Using Shared Mental Models and Organisational Learning to Support Safety and Security Through Cyberspace: A Computational Analysis Approach
暫譯: 利用共享心理模型與組織學習支持網路空間中的安全與保安:一種計算分析方法
Roelofsma, Peter H. M. P., Jabeen, Fakhra, Taal, H. Rob
商品描述
Ensuring patient safety and security through cyberspace requires that all care professionals operate as a team and community . In order to be successful, it is of paramount importance that all members of the team have a shared understanding of the diagnosis, the condition of the patient, the secure use of medical devices and the plan of action. At present, to ensure that all mem bers have this 'shared mental model', members communicate and observe each other's actions. Based upon this information, members sho uld be able to confirm if indeed all have a shared mental model and speak up when deviations in one or more members and/or processes are suspected. From a group dynamical and information processing perspective, this verification process is known to be very vulnerable: how can red flags be detected in complicated surgery settings and do members feel psychologically safe enough to speak up when they have concerns about being on the same page as the rest of their team? This book presents a new approach for saf ety and security through cyberspace through introducing a concept of co designed clinical pathways supported by the AI coach. The AI coach will be an intervention for both improving hospital wide safety and security through cyberspace. The AI Coach will empower users by supporting and facilitating the development of a shared mental model for team and organisational learning. The AI coach will function as an information, communication, cooperation and decision support system. The book advises to incorporate issues or cybersecurity risk management into the total safety and security process, among others through co-creating security.
商品描述(中文翻譯)
確保病人在網路空間中的安全與保障,需要所有醫療專業人員作為一個團隊和社群共同運作。為了成功,所有團隊成員對於診斷、病人的狀況、醫療設備的安全使用以及行動計畫必須有共同的理解。目前,為了確保所有成員擁有這種「共享心理模型」,成員之間需要進行溝通並觀察彼此的行為。根據這些資訊,成員應能確認是否所有人確實擁有共享的心理模型,並在懷疑有一名或多名成員及/或流程出現偏差時勇於發聲。從群體動力學和資訊處理的角度來看,這一驗證過程被認為非常脆弱:在複雜的手術環境中,如何能夠檢測到紅旗,並且成員是否感到足夠的心理安全以在對團隊的共識有疑慮時發聲?本書提出了一種通過網路空間提升安全與保障的新方法,介紹了一個由AI教練支持的共同設計臨床路徑的概念。AI教練將作為一種介入措施,旨在通過網路空間改善醫院整體的安全與保障。AI教練將通過支持和促進團隊及組織學習的共享心理模型的發展來賦能使用者。AI教練將作為一個資訊、溝通、合作和決策支持系統運作。本書建議將網路安全問題或風險管理納入整體安全與保障過程中,並透過共同創造安全來實現。