Authors (including presenting author) :
LEE T(1), KWOK PH (1)
Affiliation :
(1)Occupational Therapy Department, Pok Oi Hospital, NTWC
Introduction :
Quality and Safety (QnS) standards are fundamental in healthcare. The report from the review committee identified a concern on inadequate emphasis on safety culture, particularly among younger healthcare professionals. Adherence to QnS standards is essential for ensuring patient safety and delivering high-quality care within the Occupational Therapy (OT) department. Following the recommendations from the Review Committee on the Management of the Public Hospital System, an Artificial Intelligence (AI) assisted multiple-choice question (MCQ) QnS training initiative based on past incidents was developed to promote a safety-focused culture in daily practice and provide new staff with essential patient safety training. This MCQ training program focuses on critical areas such as patient identification, patient sit-out protocols, oxygen therapy safety, and the management of patient condition changes. The training integrates past incidents to help new occupational therapists (OTs) build the necessary knowledge and skills to handle clinical challenges and adhere to QnS guidelines effectively.
Objectives :
The initiative's main goal was to develop an AI-generated MCQ training program tailored for the Occupational Therapy Department, ensuring new recruits understand and apply key QnS guidelines in clinical practice.
Methodology :
A set of 22 MCQs was developed by ChatGPT based on key QnS issues relevant to the OT department. These questions were then refined by senior occupational therapist and administered to new recruits. Following the assessment, a debriefing session was conducted by senior occupational therapists to discuss the results and address any concerns or knowledge gaps identified. Insights are gathered from both the new recruits (N=13) and their supervisors (N=12) to gather their thoughts on the training's relevance and effectiveness.
Result & Outcome :
Feedback from the new recruits and their supervisors indicated a high level of satisfaction with the training format and content. All participants (N=13) agreed or strongly agreed that the MCQs were relevant and directly applicable to their clinical decision-making processes. Meanwhile, all the supervisors (N=12) believed that this training program is regarded as a useful and effective tool for developing and assessing the capabilities of junior occupational therapists. A debriefing session provided an opportunity for interactive discussion, reinforcing the learning outcomes and fostering a culture of safety and accountability. The AI-assisted training program effectively enhanced compliance with critical QnS standards, improved knowledge retention, and prepared new occupational therapists to deliver high-quality patient care.
