Literature DB >> 28363285

DisTeam: A decision support tool for surgical team selection.

Ashkan Ebadi1, Patrick J Tighe2, Lei Zhang2, Parisa Rashidi3.   

Abstract

OBJECTIVE: Surgical service providers play a crucial role in the healthcare system. Amongst all the influencing factors, surgical team selection might affect the patients' outcome significantly. The performance of a surgical team not only can depend on the individual members, but it can also depend on the synergy among team members, and could possibly influence patient outcome such as surgical complications. In this paper, we propose a tool for facilitating decision making in surgical team selection based on considering history of the surgical team, as well as the specific characteristics of each patient.
METHODS: DisTeam (a decision support tool for surgical team selection) is a metaheuristic framework for objective evaluation of surgical teams and finding the optimal team for a given patient, in terms of number of complications. It identifies a ranked list of surgical teams personalized for each patient, based on prior performance of the surgical teams. DisTeam takes into account the surgical complications associated with teams and their members, their teamwork history, as well as patient's specific characteristics such as age, body mass index (BMI) and Charlson comorbidity index score.
RESULTS: We tested DisTeam using intra-operative data from 6065 unique orthopedic surgery cases. Our results suggest high effectiveness of the proposed system in a health-care setting. The proposed framework converges quickly to the optimal solution and provides two sets of answers: a) The best surgical team over all the generations, and b) The best population which consists of different teams that can be used as an alternative solution. This increases the flexibility of the system as a complementary decision support tool.
CONCLUSION: DisTeam is a decision support tool for assisting in surgical team selection. It can facilitate the job of scheduling personnel in the hospital which involves an overwhelming number of factors pertaining to patients, individual team members, and team dynamics and can be used to compose patient-personalized surgical teams with minimum (potential) surgical complications.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Decision support; Genetic algorithm; Intra-operative; Orthopedics; Patients’ outcome; Surgical team selection

Mesh:

Year:  2017        PMID: 28363285      PMCID: PMC5892206          DOI: 10.1016/j.artmed.2017.02.002

Source DB:  PubMed          Journal:  Artif Intell Med        ISSN: 0933-3657            Impact factor:   5.326


  29 in total

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Authors:  J B Sexton; E J Thomas; R L Helmreich
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2.  Team communications in the operating room: talk patterns, sites of tension, and implications for novices.

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Journal:  Am J Med Qual       Date:  2011-08-10       Impact factor: 1.852

Review 5.  The Applications of Genetic Algorithms in Medicine.

Authors:  Ali Ghaheri; Saeed Shoar; Mohammad Naderan; Sayed Shahabuddin Hoseini
Journal:  Oman Med J       Date:  2015-11

6.  Team assembly mechanisms determine collaboration network structure and team performance.

Authors:  Roger Guimerà; Brian Uzzi; Jarrett Spiro; Luís A Nunes Amaral
Journal:  Science       Date:  2005-04-29       Impact factor: 47.728

7.  Assessing the performance of surgical teams.

Authors:  Linda Searle Leach; Robert C Myrtle; Fred A Weaver; Sriram Dasu
Journal:  Health Care Manage Rev       Date:  2009 Jan-Mar

8.  Complications occurring in the postanesthesia care unit: a survey.

Authors:  R Hines; P G Barash; G Watrous; T O'Connor
Journal:  Anesth Analg       Date:  1992-04       Impact factor: 5.108

9.  Analysis of surgical errors in closed malpractice claims at 4 liability insurers.

Authors:  Selwyn O Rogers; Atul A Gawande; Mary Kwaan; Ann Louise Puopolo; Catherine Yoon; Troyen A Brennan; David M Studdert
Journal:  Surgery       Date:  2006-07       Impact factor: 3.982

10.  Surgical team behaviors and patient outcomes.

Authors:  Karen Mazzocco; Diana B Petitti; Kenneth T Fong; Doug Bonacum; John Brookey; Suzanne Graham; Robert E Lasky; J Bryan Sexton; Eric J Thomas
Journal:  Am J Surg       Date:  2008-09-11       Impact factor: 2.565

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