|Faculty:||Faculty of Health Sciences and Medicine|
Translational simulation employs diverse simulation techniques for healthcare improvement. The approach is twofold - exploring team and system performance in complex healthcare environments and testing planned changes in physical space or clinical processes. Participants in this program will learn to design and deliver translational simulation programs focused on improving system performance and apply these techniques to their local context. Improving healthcare performance requires exploring healthcare environments and the people working in them and opportunities to test planned changes prior to real-world implementation. In this subject, participants will learn to apply translational simulation approaches to diverse healthcare challenges – designing healthcare spaces and processes, building teams and shaping culture, and delivering safer care. Participants will evaluate simulation modalities and delivery options in designing translational simulation programs and facilitate learning conversations that support performance improvement. This subject is developed in collaboration with the Translational Simulation Collaborative, a Bond University Faculty of Health Sciences and Medicine research centre, and collaborators from Mater Education and Gold Coast Hospital and Health Service.
- Describe the steps in designing, delivering, and debriefing a translational simulation session and/or program.
- Identify the human factors and cultural issues that impact safety and performance in specific healthcare environments.
- Apply a translational simulation approach to planning new physical spaces and to clinical redesign of workflows and processes.
- Analyse how simulation design, delivery, and debriefing can shape culture, values, and priorities for healthcare teams.
- Lead learning conversations after translational simulation activities toward improvement efforts.
- Examine how latent safety threats can be identified and explored through translational simulation.
- Adapt principles of translational simulation design, delivery, and debriefing to a specific healthcare context.
Assumed knowledge is the minimum level of knowledge of a subject area that students are assumed to have acquired through previous study. It is the responsibility of students to ensure they meet the assumed knowledge expectations of the subject. Students who do not possess this prior knowledge are strongly recommended against enrolling and do so at their own risk. No concessions will be made for students’ lack of prior knowledge.
Experience in healthcare
Standard Offering Enrolment opens: 13/11/2022 Semester start: 16/01/2023 Subject start: 16/01/2023 Cancellation 1: 30/01/2023 Cancellation 2: 06/02/2023 Last enrolment: 29/01/2023 Withdraw - Financial: 11/02/2023 Withdraw - Academic: 04/03/2023 Teaching census: 10/02/2023
|Withdraw - Financial:||11/02/2023|
|Withdraw - Academic:||04/03/2023|