Speakers: Erin Gilmer and Zahra Mirzaei
Facilitator: Isabella Garti
Background: In December 2024, the Taliban banned women from attending midwifery and nursing institutes in Afghanistan, cutting off the last remaining avenue for women’s higher education. This policy threatens maternal and newborn health in a country where the maternal mortality ratio at 620 deaths per 100,000 live births, one of the highest in the world. Afghan midwives are essential frontline providers, particularly in rural areas; therefore, sustaining midwifery education is vital to ensuring continued healthcare access for Afghan women and families.
Purpose: In response to this crisis, Kabul Online Medical University in Exile (KOMU-E) has launched an innovative online midwifery education program. This initiative aims to preserve academic continuity for Afghan midwifery students, sustain their engagement with the midwifery profession, and provide a critical lifeline for education and wellbeing.
Focus of Presentation: This presentation explores the implementation of KOMU-Es online midwifery education initiative. Grounded in the Afghan midwifery curriculum and aligned with ICM Essential Competencies, the program is delivered by experienced Afghan midwives in the diaspora. Currently, the program focuses on theory-based coursework while KOMU-E explores strategies for safe and effective hands-on learning and clinical experience. Importantly, the program integrates psychosocial support to address the mental health impact of educational exclusion.
The session will highlight the challenges, strategies, and impact of delivering midwifery education in a highly restrictive environment. We also hope to connect with audience members with experience in blended learning models for midwifery education.
Speaker: Sandra Mutilva
Facilitator: Caroline Maringa (Nyambura)
Introduction: Integrating artificial intelligence (AI) into healthcare holds transformative potential for midwifery, enhancing prenatal care, labour and delivery outcomes, and postnatal support. This systematic review evaluates how AI technologies can improve decision-making, client outcomes, and personalized care, highlighting the urgency for midwifery professionals to adapt to this emerging innovation.
Methods: Following a PROSPERO-registered protocol and PRISMA guidelines, this review investigated the impact of AI interventions in midwifery. A comprehensive search of electronic databases (PubMed, Cochrane Library, EMBASE) and grey literature identified studies focusing on AI applications in women’s health, including prenatal, labour, and postnatal care. Data extraction captured key insights into the implementation and impact of AI. The PRISMA flow diagram documented the study selection process.
Results: The review explored AI applications across medical imaging, diagnostics, predictive analytics, personalized medicine, natural language processing, robotics, virtual health assistants, and genomics in midwifery. AI technologies improved diagnostic accuracy, patient monitoring, risk assessment, treatment personalization, and expedited drug discovery. Moreover, by automating routine tasks and reducing administrative burdens, AI supports midwives in focusing more on client care and their well-being. These innovations streamline clinical workflows and enhance patient outcomes, demonstrating AIs transformative potential in midwifery.
Conclusions: AI integration in midwifery is an emerging reality with profound implications for practice and care. Preparedness through training, professional development, and supportive regulations is essential to ensure ethical and effective adoption. Future research should address integration guidelines, challenges, benefits, and long-term impacts, ensuring AI complements midwifery’s core values while advancing client care.
