Industries
Connect patient, facility, drug and referral data across clinics, hospitals and ministries, so clinicians and planners can see capacity, stock and outcomes without more paperwork.
01How the work happens today
Health data in most African systems is spread across facilities that each run on their own. Some clinics use an electronic medical record. Many use paper registers, with monthly counts typed into a national reporting system. Laboratories, pharmacies and imaging run separate tools. Drug supply chains report stock on spreadsheets or in a logistics system that clinicians never see. Referrals between a health post, a district hospital and a specialist center often depend on a phone call and a handwritten note.
Because records do not follow the patient, clinicians repeat tests and miss history. Stockouts of essential medicines are found after patients have been sent home. District managers see last month's numbers, not this week's. Planners cannot tell which facilities have the staff, beds and equipment to take a referral. Any AI project needs consented, labeled, secure data, and most facilities cannot provide it. Sensitive health data also raises the stakes: a leak harms real people, and trust is hard to rebuild.
02A starting model for the sector
13 core things
The nouns of the sector. Each object has an identity, properties and a history, and maps to records in the source systems.
8 core relationships
How the objects connect. Links turn separate tables into a graph that people and agents can walk.
6 governed actions
What people and approved agents may do. Each action has rules, an approver where needed and a log entry.
03What changes on the ground
Situation
A district health office manages essential medicines across dozens of clinics. Stock counts arrive monthly on paper or by SMS. Clinics run out of antimalarials or antibiotics while another facility holds surplus near expiry.
What it does
Stock batches, consumption and expiry dates are modeled per facility. The system estimates when each clinic will run out and proposes transfers or reorders. Notices go to clinic staff by SMS in the local language.
Human decides
The district pharmacist approves transfers and orders. Clinic staff confirm what they actually hold, and the count corrects the model.
04Sources to connect
We read from your existing systems first and write back only through approved actions. Every source has a named owner. Where connectivity is weak or records are on paper, we plan for queued sync and OCR with human review.
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05Laws that shape the design
| Country | Law | What it means |
|---|---|---|
| Nigeria | NDPA 2023 | Health data is typically treated as sensitive, which may require stronger consent and safeguards. |
| Kenya | Data Protection Act 2019 | Health data is sensitive personal data. Processing needs a lawful basis and security measures, and transfers abroad are restricted in some cases. |
| South Africa | POPIA | Special personal information, including health, has stricter conditions. Sector health laws add confidentiality duties. |
| Ghana | Data Protection Act 2012 | Special personal data, including health, has additional conditions for processing. |
| Rwanda | Law on Personal Data Protection 2021 | Sensitive data rules and storage limits may influence where records and models are hosted. |
Health ministries, professional councils and facility licensing bodies may add rules on records and telemedicine. These examples are not legal advice. Confirm current requirements with counsel and your ministry. Examples only, not legal advice. Confirm with counsel.
06How each product serves this sector
Model plane
Models patients, encounters, facilities, medicines and referrals, and powers stock, capacity and program dashboards for district and national teams.
Trust plane
Gives clinicians, pharmacists and community workers access limited to their facility and role. Patient level access can be tied to purpose and recorded.
Control plane
Limits what a health agent can read and do. A reminder agent can see appointments but not diagnoses, and a stock agent cannot touch patient notes.
Runtime plane
Hosts sensitive health data and agents privately, with the option to keep everything in country or inside the ministry's own environment.
Observation plane
Logs who viewed or changed a record and which data fed a recommendation, which supports patient privacy reviews and clinical governance.
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Experience you can lean on
Immersed in technology and across many different verticals, so the people on your project have done this before.
Healthcare
Tell us the problem. An engineer, not a salesperson, answers.
Connect patient, facility, drug and referral data across clinics, hospitals and ministries, so clinicians and planners can see capacity, stock and outcomes without more paperwork.
