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Alicanto Online Latin American Maternal Informatics Community of Practice
Juan Henao1, Yuri Quintana1,2, Charles Safran1,2
1Division of Clinical Informatics, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Studies in Health Technology and Informatics
|August 24, 2019
Summary
Improving maternal health outcomes requires quality healthcare data. Online communities of practice, like the Alicanto platform, can help address data challenges in low-resource settings to reduce maternal deaths.
Area of Science:
- Public Health
- Health Informatics
- International Health
Background:
- Maternal deaths are often preventable with quality healthcare, yet accurate data and analytics are lacking.
- Addressing quality of care in maternal health faces significant data challenges, especially in low- and middle-income countries (LMICs).
Purpose of the Study:
- To discuss the design of an online community of practice for improving maternal health quality of care.
- To address the challenge of data and analytics in LMICs for maternal health outcomes.
Main Methods:
- Designing the Alicanto Online Latin-American Community of Practice.
- Focusing the community of practice on both maternal health outcomes and process indicators.
Main Results:
- The Alicanto platform is designed to facilitate data sharing and analysis for maternal health.
- The community of practice aims to improve the quality of maternal healthcare through enhanced data utilization.
Conclusions:
- Online communities of practice offer a viable solution for improving maternal health data and analytics in LMICs.
- The Alicanto platform's focus on outcomes and process indicators can contribute to reducing preventable maternal deaths.
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