The Telemedicine Kiosk Project is an ongoing public health intervention in Guangzhou, China that seeks to assess telemedicine as a method to address disparities in healthcare access. This project hopes to increase healthcare utilization and patient satisfaction, decrease out-of-pocket costs, and improve health outcomes.
When compared to their urban counterparts, maternal and child health outcomes in rural communities around the world are worse, partially due to a lack of knowledge on perinatal care. Education programs delivered by community health workers (CHWs) are poised to solve this gap, yet the differences between families, communities, and even countries make the creation of these programs difficult. Since each family and each community have differing needs and knowledge gaps, efficient and effective education programs should and could adapt to these differences. To address these needs, we have created an adaptable app that CHWs can use to conduct home-based visits.
DTC telehealth expansion could represent a marked increase in competition due to the ability for providers to cheaply enter geographically disperse markets and to lower search costs facing patients. Our goal is to examine the impact of DTC telehealth market in China on health workforce and patients’ demand for healthcare.
This pilot project utilizes a collective intelligence-based participatory disease surveillance system to track local-level COVID-19 trends and population outcomes in Ghana.
The project focuses on developing equitable cancer risk prediction algorithms for screening and aims to establish a long-term research agenda on human-AI collaborative systems for improved medical decision-making. This combines AI research with behavioral science to complement, not replace, the knowledge of providers and patients. Over two years, the project will build a digital platform for human+AI decision-making experiments, create algorithms to summarize and highlight important patient case attributes and AI explanations, and assess the feasibility and acceptability of these AI-enabled decision support tools in community centers.