Authors: (including presenting author): :
Mak CH(1), Yiu SF(1), Cheung CT(1)
Affiliation: :
(1)Physiotherapy Department, AHNH
Keyword 4: :
Serious Game
Keyword 5: :
Design thinking
Keyword 6: :
Clinical Education
Introduction: :
In the Physiotherapy Department of AHNH, there is an ongoing need to enhance staff training for updating clinical knowledge amidst challenges such as difficult cases, variable staff experience, near-miss incidents posing risks to patients, and client complaints. A smart and autonomous solution to address the imminent training needs would be ideal.
Objectives: :
This project aimed to develop a “Serious Game” (嚴肅遊戲) training platform utilising a design thinking framework and generative artificial intelligence (AI) to address these pain points through an interactive, reproducible learning environment.
Methodology: :
Employing a human-centred design thinking (設計思維) approach, the process commenced with empathising by observing departmental needs and identifying key pain points from a frontline perspective. The problem is defined as a need for an accessible and engaging platform to standardise training while reducing real-world risks. Brainstorming solutions led to the adoption of ”Serious Game” elements to simulate patient scenarios in a protected environment, hosted online for easy access. During prototyping, team meetings were held to outline case ranges with critical lessons. These were then refined into detailed case series using generative AI to ensure anonymity without real patient data. Website coding was also assisted by generative AI. Testing involved user feedback from selected staff, leading to iterative refinements before launch.
Result & Outcome: :
The platform “PhysioCheck” was successfully developed and launched. It incorporates AI-generated, locally relevant clinical scenarios that preserve patient confidentiality while substantially reducing the content creation manpower. Specifically, the time needed to design each clinical case scenario was reduced from 720 minutes (without AI assistance) to 60 minutes (with AI assistance), representing a 92% time saving per case. The platform offers interactive, standardised training that combines educational accuracy with engaging game-like elements. In a trial involving 51 participants including students physiotherapists and nurses, 95% had a positive view of the innovative model. Furthermore, inexperienced physiotherapists (with less than three years’ experience) and student scored significantly lower than their more experienced counterparts （p< 0.05). The average score for inexperienced physiotherapists (n=27) was 65.96 compared to 76.07 for experienced PT(n=14). Excluding manpower, the project was free of hidden expenses and recurring subscription charges. This allowed it to be completed at a fraction of the cost of traditional knowledge banks. This action-oriented design thinking pathway, enhanced by generative AI, created an effective ‘Serious Game’ training platform. It simplified development, ensured content accuracy, and improved efficiency by reducing case design time and production costs. Interactive elements promoted staff engagement, enhancing clinical knowledge update in a safe, standardised manner, with potential for wider healthcare training application.
