Industry · Healthcare
Where personal data is health data.
Digital health products and clinical data systems carry the most sensitive data a person has, and a wrong recommendation reaches a person, not a dashboard. Algobain designs, builds and operates them with that in mind.
Four ways a health system fails expensively.
In health, a fast system that is occasionally wrong is worse than a slow one. The work is in making it right first, then fast.
| Risk | Why it is expensive | How we handle it |
|---|---|---|
| iExposure of sensitive data | Health data is special-category personal data. A leak is a regulatory event and a breach of trust. | Data minimised and processed where you say. TLS 1.3 in transit, AES-256 at rest, and least-privilege access with every access logged. |
| iiA recommendation that is wrong | A plan, an alert or a summary that is wrong reaches a patient or a user, not a dashboard. | Recommendations are evaluated before release [evaluation method per engagement], and consequential changes wait for a named owner. |
| iiiAn incomplete audit trail | Clinical and research records must show who changed what, and when. | Audit trails on every data modification, retained for [retention period]. |
| ivSystems that cannot talk to each other | Hospital systems speak FHIR and HL7. A bespoke format becomes next year's migration. | Standards-based integration. Algobain has built FHIR APIs and HL7 message processing for an oncology data-capture system. |
Sector frameworks in scope are agreed during the two-week assessment: [frameworks to confirm per engagement]. Algobain follows SOC 2-aligned practices; it is not SOC 2 certified.
02 · Governance, data residency, auditability
The paperwork arrives before the demo.
The same three controls on every engagement, set up for the way healthcare teams are reviewed.
Governance
A named person owns every consequential action. The agent proposes, the gate decides, the record stays.
- NDA
- Signed before you share a detail
- Approval gates
- On consequential agent actions
- Practices
- SOC 2-aligned, not certified
Data residency
Your data is processed where you say, on the cloud you already use.
- Clouds
- AWS, GCP or Azure
- Regions
- US, EU (Frankfurt, Ireland), IN (Mumbai), on request
- GDPR
- DPA for EU and UK entities
Auditability
Every decision, approval and change is logged as it happens, in a record your auditor can read.
- Decision record
- Append-only, kept as the work happens
- Infrastructure
- As code, reviewable and reproducible
- Retention
- [Per contract]
The log is what your privacy officer and your auditor read. Identifiable exports are declined by default and returned with a reason.
03 · Relevant practices
What we build for healthcare teams.
Delivered by the same senior engineers who stay on after launch.
AI-native products
Products designed around a model from day one, not a chatbot bolted onto an existing interface.
Data and ML platforms
Pipelines, feature stores and scoring services built to be retrained, monitored and explained.
Cloud infrastructure
The platform beneath the models: provisioned as code, observable by default, sized for the bill you can defend.
04 · Case study
Built, shipped and still running.
Case study · Digital health
BetterHealth personalisation engine
An ML engine that writes a diet and fitness plan for each user from 50+ parameters, delivered through an offline-first mobile app.
Also relevant
Electronic data capture for cancer care
Clinical data · 14 months · write-up not yet published
Bring the system you are worried about.
Tell us what you are trying to run in production. A senior engineer replies within 48 hours.
- 1Within 48 hoursA senior engineer replies, not a sales desk.
- 2NDA, then a working sessionWe sign first, then look at the system together.
- 3Two-week fixed-fee assessmentWritten roadmap, ROI and build-versus-buy. No lock-in.