Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/39166
Title: ProDeM: A Process-Oriented Delphi method for systematic asynchronous and consensual surgical process modelling
Authors: Gonzalez-Lopez, Fernanda
MARTIN, Niels 
de la Fuente, Rene
Galvez-Yanjari, Victor
Guzmán, Javiera
Kattan, Eduardo
Sepúlveda, Marcos
Munoz-Gama, Jorge
Issue Date: 2023
Publisher: Elsevier
Source: ARTIFICIAL INTELLIGENCE IN MEDICINE, 135 (Art N° 102426)
Abstract: Surgical 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.
Keywords: Delphi study;Collaborative process modelling;Adaptable and flexible process modelling;Process model;Surgical process;Regional anaesthesia
Document URI: http://hdl.handle.net/1942/39166
ISSN: 0933-3657
e-ISSN: 1873-2860
DOI: 10.1016/j.artmed.2022.102426
ISI #: 000892449400002
Rights: 2022 Elsevier B.V. All rights reserved
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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