De-identified Chronic EHR Dataset Needed : Longitudinal Data Required

I am looking for verified data partners who can supply fully de-identified, structured EHR/EMR datasets focused on chronic disease patients. The core conditions I must see in the file are Diabetes, Hypertension, Cardiovascular Disease and Cancer; additional chronic illnesses are welcome if already captured in your system.

Geography matters: records originating from Nigeria, Kenya or South Africa are my first choice, but I will happily review submissions from Uganda or any other African country if the data meet quality standards.

Volume: I need at least 5,000 complete patient records and can work with up to 50,000 in a single hand-off.

Please deliver the dataset in Excel format; a well-structured PDF is also acceptable if that is how the source is stored, though Excel is preferred for immediate analysis.

To qualify, every record must be stripped of direct identifiers yet still include:
• Patient demographics – age and gender
• Diagnoses with ICD-10 (or local equivalents)
• Medication and prescription history
• Lab results; embed related images where available
• Visit or admission timestamps and facility identifiers

Before awarding the project I will request a small sample so I can verify de-identification, field completeness and overall consistency. Once approved, we will agree on a secure transfer method and a simple milestone schedule tied to data validation.

If you already steward a compliant dataset that matches these criteria, let me know the condition mix, country coverage and record count you can provide, and we can move forward quickly.