Curriculum Vitae

Context

Maternal mortality reflects the level of development in a society and involves various social and familial factors. In 2000, the UN established the goal of Improving Maternal Health within the Millennium Development Goals (MDGs), aiming to reduce maternal mortality rate (MMR) by 75% between 1990 and 2015. However, this goal was not achieved.

Currently, the Good Health and Well-Being goal within the Sustainable Development Goals (SDGs) seeks to reduce MMR to less than 70 per 100,000 live births by 2030. This issue disproportionately affects developing countries, with Latin America and the Caribbean experiencing stagnation at 67.2 maternal deaths per 100,000 live births.

To contribute to the analysis and solution of this problem through data science and artificial intelligence, we developed this synthetic patient dataset as part of the project "Computational Phenotypes of Maternal Morbidity Using AI".

 

Torres-Silva, EA, Laura Herrera Almanza, Carolina Crispin Fory, Juan José Gaviria Jimenez, Ana María Guevara Zambrano, Briam Jimenez Franco, and Florez-Arango, Jose. (2025). Maternal Health in Colombia: Synthetic Data [Data set]. Kaggle. https://doi.org/10.34740/KAGGLE/DSV/11094440

Arindam Basu ¹, Craig Kuziemsky ², Magdala de Araújo Novaes ³, Araujo Kleber ⁴, Fernando Sales ⁵, Najeeb Al-Shorbaji ⁶, José F Flórez-Arango ⁷, Shashi B Gogia ⁸, Kendall Ho ⁹, Inga Hunter ¹⁰, Sriram Iyengar ¹¹, Oommen John ¹², Sheila John ¹³, Gumindu Kulatunga ^14 15, Vije Kumar Rajput ¹⁶, Prasad Ranatunga ^14 15, Jai Ganesh Udayasankaran ¹⁷

Objectives: Telehealth implementation is a complex systems-based endeavour. This paper compares telehealth responses to (COrona VIrus Disease 2019) COVID-19 across ten countries to identify lessons learned about the complexity of telehealth during critical response such as in response to a global pandemic. Our overall objective is to develop a health systems-based framework for telehealth implementation to support critical response.

Methods: We sought responses from the members of the International Medical Informatics Association (IMIA) Telehealth Working Group (WG) on their practices and perception of telehealth practices during the times of COVID-19 pandemic in their respective countries. We then analysed their responses to identify six emerging themes that we mapped to the World Health Organization (WHO) model of health systems.

Results: Our analysis identified six emergent themes. (1) Government, legal or regulatory aspects of telehealth; (2) Increase in telehealth capacity and delivery; (3) Regulated and unregulated telehealth; (4) Changes in the uptake and perception of telemedicine; (5) Public engagement in telehealth responses to COVID-19; and (6) Implications for training and education. We discuss these themes and then use them to develop a systems framework for telehealth support in critical response.

Conclusion: COVID-19 has introduced new challenges for telehealth support in times of critical response. Our themes and systems framework extend the WHO systems model and highlight that telemedicine usage in response to the COVID-19 pandemic is complex and multidimensional. Our systems-based framework provides guidance for telehealth implementation as part of health systems response to a global pandemic such as COVID-19.

Full paper here