Development of Surgical Error Reduction System (SERS) for Laparoscopic Appendectomy by using Observational Human Reliability Analysis (OCHRA) model and to analyse its impact on patient outcomes

Girivasan Muthukumarasamy; Samer Zino; Benjie Tang; Pradeep Patil

doi:10.29337/ijsp.181

Development of Surgical Error Reduction System (SERS) for Laparoscopic Appendectomy by using Observational Human Reliability Analysis (OCHRA) model and to analyse its impact on patient outcomes

Girivasan Muthukumarasamy (Lead / Corresponding author)
, Samer Zino
, Benjie Tang
, Pradeep Patil

Undergraduate Medicine

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

111 Downloads (Pure)

Abstract

This project is to develop a surgical error reduction system (SERS) for laparoscopic appendectomy by using observational Human Reliability Analysis (OCHRA) model and to analyse it impact on patient’s outcome.

Original language	English
Pages (from-to)	81-87
Number of pages	7
Journal	International Journal of Surgery: Protocols
Volume	26
Issue number	1
DOIs	https://doi.org/10.29337/ijsp.181
Publication status	Published - 21 Sept 2022

Keywords

laparoscopic surgery
appendectomy
training
error analysis

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10.29337/ijsp.181Licence: CC BY

Final Published VersionFinal published version, 911 KBLicence: CC BY

Cite this

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title = "Development of Surgical Error Reduction System (SERS) for Laparoscopic Appendectomy by using Observational Human Reliability Analysis (OCHRA) model and to analyse its impact on patient outcomes",

abstract = "This project is to develop a surgical error reduction system (SERS) for laparoscopic appendectomy by using observational Human Reliability Analysis (OCHRA) model and to analyse it impact on patient{\textquoteright}s outcome.",

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author = "Girivasan Muthukumarasamy and Samer Zino and Benjie Tang and Pradeep Patil",

year = "2022",

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Development of Surgical Error Reduction System (SERS) for Laparoscopic Appendectomy by using Observational Human Reliability Analysis (OCHRA) model and to analyse its impact on patient outcomes. / Muthukumarasamy, Girivasan (Lead / Corresponding author); Zino, Samer ; Tang, Benjie et al.
In: International Journal of Surgery: Protocols, Vol. 26, No. 1, 21.09.2022, p. 81-87.

Research output: Contribution to journal › Article › peer-review

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T1 - Development of Surgical Error Reduction System (SERS) for Laparoscopic Appendectomy by using Observational Human Reliability Analysis (OCHRA) model and to analyse its impact on patient outcomes

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AU - Zino, Samer

AU - Tang, Benjie

AU - Patil, Pradeep

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N2 - This project is to develop a surgical error reduction system (SERS) for laparoscopic appendectomy by using observational Human Reliability Analysis (OCHRA) model and to analyse it impact on patient’s outcome.

AB - This project is to develop a surgical error reduction system (SERS) for laparoscopic appendectomy by using observational Human Reliability Analysis (OCHRA) model and to analyse it impact on patient’s outcome.

KW - laparoscopic surgery

KW - appendectomy

KW - training

KW - error analysis

U2 - 10.29337/ijsp.181

DO - 10.29337/ijsp.181

M3 - Article

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SN - 2468-3574

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ER -

Development of Surgical Error Reduction System (SERS) for Laparoscopic Appendectomy by using Observational Human Reliability Analysis (OCHRA) model and to analyse its impact on patient outcomes

Abstract

Keywords

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