AI-Driven Assessment of Educational Interventions: Enhancing Midwives’ Competence in using condom-catheter intrauterine balloon tamponade - Review
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Abstract
Postpartum hemorrhage (PPH) is still a major cause of maternal death and morbidity globally, especially in areas with limited resources. This emphasizes the urgent need for strong training programs for healthcare professionals as well as efficient therapies. When first-line uterotonic medicines are ineffective, intrauterine balloon tamponade (IUBT) has become a useful, minimally invasive method for treating PPH. However, the ability of healthcare professionals, particularly midwives, to carry out IUBT accurately and effectively is crucial to its successful deployment. Conventional IUBT training approaches, such as lectures, demonstrations, and practical mannequin practice, frequently have drawbacks in terms of scalability, objectivity of evaluation, uniformity, and capacity to offer tailored feedback. These restrictions may make it more difficult to learn and retain critical skills, which may affect patient outcomes and safety. This study explores the revolutionary potential of artificial intelligence (AI)-driven evaluation methodologies to enhance midwives' competence with condom-catheter IUBT to address the shortcomings of conventional training methods.
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