Healthcare Data Shield
Security hardening of a healthcare Odoo platform holding patient and supply data: field-level encryption, granular access control, immutable audit logging, penetration testing and HIPAA-aligned policies.
- Client
- MediCare Plus
- Category
- Healthcare
- Platform
- Odoo 17 + security hardening
- Duration
- 10 weeks
- Team
- 4 specialists
0%
critical findings remediated
0%
fewer users with sensitive access
0%
sensitive record access logged
Field-level access per role, encryption at rest and an audit trail of every sensitive read.
Field-level access matrix
Encrypted fields: 46| Name | Phone | Diagnosis | Prescription | Insurance | Billing | |
|---|---|---|---|---|---|---|
| Doctor | Full | Full | Full | Full | Read | Read |
| Nurse | Full | Read | Read | Read | None | None |
| Pharmacist | Read | None | None | Full | None | None |
| Billing | Read | Masked | None | None | Full | Full |
| Front desk | Full | Full | None | None | Read | None |
| IT admin | Masked | Masked | None | None | None | None |
Audit stream
live- Bulk export attempt by staff.20414:12
- Prescription viewed by dr.saleh13:58
- Access denied: billing → diagnosis13:41
- Patient record updated by nurse.3113:20
Illustrative view with representative data.
MediCare Plus stored patient contact details, prescriptions and supply records in Odoo. As the business grew, too many staff had broad access, there was no record of who viewed sensitive data, and an upcoming partner audit required proof of strong controls.
They needed to lock down sensitive data without slowing clinicians and staff down.
Sensitive data visible to everyone
Default access groups gave many users read access to patient details they didn't need.
We redesigned access around least privilege, with role-based groups, record rules by clinic and field-level restrictions on sensitive fields.
Data at rest unprotected
Database backups and dumps contained readable patient information.
Sensitive fields are encrypted at the application layer with managed keys, backups are encrypted and test databases are automatically anonymised.
No audit trail
The client couldn't show who had viewed or changed a patient record.
An immutable audit log records reads, writes and exports of sensitive records, with alerts for unusual access patterns such as bulk exports.
- Least-privilege access model and field-level security
- Application-layer encryption of sensitive fields
- Immutable audit logging with anomaly alerts
- MFA, SSO and session hardening
- Penetration test and remediation of all critical findings
- HIPAA-aligned policies and anonymised test data
How the system flows
- 1Data classified
- 2Access redesigned
- 3Fields encrypted
- 4Activity logged
- 5Pentest & fix
- 6Audit passed
Key operating metrics before the project and after go-live.
Users with patient-data access
-83%Critical / high vulnerabilities
-100%Time to answer audit evidence requests
-90%
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