EURO 2025 Leeds
Abstract Submission

1402. Leveraging novel delphi processes for enabling behavioural OR and collaborative value modelling in health settings

Invited abstract in session WA-61: Behavioural lessons from OR use in the lab and field, stream Behavioural OR.

Wednesday, 8:30-10:00
Room: Maurice Keyworth G.31

Authors (first author is the speaker)

1. Monica Oliveira
Centre for Management Studies of Instituto Superior Técnico, IST, Universidade de Lisboa
2. Rui Infante
IST, University of Lisbon
3. Edgar Mascarenhas
Center for Management Studies of Instituto Superior Técnico, Instituto Superior Técnico, University of Lisbon
4. Francisco Viterbo
Instituto Superior Técnico (IST), CEGIST

Abstract

Delphi (non-face to face) processes have been widely used to gather expert judgments in multiple contexts, for instance for probability assessment, for scenario building, for indicator selection and for value modelling. Such processes enable gathering and understanding the views of large numbers of individuals, while promoting agreement. Several studies have shown the effectiveness of running Delphi processes to inform model building in Operational Research, particularly within the context of Collaborative Value Modelling in health. Although there are multiple types of Delphi formats, most studies follow traditional and qualitative formats and are far from incorporating model and problem structuring features and from registering the detailed rationales from individuals along the process. Contributing to fill this gap, in this study we present and reflect upon two novel Delphi processes implemented in real health settings: one embedding dialogue mapping within an argumentative Delphi to inform clinical guidelines building in a Haematology Department; and another embedding means-ends networks and value-focused thinking within a Delphi process to define which Entrepreneurship & Innovation competencies and topics should be incorporated in health professionals’ training. We discuss how these processes have been highly effective in promoting a large group agreement and enable behavioural research, as well as discuss the use of artificial intelligence to assist such research.

Keywords

Status: accepted

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