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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Universiti Putra Malaysia Press
2022
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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 |
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QA Mathematics Roslan, Teh Raihana Nazirah Chee, Keong Ch’ng Risk Assessment on Robotic Surgery Using Bayesian Network |
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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 |
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Universiti Putra Malaysia Press |
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2022 |
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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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