Technical Document 2
1 September 2023
Significant disparities exist between and within Latin America and the Caribbean (LAC) countries, particularly in Sexual and Reproductive Health and Maternal Health (SRMH). These disparities manifest as gaps in access to essential services for preventing unintended pregnancies, contraception, maternal and newborn health, comprehensive sexual education, and HIV and STI prevention, among others. Vulnerable groups, such as economically disadvantaged women, youth, those with limited education, and rural residents, face the most significant challenges in accessing these services.
Furthermore, marginalized populations, including Indigenous communities, Afro-descendants, LGBTQI+ individuals, people with disabilities, and migrants, often encounter discrimination and stigma, further hindering their health rights and access to care. These vulnerabilities are exacerbated when multiple factors intersect. Artificial Intelligence (AI) can advance SRMH towards Universal Health Coverage (UHC) in LAC; however, it must be cautiously implemented. AI strategies must address technical, ethical, political, regulatory, and human resource challenges. In addition, promoting the active participation of women and minority groups in the research and development of these solutions is crucial to ensure equitable implementation. This technical document explores the current SRMH landscape in LAC, emphasizing Universal Health Coverage principles: equitable access, quality care, and accountability. It also delves into the potential of artificial intelligence solutions in SRMH, acknowledging their promise and challenges.
Authors:
- Sofia Pirsch
- Denise Zavala
- Mabel Berrueta
- Gabriela Perrotta
- Adolfo Rubinstein
- Cintia Cejas
Download PDF | DOI: https://doi.org/10.48060/tghn.133