Ocriva for Healthcare
Convert Medical Documents into Digital Data, Safely
Pain Points in Healthcare
Clinics, hospitals, laboratories, and aesthetic clinics face these problems every day:
- Handwritten prescriptions that are hard to read — Pharmacists risk dispensing the wrong drug, wrong dose, or wrong type, which directly affects patient safety
- Lab results from different machines — Each analyser brand prints reports in a different format; staff must manually key them into the HIS, wasting time and introducing errors
- Paper patient records — OPD cards, medical records, and years of treatment history are difficult to search retrospectively and take up significant storage space
- Insurance claims — Staff must fill out repetitive forms drawn from multiple source documents: receipts, medical certificates, and various copies — consuming enormous time
- Sensitive personal data — Medical documents contain patient information that must be handled with care and in compliance with PDPA (Thailand's Personal Data Protection Act)
How Ocriva Solves These Problems
For Clinics and Hospitals
- Create Templates for each document type once, reuse indefinitely — prescriptions, lab results, medical certificates, OPD cards
- AI reads handwritten doctor notes and low-quality scans, extracting structured data with validation before it is saved
- Export into the HIS (Hospital Information System) via REST API or CSV — no re-typing, no key-in errors
| Example Field (Prescription) | Detail |
|---|---|
| Drug name | Matched against a defined drug list |
| Dosage | Numeric + unit (mg, ml) |
| Instructions | Text field |
| Number of days | Integer |
| Patient HN number | Format validation |
| Prescription date | Date validation |
For Laboratories
- Batch upload up to 50 lab results at a time — AI extracts result values, reference ranges, and measurement units from every sheet simultaneously
- Webhook notifies the LIS (Laboratory Information System) as soon as OCR completes — doctors see results in the HIS without waiting for manual entry
- Export XML / JSON into automated systems, supporting HL7 / FHIR standards for hospital-grade integration
For Insurance Claim Processing
- OCR the full claim document set: treatment receipts, medical certificates, copies of national ID cards, referral letters
- Automatically extract: patient name, HN number, treatment date, treatment items, amounts, ICD-10 codes
- Push data into the claims system automatically via webhook — reducing manual claim processing from 15 minutes per case to under 2 minutes
Security and Compliance
Medical documents are among the most sensitive data that exists. Ocriva is designed to meet every requirement healthcare organisations have:
| Feature | Detail |
|---|---|
| File Retention | Configure document retention periods to meet legal requirements (e.g., medical records for 5 years) — auto-delete when expired, no manual management needed |
| PDPA Compliant | Patient personal data is handled in accordance with the Personal Data Protection Act B.E. 2562 — full consent management included |
| Multi-tenant | Separate projects by branch or department — staff in one department can only access data they are authorised to see |
| Role-Based Access | Assign permissions by role: doctor, nurse, pharmacist, administrative staff — no cross-access |
| Audit Trail | Every document access, every export, and every edit is fully logged and can be reviewed at any time |
Example Use Cases
Case 1 — Aesthetic clinic with 5 branches:
Each branch is a separate project in Ocriva. Staff photograph treatment receipts and send them via LINE immediately. Data flows into the central system automatically. Revenue per branch is summarised and monthly analytics are visible from a single dashboard.
Case 2 — Mid-size hospital:
The lab batch-uploads 100 analysis results. AI OCR processes them. A webhook sends JSON data into the LIS. Doctors see lab results in the HIS within 3 minutes instead of waiting 30–45 minutes for manual key-in.
Get Started
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