Our Insights


Reporting & Analytics on Patient-Level Data, Ethiopia
The implementation of effective HIV-patient treatment strategies and improved patient outcomes relies on accurate and comprehensive data. Our client faced challenges in managing this data and approached us for a solution.
KEY CHALLENGES
- Lack of patient-level data for adaptable reporting and in-depth analytics.
- Need to centralise increasing volumes of HIV data.
- Duplication of patient records.
- Lack of quality data analytics, reporting, and visualisation.
- Need for compliance with global FHIR (Fast Healthcare Interoperability Resources)
KEY OUTCOMES
Centralised Data
Improved data consistency, accuracy, and accessibility for analysis.
Patient Identity Management
Ensured accurate patient identification and data privacy for reporting and analytics.
Data-Driven Insights
Enabled more informed decision-making based on robust data analysis and visualisation. Machine Learning Enhancement Leveraged advanced technology to identify factors influencing patient treatment success and adherence.
Improved Healthcare Outcomes
Supported better patient care through informed treatment strategies and resource allocation
SYMBIONIX@WORK
- Implementation of a Central Data Repository (CDR).
- Implementation of Patient Identity Management (PIM) systems for patient deduplication and de-identification.
- Design of a National Data Repository architecture.
- Development of a national- grade data pipeline for processing HIV data into a reporting and visualisation platform.
- Design for machine learning to inform decision-making on structural and treatment factors affecting patient treatment success and medication adherence.
- Collaborated with the Addis Ababa City Authority Health Bureau and Jembi Health Systems to centralise HIV/AIDS from the health facility electronic medical record (EMR) into a regional repository.