Analytics and Dashboard¶
Why the dashboard¶
The dashboard gives a clinic overview: patient and document counts, common diagnoses and medications, and DICOM studies.
Opening¶
After login you land on the Dashboard (/).
Screenshot: top row with user full name; cards for Patients, Documents, Diagnoses; two Chart.js charts.
Department filter¶
In the dashboard header, select a department from the dropdown or “All departments”.
Why: view statistics for your department only or the whole clinic (if you have permission).
Dashboard blocks¶
Summary numbers¶
| Card | Content |
|---|---|
| Patients | Count of accessible patients |
| Documents | Uploaded and parsed |
| Diagnoses | Unique diagnoses in data |
Charts¶
- Top 5 diagnoses — bar chart.
- Top 5 medications — bar chart.
Charts automatically adapt to dark theme.
Predictions and risks¶
- count of patients with high risk;
- risk charts by department and month;
- table of high-risk patients.
More detail: Predictions.
Webhooks¶
Block for outbound integrations (advanced users). Usually configured by an administrator.
Recent patients¶
Quick links to recently added records.
DICOM in analytics¶
The dashboard includes DICOM metadata:
- study count;
- distribution by modality (CT, MR…);
- distribution by body region.
Data export¶
- Excel — patient, document, and prediction lists (buttons on respective pages).
- PDF — report for a single patient.
Data refresh¶
The dashboard updates on page reload. New documents and predictions appear after Celery parsing/processing completes.