What to check when evaluating prescription recognition

Handwritten prescriptions vary in layout, image quality and the way medicines and instructions are written. A useful product evaluation should include examples representative of the hospital’s daily work.

Smart Parcha uses AI-assisted recognition to turn handwritten prescriptions into structured digital records. Review the output field by field, especially medicine names, dosage and instructions. Establish who will verify the information before it is used in the next workflow.

Ask how corrections are made, whether the source prescription remains available and how the process handles information that cannot be read reliably. Check which controls are available in the proposed configuration.

Evaluate the complete task, including capture, checking and correction, rather than processing speed alone. Record the sample size, testing conditions and the definitions used for any accuracy result.

Book a Smart Parcha demonstration to review the workflow with your team.