​​Electronic Health Records (EHR) Repository Project

Mining EHR in Kenya for Research Purposes 

Data in the 21st century is like oil in the 18th century, and within an LMIC setting can be an immensely valuable at identifying new innovative solutions. Within AKDN and AKU specifically, little to no work has been done to extract data from our hospital systems (EHR) and mine that data to understand trends and identify better care pathways for the communities we serve. This project aims to change that paradigm by extracting data from key hospital systems in Nairobi, ​ Mombasa, and Kisumu organizing the data in a manner optimized for analytics and machine learning and then making the repository available to AKU faculty for research purposes. 

                 
 
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Key milestones so far


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Significant progress has been made in expanding our EHR data repository. We have successfully integrated all data from the new EHR system, Me​ditech Expanse, into our existing repository. Data is refreshed every 96 hours, ensuring near real-time updates. The consolidation of legacy systems with Meditech into a single, standardized data model is already enabling impactful research, including:

  • A study on gestational diabetes (GDM) prevalence and risk factors in Kenyan women.
  • A newly launched sepsis research initiative with the CMIO office and CITRIC in Karachi.
  • An experimental hypertension study leveraging Generative AI in collaboration with Google.​