Student Engagement in Patient Safety and Healthcare Quality Improvement: A Brief Educational Approach.
Ileana Chavez-MaisterraAna Cecilia Corona-PantojaLuz Elena Madrigal-GómezEdgar Oswaldo Zamora-GonzálezLuz Berenice López-HernándezPublished in: Healthcare (Basel, Switzerland) (2024)
Achieving optimal patient safety (PS) remains a challenge in healthcare. Effective educational methods are critical for improving PS. Innovative teaching tools, like case-based learning, augmented reality, and active learning, can help students better understand and apply PS and healthcare quality improvement (HQI) principles. This study aimed to assess activities and tools implemented to improve PS and HQI education, as well as student engagement, in medical schools. We designed a two-week course for fourth-year medical students at the Autonomous University of Guadalajara, incorporating Fink's taxonomy of significant learning to create engaging activities. The course featured daily synchronous and asynchronous learning, with reinforcement activities using tools, like augmented reality and artificial intelligence. A total of 394 students participated, with their performance in activities and final exam outcomes analyzed using non-parametric tests. Students who passed the final exam scored higher in activities focused on application and reasoning ( p = 0.02 and p = 0.018, respectively). Activity 7B, involving problem-solving and decision-making, was perceived as the most impactful. Activity 8A, a case-based learning exercise on incident reporting, received the highest score for perception of exam preparation. This study demonstrates innovative teaching methods and technology to enhance student understanding of PS and HQI, contributing to improved care quality and patient safety. Further research on the long-term impact is needed.
Keyphrases
- patient safety
- quality improvement
- healthcare
- medical students
- high school
- artificial intelligence
- physical activity
- decision making
- medical education
- social media
- big data
- deep learning
- type diabetes
- depressive symptoms
- randomized controlled trial
- high intensity
- virtual reality
- cardiovascular disease
- weight loss
- adipose tissue
- pain management
- chronic pain
- metabolic syndrome
- body composition
- resistance training
- high resolution
- health information
- affordable care act
- palliative care
- glycemic control
- study protocol
- health insurance
- insulin resistance