Management of chronic diseases has become increasingly important as the global burden of chronic diseases continues to increase. In Latin America there are significant gaps in the provision of chronic care management, with a pressing need to help patients better control their condition. One tool to address gaps in care management is through disease management programs, which include a set of coordinated interventions often with an educational component aimed to improve health outcomes and reduce costs.

Management of chronic diseases has become increasingly important as the global burden of chronic diseases continues to increase. In Latin America there are significant gaps in the provision of chronic care management, with a pressing need to help patients better control their condition. One tool to address gaps in care management is through disease management programs, which include a set of coordinated interventions often with an educational component aimed to improve health outcomes and reduce costs.

Prolonged hospital stays, or hospital stays that are longer than medically necessary, are a major concern for patients, payers, and providers. We conceptualize and empirically estimate the prevalence and cost of prolonged stays among elderly hospital patients (65 years and older) in Brazil and Mexico. We develop a continuum-of-care conceptual framework based on prior literature and insights obtained through interviews and focus group discussions with experts from Mexico, Argentina, and Colombia. In this framework, hospitals are part of a wider system.

We assess the potential effect of large language models (LLMs) on the labor markets of Chile, Mexico, and Peru using the methodology of Eloundou et al. (2023). This approach involves detailed guidelines (rubrics) for each job to assess whether access to LMM software would reduce the time required for workers to complete their daily tasks. Adapting this methodology to the Latin American context necessitated developing a comprehensive crosswalk between the Occupational Information Network (O*NET) and regional occupational classifications, SINCO-2011 and ISCO-2008.

We assess the potential effect of large language models (LLMs) on the labor markets of Chile, Mexico, and Peru using the methodology of Eloundou et al. (2023). This approach involves detailed guidelines (rubrics) for each job to assess whether access to LMM software would reduce the time required for workers to complete their daily tasks. Adapting this methodology to the Latin American context necessitated developing a comprehensive crosswalk between the Occupational Information Network (O*NET) and regional occupational classifications, SINCO-2011 and ISCO-2008.

This report presents findings from a study into digital transformation in higher education across Latin America and the Caribbean and provides early insights into how institutions are considering their future in light of the impacts of COVID-19. The research, which involved almost 100 institutions across 14 countries, serves as a 'temperature check' for digital transformation in higher education in the region, including the key challenges, capabilities, approaches and needs.

We investigate differences in earnings penalties associated with working from home (WFH) between groups of gender and race before and during the COVID-19 pandemic in Brazil. Using a large and nationally representative longitudinal dataset, we show that the earnings penalty associated with WFH diminished for White and Black men during the pandemic while remaining high for White and Black women.