Multi-disciplinary and Interprofessional Real-life Education in Clinical Learning Environment for Safe patient care
MIRECLES utilises multi-disciplinary blended simulation program with real-life clinical context to encourage interprofessional learning with the explicit goal of achieving collaborative interprofessional learning to improve patient safety and patient outcomes.
The current pilot program consists of three clinical settings:
- Admission and management of a complex medical admission.
- Acute patient deterioration, detection, management and complex therapeutic decision-making.
- Acute care hospital to community discharge planning.
The learning objectives include:
- Understanding the roles and responsibilities of different disciplines in patient admission and patient care.
- Applying the principle and enhancing the skills in the detection and management of acute patient deterioration.
- Applying the principle and refining the skills in structured communication techniques in simulation and patient care.
- Understanding and applying the principles of medication safety in patient care.
- Understanding and applying the knowledge in the treatment of patients with COPD, AF, gout and complex therapeutics.
- Understanding and applying the principles of collaboration and team work in patient management and discharge.
- Understanding the principles and improving the skills of self-reflective learning, peer-reflective learning and guided learning.
This interprofessional learning project is evaluated through a research framework in order to achieve the following objectives:
- To explore tension between adult learning theory and outcome-based, competency education and training.
- To develop a theoretical conceptual framework to guide simulation learning in multi-disciplinary setting for healthcare students.
- To develop practical guidance to support multi-disciplinary learning through blended simulation for healthcare students.
- To explore the impact of multi-disciplinary learning on patient safety.
- To explore research methodology which will capture the impacts and outcomes of multi-disciplinary simulation learning.
