv.es.
  • Gal A; Technion - Israel Institute of Technology, Israel. Electronic address: avigal@ie.technion.ac.il.
  • Gatta R; Centre Hopitalier Universitaire de Vaudois, Switzerland; Università degli Studi di Brescia, Italy. Electronic address: roberto.gatta.bs@gmail.com.
  • Ibáñez G; Universitat Politécnica de Valencia, Spain. Electronic address: geibsan@itaca.upv.es.
  • Johnson O; Leeds University, United Kingdom. Electronic address: o.a.johnson@leeds.ac.uk.
  • Mannhardt F; SINTEF Digital, Norway; NTNU, Norway. Electronic address: felix.mannhardt@sintef.no.
  • Marco-Ruiz L; Nasjonalt Senter for e-helseforskning, Norway. Electronic address: luis.marco.ruiz@ehealthresearch.no.
  • Mertens S; Ghent University, Belgium. Electronic address: steven.mertens@ugent.be.
  • Munoz-Gama J; Pontificia Universidad Católica de Chile, Chile. Electronic address: jmun@ing.puc.cl.
  • Seoane F; Karolinska Institutet, Sweden; Karolinska University Hospital, Sweden; University of Borås, Sweden. Electronic address: fernando.seoane@ki.se.
  • Vanthienen J; KU Leuven, Belgium. Electronic address: jan.vanthienen@kuleuven.be.
  • Wynn MT; Queensland University of Technology, Australia. Electronic address: m.wynn@qut.edu.au.
  • Boilève DB; Hospital Universitario Lucus Augusti, Spain. Electronic address: david.marcos.baltar.boileve@sergas.es.
  • Bergs J; Hasselt University, Belgium. Electronic address: jochen.bergs@uhasselt.be.
  • Joosten-Melis M; Radboud UMC, The Netherlands. Electronic address: mieke.joosten-melis@radboudumc.nl.
  • Schretlen S; Medtronic Integrated Health Solutions, The Netherlands. Electronic address: stijn.schretlen@medtronic.com.
  • Van Acker B; Radboud UMC, The Netherlands. Electronic address: bart.vanacker@radboudumc.nl.
Artif Intell Med ; 109: 101962, 2020 09.
Article em En | MEDLINE | ID: mdl-34756220
ABSTRACT
Healthcare organizations are confronted with challenges including the contention between tightening budgets and increased care needs. In the light of these challenges, they are becoming increasingly aware of the need to improve their processes to ensure quality of care for patients. To identify process improvement opportunities, a thorough process analysis is required, which can be based on real-life process execution data captured by health information systems. Process mining is a research field that focuses on the development of techniques to extract process-related insights from process execution data, providing valuable and previously unknown information to instigate evidence-based process improvement in healthcare. However, despite the potential of process mining, its uptake in healthcare organizations outside case studies in a research context is rather limited. This observation was the starting point for an international brainstorm seminar. Based on the seminar's outcomes and with the ambition to stimulate a more widespread use of process mining in healthcare, this paper formulates recommendations to enhance the usability and understandability of process mining in healthcare. These recommendations are mainly targeted towards process mining researchers and the community to consider when developing a new research agenda for process mining in healthcare. Moreover, a limited number of recommendations are directed towards healthcare organizations and health information systems vendors, when shaping an environment to enable the continuous use of process mining.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Atenção à Saúde Aspecto: Determinantes_sociais_saude Limite: Humans Idioma: En Revista: Artif Intell Med Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Atenção à Saúde Aspecto: Determinantes_sociais_saude Limite: Humans Idioma: En Revista: Artif Intell Med Ano de publicação: 2020 Tipo de documento: Article