The Role of Artificial Intelligence in Accessing Quality Maternal Health and Addressing Gaps in the Service Delivery: Minireview

Abstract

Maternal health services encompass a range of care from preconception to postnatal care, including antenatal care and emergency obstetric care. Despite global awareness and efforts to improve these services, significant gaps remain. This paper seeks to provide wider understanding on the benefits and challenges of integrating Artificial intelligence to improve maternal health care services. It also identifies significant areas where Artificial intelligence is of utmost important in monitoring maternal health. To understand the perspective of how AI can be leveraged to achieve the Sustainable Development Goal 3 which targets the reduction of maternal mortality to less than 70 per 100000 births, this paper explored the possible services that can be rendered remotely for monitoring pregnant women to detect pregnancy complications and emergencies, the services that support health facility deliveries and postnatal care. The barriers to the effectiveness of AI in maternal health such as data privacy, cost effectiveness, data inaccuracy and ethical consideration are highlighted in this study. Also, the potential solutions to the challenges of integrating AI were also discussed. This demands for persistent and continuous actions to improve outcome of maternal health care services.

Ähnliche Arbeiten