Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/39166
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dc.contributor.authorGonzalez-Lopez, Fernanda-
dc.contributor.authorMARTIN, Niels-
dc.contributor.authorde la Fuente, Rene-
dc.contributor.authorGalvez-Yanjari, Victor-
dc.contributor.authorGuzmán, Javiera-
dc.contributor.authorKattan, Eduardo-
dc.contributor.authorSepúlveda, Marcos-
dc.contributor.authorMunoz-Gama, Jorge-
dc.date.accessioned2023-01-05T12:09:46Z-
dc.date.available2023-01-05T12:09:46Z-
dc.date.issued2023-
dc.date.submitted2022-12-15T13:22:12Z-
dc.identifier.citationARTIFICIAL INTELLIGENCE IN MEDICINE, 135 (Art N° 102426)-
dc.identifier.urihttp://hdl.handle.net/1942/39166-
dc.description.abstractSurgical process models support improving healthcare provision by facilitating communication and reasoning about processes in the medical domain. Modelling surgical processes is challenging as it requires integrating information that might be fragmented, scattered, and not process-oriented. These challenges can be faced by involving healthcare domain experts during process modelling. This paper presents ProDeM: a novel Process-Oriented Delphi Method for the systematic, asynchronous, and consensual modelling of surgical processes. ProDeM is an adaptable and flexible method that acknowledges that: (i) domain experts have busy calendars and might be geographically dispersed, and (ii) various elements of the process model need to be assessed to ensure model quality. The contribution of the paper is twofold as it outlines ProDeM, but also demonstrates its operationalisation in the context of a well-known surgical process. Besides showing the method’s feasibility in practice, we also present an evaluation of the method by the experts involved in the demonstration.-
dc.description.sponsorshipThis work was supported by the Agencia Nacional de Investi-gación y Desarrollo (ANID) under ANID FONDECYT 3210147, ANID FONDECYT 1200206 and ANID FONDECYT 1220202 projects, ANID- PFCHA/Doctorado Nacional/2019-21190116 and ANID-PFCHA/Doctorado Nacional/2020-21201411 doctoral scholarships. We would especially like to thank the physicians who participated in the expert panel and in the pilot tests of our study-
dc.language.isoen-
dc.publisherElsevier-
dc.rights2022 Elsevier B.V. All rights reserved-
dc.subject.otherDelphi study-
dc.subject.otherCollaborative process modelling-
dc.subject.otherAdaptable and flexible process modelling-
dc.subject.otherProcess model-
dc.subject.otherSurgical process-
dc.subject.otherRegional anaesthesia-
dc.titleProDeM: A Process-Oriented Delphi method for systematic asynchronous and consensual surgical process modelling-
dc.typeJournal Contribution-
dc.identifier.volume135-
local.bibliographicCitation.jcatA1-
local.publisher.placeRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.bibliographicCitation.artnr102426-
dc.identifier.doi10.1016/j.artmed.2022.102426-
dc.identifier.isi000892449400002-
local.provider.typeCrossRef-
local.uhasselt.internationalyes-
item.fullcitationGonzalez-Lopez, Fernanda; MARTIN, Niels; de la Fuente, Rene; Galvez-Yanjari, Victor; Guzmán, Javiera; Kattan, Eduardo; Sepúlveda, Marcos & Munoz-Gama, Jorge (2023) ProDeM: A Process-Oriented Delphi method for systematic asynchronous and consensual surgical process modelling. In: ARTIFICIAL INTELLIGENCE IN MEDICINE, 135 (Art N° 102426).-
item.contributorGonzalez-Lopez, Fernanda-
item.contributorMARTIN, Niels-
item.contributorde la Fuente, Rene-
item.contributorGalvez-Yanjari, Victor-
item.contributorGuzmán, Javiera-
item.contributorKattan, Eduardo-
item.contributorSepúlveda, Marcos-
item.contributorMunoz-Gama, Jorge-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
crisitem.journal.issn0933-3657-
crisitem.journal.eissn1873-2860-
Appears in Collections:Research publications
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