Send

Goal

Send anonymized patients to a remote DICOM system or AWS S3. Watch status until rows show as sent.

Before you start

1. Configure the Export Server (or AWS Cognito for S3) in Project Settings.
2. Import at least one study so the Send list is not empty (Search or Dataset).

Workflow

1. Initial Send view

1. From the Dashboard, click Send.
2. The Export window lists anonymized patients (a patient may include several studies).
3. Confirm the title shows your destination (export AE title or AWS project).

2. Select patients

1. Click one or more patient rows (SHIFT / CMD or CTRL for multi-select), or click Select All.
2. Use Clear Selection if you need to start over.
3. Already-sent rows (green) are usually left alone; the app does not re-send completed objects by default.

3. Sending

1. Click Export.
2. For DICOM destinations, the app echoes the export server first; fix connection errors with IT if echo fails.
3. While export runs, action buttons disable, Cancel Export enables, and the status line shows progress (for example Processing 0 of N Patients).
4. Date Time and Images Sent update as each patient finishes.

4. Sent

1. When all selected patients finish, status shows Processed N of N Patients.
2. Successful rows turn green with Date Time and Images Sent filled.
3. Patients you did not select stay unchanged.
4. Failed rows turn red and show Last Export Error; select them and export again if needed.

What good looks like

• Selected patients complete with green rows and matching Images Sent counts.
• Destination PACS or S3 bucket shows the anonymized studies.

If it fails

• Echo / auth failure → check export server or AWS Cognito credentials with IT.
• Nothing selected → select patients first.
• Partial failures → read Last Export Error, fix the destination, re-select red rows, Export again.

Next steps

Optional: Run headless for lab/server receive or overnight batch.