Synchronized Total Dose Behavior and Override Support for Custom and Trial Unit Dose Drugs in Chemotherapy Manager
What’s New
- Synchronized total dose behavior: Total dose behavior for Custom and Trial Drugs is now fully synchronized with normal drugs, ensuring consistent functionality across all drug types.
- Total dose override support: Custom and trial drugs configured with unit-based dosing now support overriding the calculated total dose.
- The system-calculated total dose appears as a clickable hyperlink in draft chemotherapy plans.
- Providers can override the calculated total dose and optionally enter or select a reason for the override.
- The originally prescribed unit dose remains unchanged.
- Overridden doses are clearly reflected in reports and audit logs.
- Flat dose drugs remain non-editable and do not display a clickable total dose.
How It Works
-
Open a draft chemotherapy plan in Chemotherapy Manager.
- Add either a custom drug or a trial drug configured with unit-based dosing (e.g., mg/m²).
- The system automatically calculates the total dose.
- The calculated total dose appears as a clickable hyperlink.
- Click the hyperlink to override the total dose.
- Enter or select a reason for the override (optional).
- Save the draft plan.

If a total dose is overridden:
-
The originally ordered unit dose (e.g., mg/m²) remains unchanged as prescribed by the physician.
-
“Dose Overridden by Physician” text appears next to the total dose.
-
The Chemo plan report clearly reflects that the dose has been overridden.
-
The drug details screen logs the complete override transaction for audit and traceability purposes.
This functionality applies only to non-flat unit dose configurations.
Benefits
- Provides consistent total dose behavior across normal, custom, and trial drugs.
- Offers clinical flexibility for dose adjustments when required.
- Maintains integrity of the prescribed unit dose.
- Preserves transparency through detailed reporting and audit tracking.
- Enhances consistency and usability in chemotherapy planning workflows.

