edc-retinopathy
Add a diabetic retinopathy screening form and REST API for integrating with a fundus camera in a clinicedc project.
A clinician creates an EyeExamRegister instance in the EDC before the exam. The camera software (fundus-camera-watchdog) resolves the subject, uploads eye images, DICOM files and reports, then checks status.
Requires django>=5.2,<6.1 and djangorestframework>=3.16.0
REST API
All endpoints use TokenAuthentication.
- GET /api/retinopathy/ping/
Health check. Returns {"status": "ok"}.
- POST /api/retinopathy/resolve/
Confirm a EyeExamRegister exists for a subject. Payload:
{"subject_identifier": "105-10-0001-2"}Returns 200 with eye_exam_register_id and uploaded list, or 404 if no session exists.
- POST /api/retinopathy/<subject_identifier>/<file_type>/
Upload a file. Multipart form with file, capture_datetime, and optional checksum (SHA-256). Valid file types:
left, right – eye images (JPEG/PNG)
left_dicom, right_dicom – DICOM files
left_report, right_report, report – reports (PDF/HTML)
Multiple files per type are accepted. Files are stored with their original filenames under <storage_dir>/images/<session_pk>/.
- GET /api/retinopathy/<subject_identifier>/status/
Session status: uploaded types, missing types, and whether the session is complete.
Models
- EyeExamRegister
Created by the clinician in the EDC. Links to RegisteredSubject and stores contra-indication screening fields, report type (combined / per-eye), and device ID.
- SessionFile
One record per uploaded file. Tracks file type, original filename, stored path, content type, size, SHA-256 checksum, and capture timestamp.
Settings
- EDC_RETINOPATHY_STORAGE_DIR
Base path for file storage. Must contain an images/ subdirectory.
- EDC_RETINOPATHY_MAX_FILE_SIZE_MB
Maximum upload size in MB (default: 10).
- EDC_RETINOPATHY_VISIT_DATETIME_FILTER
Datetime filter for Call List. If set, filters the list of subjects to those who attended AFTER the given datetime.
1 maintainer
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