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Collective wisdom and decision making in surgical oncology

Collective wisdom and decision making in surgical oncology
Collective wisdom and decision making in surgical oncology

Aim: To describe systems for capturing and optimising collective knowledge and insight in areas of complexity and uncertainty in surgical oncology, with particular reference to the Delphi process and related systems. Methods: Internet search engines (Google, Google Scholar) and four databases (SCOPUS, PubMed, Medline and Embase) were searched to find English language articles on the use of The Delphi Process and related systems in surgical oncology, using a variety of search terms. Findings: There are a number of established systems for co-opting group knowledge and facilitating collective decision-making. These find applications in commerce, industry, government and defence. They have also been applied to problems in surgical oncology, for example using the Delphi process to optimise the management of colorectal cancers and metastases. Conclusions: Collective decision making tools find practical applications in the allocation of resources and in clinical decision making in fields of surgical oncology practice where there is a wide range of evidence and expert opinion. Such methodologies set new standards for the collating of professional expertise and for the writing of "best clinical practice" guidelines in the cancer subspecialities.

Crowdsourcing, Delphi process, Surgical oncology, Wisdom of crowds
0748-7983
230-236
Robson, N.
410680bf-7c9c-42df-b9e3-58cf32f1a378
Rew, D.
36dcc3ad-2379-4b61-a468-5c623d796887
Robson, N.
410680bf-7c9c-42df-b9e3-58cf32f1a378
Rew, D.
36dcc3ad-2379-4b61-a468-5c623d796887

Robson, N. and Rew, D. (2010) Collective wisdom and decision making in surgical oncology. European Journal of Surgical Oncology, 36 (3), 230-236. (doi:10.1016/j.ejso.2010.01.002).

Record type: Review

Abstract

Aim: To describe systems for capturing and optimising collective knowledge and insight in areas of complexity and uncertainty in surgical oncology, with particular reference to the Delphi process and related systems. Methods: Internet search engines (Google, Google Scholar) and four databases (SCOPUS, PubMed, Medline and Embase) were searched to find English language articles on the use of The Delphi Process and related systems in surgical oncology, using a variety of search terms. Findings: There are a number of established systems for co-opting group knowledge and facilitating collective decision-making. These find applications in commerce, industry, government and defence. They have also been applied to problems in surgical oncology, for example using the Delphi process to optimise the management of colorectal cancers and metastases. Conclusions: Collective decision making tools find practical applications in the allocation of resources and in clinical decision making in fields of surgical oncology practice where there is a wide range of evidence and expert opinion. Such methodologies set new standards for the collating of professional expertise and for the writing of "best clinical practice" guidelines in the cancer subspecialities.

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More information

Accepted/In Press date: 4 January 2010
e-pub ahead of print date: 27 January 2010
Published date: March 2010
Additional Information: Copyright: Copyright 2010 Elsevier B.V., All rights reserved.
Keywords: Crowdsourcing, Delphi process, Surgical oncology, Wisdom of crowds

Identifiers

Local EPrints ID: 447612
URI: http://eprints.soton.ac.uk/id/eprint/447612
ISSN: 0748-7983
PURE UUID: 67748d21-c475-43f9-9f1d-0024b81f0a1f
ORCID for D. Rew: ORCID iD orcid.org/0000-0002-4518-2667

Catalogue record

Date deposited: 16 Mar 2021 17:47
Last modified: 17 Mar 2024 03:56

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Contributors

Author: N. Robson
Author: D. Rew ORCID iD

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