I think it is the national health records and disease surveillance data collected from public hospitals, PPM clinics and rural health centers across Myanmar. This includes patient records, diagnostic data, lab results, prescription data, COVID-19 tracking data and even mobile health data from remote areas.
Volume:
The healthcare system generates a large amount of data daily especially from hospitals in major cities like Yangon and Mandalay, but also increasingly from rural areas through digital health initiatives. This includes thousands of patient records, lab tests, and imaging data.
Velocity:
During disease outbreaks (e.g. COVID-19, dengue fever), data needs to be collected and processed quickly to inform public health decisions, resource allocation, and emergency responses.
Variety:
The data comes in different forms: structured (patient registration, lab results), unstructured (doctor’s notes) and semi-structured (health surveys, SMS-based symptom reporting from rural areas)
Veracity:
In Myanmar, data quality can be inconsistent due to manual record-keeping, lack of standardization and underreporting, especially in rural regions. This affects trust in the data.
Value:
When used effectively, this data can support disease prediction, health resource planning, and targeted health interventions especially in underdeveloped areas where resources are limited.