Risk Assessment on Robotic Surgery Using Bayesian Network

• 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

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