Literature DB >> 15562063

The use of high-fidelity human patient simulation and the introduction of new anesthesia delivery systems.

Paul Dalley1, Brian Robinson, Jennifer Weller, Catherine Caldwell.   

Abstract

New anesthesia delivery systems are becoming increasingly complex. Although equipment is involved in a large proportion of intraoperative anesthesia problems (most also involving human error), the current methods of introducing new equipment into clinical practice have not been well studied. We designed a randomized, controlled, prospective study to investigate an alternative method of introducing new anesthesia equipment. Fifteen anesthesiology trainees were randomized to either the standard introduction to a Drager Fabius GS anesthesia delivery machine plus simulated clinical use of the new machine in a high-fidelity human patient simulator (HPS) (Group 1) or to the standard introduction alone (Group 2). We used a questionnaire to seek their opinion on the new equipment, and responses showed that both groups were comparable in their reported confidence to use the new equipment safely. All trainees were then tested in two simulated anesthetic crises with the new machine. Performance was analyzed in terms of time to resolve the emergency, by using analysis of videos by an independent rater. Group 1 resolved both crises significantly faster. HPS allowed us to detect design features that were common sources of error.

Entities:  

Mesh:

Year:  2004        PMID: 15562063     DOI: 10.1213/01.ANE.0000136804.46675.EA

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  8 in total

1.  From Socrates to Virtual Reality: A Historical Review of Learning Theories and Their Influence on the Training of Anesthesiologists.

Authors:  Thomas J Caruso; Jimmy Qian; Kiley Lawrence; Emma Armstrong-Carter; Benjamin W Domingue
Journal:  J Educ Perioper Med       Date:  2020-04-01

2.  Survey on understanding after anesthetic induction simulation training in medical students' anesthesiology practice.

Authors:  Ji Seon Jeong; Joo-Won Cho; Tae Ho Lim; Mi Ae Jeong
Journal:  Korean J Anesthesiol       Date:  2013-05

3.  Self-reported ratings appear to be the best for workload measurement.

Authors:  Craig S Webster; Jennifer M Weller
Journal:  BMJ Simul Technol Enhanc Learn       Date:  2018-07-09

4.  High-fidelity simulation in post-graduate training and assessment: an Irish perspective.

Authors:  M G Langdon; A J Cunningham
Journal:  Ir J Med Sci       Date:  2007-08-29       Impact factor: 1.568

5.  Human factors and the cardiac surgical team: a role for simulation.

Authors:  Alan F Merry
Journal:  J Extra Corpor Technol       Date:  2007-12

6.  High fidelity medical simulation in the difficult environment of a helicopter: feasibility, self-efficacy and cost.

Authors:  Stewart W Wright; Christopher J Lindsell; William R Hinckley; Annette Williams; Carolyn Holland; Christopher H Lewis; Gail Heimburger
Journal:  BMC Med Educ       Date:  2006-10-05       Impact factor: 2.463

Review 7.  Safety features in anaesthesia machine.

Authors:  M Subrahmanyam; S Mohan
Journal:  Indian J Anaesth       Date:  2013-09

8.  The effects of substitute multisensory feedback on task performance and the sense of presence in a virtual reality environment.

Authors:  Natalia Cooper; Ferdinando Milella; Carlo Pinto; Iain Cant; Mark White; Georg Meyer
Journal:  PLoS One       Date:  2018-02-01       Impact factor: 3.240

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.