AI output
Initial draft documentation or recommendation support.
Validation
Validation and Continuous Quality Improvement
GDMT.ca is being developed with a structured validation philosophy supported by independent AI review, pharmacist review, issue classification, severity grading, and regression testing.
Reviewer assessment
Independent AI review and pharmacist review where appropriate.
Validation log
Issue tracking, classification, severity grading, and audit trail.
Refinement and retesting
Logic and documentation updates followed by regression testing.
Clinical accuracy
Does the output reflect the patient-specific clinical situation appropriately?
Guideline concordance
Is the recommendation aligned with evidence and practice guidance?
Documentation quality
Is the language clear, professional, supportable, and appropriately qualified?
Workflow realism
Would the output be practical and credible in real pharmacist workflow?
Medication safety
Are contraindications, safety gates, and cautionary elements handled appropriately?
Patient readability
Where relevant, is the patient-facing language understandable and not misleading?