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Risk Assessment on Robotic Surgery Using Bayesian Network

In moving towards Industrial Revolution 4.0, healthcare and medicine are one of the biggest areas of concern which is beneficial to maintaining healthy living. This study seeks to identify the potential problems and risks related to high-technology medical approaches, namely the da Vinci robotic sur...

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Main Authors: Roslan, Teh Raihana Nazirah, Chee, Keong Ch’ng
Format: Article
Language:English
Published: Universiti Putra Malaysia Press 2022
Subjects:
QA Mathematics
Online Access:https://repo.uum.edu.my/id/eprint/30896/1/PJST%2030%2004%202022%202789-2803.pdf
https://doi.org/10.47836/pjst.30.4.27
https://repo.uum.edu.my/id/eprint/30896/
http://www.pertanika.upm.edu.my/pjst/introduction
https://doi.org/10.47836/pjst.30.4.27
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spelling my.uum.repo.308962024-06-23T08:59:45Z https://repo.uum.edu.my/id/eprint/30896/ Risk Assessment on Robotic Surgery Using Bayesian Network Roslan, Teh Raihana Nazirah Chee, Keong Ch’ng QA Mathematics In moving towards Industrial Revolution 4.0, healthcare and medicine are one of the biggest areas of concern which is beneficial to maintaining healthy living. This study seeks to identify the potential problems and risks related to high-technology medical approaches, namely the da Vinci robotic surgical systems, specifically used for thyroidectomy surgery. In particular, the risks embedded in robotic surgeries in terms of health and economy are investigated. Furthermore, a probabilistic risk analysis was conducted to assess the risk among surgeons of the da Vinci robotic surgery using event tree analysis and Bayesian network. This research revealed that the probability of success for surgeons without prior robotic surgery experience was 0.10. It highlights the importance of proper training for medical practitioners in handling advanced medical equipment by considering the related risk involved in patients Universiti Putra Malaysia Press 2022 Article PeerReviewed application/pdf en cc4_by_nc_nd https://repo.uum.edu.my/id/eprint/30896/1/PJST%2030%2004%202022%202789-2803.pdf Roslan, Teh Raihana Nazirah and Chee, Keong Ch’ng (2022) Risk Assessment on Robotic Surgery Using Bayesian Network. Pertanika J. Science & Technology, 30 (4). pp. 2789-2803. ISSN 0128-7680 http://www.pertanika.upm.edu.my/pjst/introduction https://doi.org/10.47836/pjst.30.4.27 https://doi.org/10.47836/pjst.30.4.27
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutional Repository
url_provider http://repo.uum.edu.my/
language English
topic QA Mathematics
spellingShingle QA Mathematics
Roslan, Teh Raihana Nazirah
Chee, Keong Ch’ng
Risk Assessment on Robotic Surgery Using Bayesian Network
description In moving towards Industrial Revolution 4.0, healthcare and medicine are one of the biggest areas of concern which is beneficial to maintaining healthy living. This study seeks to identify the potential problems and risks related to high-technology medical approaches, namely the da Vinci robotic surgical systems, specifically used for thyroidectomy surgery. In particular, the risks embedded in robotic surgeries in terms of health and economy are investigated. Furthermore, a probabilistic risk analysis was conducted to assess the risk among surgeons of the da Vinci robotic surgery using event tree analysis and Bayesian network. This research revealed that the probability of success for surgeons without prior robotic surgery experience was 0.10. It highlights the importance of proper training for medical practitioners in handling advanced medical equipment by considering the related risk involved in patients
format Article
author Roslan, Teh Raihana Nazirah
Chee, Keong Ch’ng
author_facet Roslan, Teh Raihana Nazirah
Chee, Keong Ch’ng
author_sort Roslan, Teh Raihana Nazirah
title Risk Assessment on Robotic Surgery Using Bayesian Network
title_short Risk Assessment on Robotic Surgery Using Bayesian Network
title_full Risk Assessment on Robotic Surgery Using Bayesian Network
title_fullStr Risk Assessment on Robotic Surgery Using Bayesian Network
title_full_unstemmed Risk Assessment on Robotic Surgery Using Bayesian Network
title_sort risk assessment on robotic surgery using bayesian network
publisher Universiti Putra Malaysia Press
publishDate 2022
url https://repo.uum.edu.my/id/eprint/30896/1/PJST%2030%2004%202022%202789-2803.pdf
https://doi.org/10.47836/pjst.30.4.27
https://repo.uum.edu.my/id/eprint/30896/
http://www.pertanika.upm.edu.my/pjst/introduction
https://doi.org/10.47836/pjst.30.4.27
_version_ 1802980293793021952
score 13.211869

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