Global Health Informatics

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The Children's Hospital of Philadelphia Global Health Informatics Program is dedicated to transforming healthcare worldwide by strengthening health information systems through mutually beneficial global partnerships. We collaborate globally with health and technology partners to promote sustainable and connected health information systems, leading to equitable, efficient, and safe healthcare and outcomes.

We envision a future where everyone experiences exceptional healthcare, free from geographical limitations, without regard to socioeconomic status, that is powered by cutting-edge technology, united global partnerships, and inspired healthcare teams delivering optimal patient results and eradicating health inequalities.

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Let's Collaborate!
We would love to explore a global health informatics collaboration with you! To facilitate impactful collaborations, we would like to learn more about your interests and projects. Please take a moment to complete the following questions.

Data Science Workshop with University of Botswana

CHOP's Global Health Informatics Program is proud to collaborate with the University of Botswana in hosting a Workshop on Data Science for Healthcare Professionals.

Research Highlights

Piloting of CommCare App in Dominican Republic
The CHOP team is utilizing mobile health technology to collect and analyze data on deworming campaigns in Dominican Republic. They use digital data for decision support and clinical outcome evaluations, employing technologies like CommCare and REDCap for data collection. Learn more.

mHealth for TB Contact Tracing in Botswanna
In Botswana, a CHOP study team implemented and assessed a mobile health approach to TB contact tracing, replacing the paper form-based method for a 6-month period. Learn more.

REDCap at University of Botswana

CHOP faculty and clinical informatics fellows, in collaboration with CHOP partner University of Botswana, implemented a REDCap Instance on a Botswanan web server to make online survey and database management software accessible and secure for faculty trying to do health research and quality improvement. Learn more.

Project Kamogano Study
This project aims to use RAP and TAM-RLS models to assess the landscape of healthcare data processing and understand front-line workers’ perceptions of data sharing. Learn more.