Health data is a special category of personal data, and leaks have serious results. We explain the riskiest data channels in hospitals, the shared device problem and a DLP rollout plan.
Key Takeaways
In a hospital, a data leak usually comes from daily work, not from an attack: a test result carried on USB, a discharge summary sent to personal email, an image shared in a messaging app. DLP should make these flows visible and safe without stopping care.
- Health data is special category personal data under KVKK and GDPR. It needs stronger measures.
- Riskiest channels: USB, personal email, messaging apps, printers and AI tools.
- Shared devices (nurse stations, clinic PCs) need per-user logging.
- Apply blocking without breaking clinical workflow. Define an emergency exception.
Why is health data different?
KVKK and GDPR treat health data as a special category of personal data. It is subject to stricter processing conditions and security measures. Health data is also permanent: you can change a password, but not a diagnosis. So the impact of a leak on a person lasts a long time.
The 6 riskiest data channels in hospitals
| Channel | Typical scenario | Recommended control |
|---|---|---|
| USB and external disks | Imaging carried by hand to another facility | Allow only encrypted, registered USB |
| Personal email | Discharge summary sent to a personal address to work from home | Block or warn on attachments with patient data |
| Messaging apps | Image shared through a desktop messaging app | Log and restrict file uploads |
| Printers | Bulk printing of patient lists | Log bulk printing and set thresholds |
| AI tools | Patient notes pasted to prepare a report summary | Block patient data in the prompt |
| Shared devices | Several staff members on the same computer | Per-user logging and session control |
Which data types should you define?
- National ID and patient record number
- Diagnosis codes (ICD-10) and medication data
- Laboratory and radiology results
- Discharge summaries and clinical notes
- Insurance and billing data
DLP without breaking clinical workflow
The biggest risk in healthcare is a security control that slows patient care. So run policies in monitor mode first. Learn which unit uses which channel and why. Apply blocking only to clearly risky channels and keep a logged exception path for emergencies.
90-day plan
- Days 0–30: Discovery. Find where patient data is on file servers and endpoints.
- Days 31–60: Monitoring. Turn on log mode for USB, email, messaging and AI channels. Report per unit.
- Days 61–90: Control. Block the riskiest channels. Write down the exception and incident response process.
How does Moftgate work in healthcare?
Moftgate can be installed on-premises. Patient data and logs stay on your own servers. The same agent discovers patient data with DSPM and controls USB, email, cloud and AI channels with DLP. The lightweight agent is designed to run on older clinical PCs too.
Strategic Takeaway
In healthcare, the goal of DLP is not to stop the clinician but to know where patient data goes. See first, then close the riskiest channel.
Product architects and field engineers who build the Moftgate DLP, device management and data security modules and run customer deployments.
Expert Answers to Core Practitioner Questions
Why is health data special under data protection law?
KVKK and GDPR treat health data as a special category of personal data. It is subject to stricter processing conditions and security measures.
Does DLP slow down patient care?
If you start in monitor mode and block only risky channels, impact stays low. Define an emergency exception.
How do you know who did what on shared computers?
DLP logs should be tied to the user session, not the device. This separates the actions of different staff on the same computer.
Is it forbidden to send patient data to AI tools?
It depends on your policy and legal assessment. As a general rule, patient data should not be sent to unapproved tools.
Authoritative Sources & Regulatory Standards
- •6698 sayılı Kişisel Verilerin Korunması Kanunu (m.6 özel nitelikli veri, m.12 veri güvenliği) ↗(Health data is a special category of personal data under Turkish law.)
- •HHS: HIPAA Security Rule ↗(US security rules for electronic health information.)
- •T.C. Sağlık Bakanlığı ↗(Turkish Ministry of Health, health information system rules.)
- •NIST SP 800-53 Rev. 5: Security and Privacy Controls ↗(Reference catalog for access and data flow controls.)