CODE Opioid-Calculation Evaluation
Completed evaluation findings and the current formal CODE research protocol.
CODE Evaluation
CODE (Calculator for Opioid Dose Education) is the PalliCalc opioid-conversion workflow. The completed randomized educational evaluation compared CODE-assisted calculation with conventional methods.
86%Post-test calculation accuracy with CODE
72%Post-test calculation accuracy with conventional methods
p = 0.041Reported difference in post-test calculation accuracy
63% vs 48%Post-test confidence, CODE vs conventional
These findings describe calculation performance and confidence in the completed educational evaluation, not direct patient clinical outcomes.
Formal CODE Trial Protocol
Title: The CODE Trial (Calculator for Opioid Dose Education): Evaluating the Efficacy of a Localized Digital Opioid Calculator Tool on Opioid Conversion Accuracy and Clinician Confidence Among Doctors and Pharmacists.
- Prospective randomized controlled educational study
- Pre-test / post-test design with 1:1 randomization
- Separate doctor and pharmacist cohorts
- Planned recruitment: 128 healthcare professionals
- Three-month longitudinal follow-up
- NMRR submission pending
Clinical Workflow
CODE supports institution-configurable opioid conversion, multi-opioid aggregation, route-specific conversion, maintenance dosing, breakthrough/PRN calculations, cross-tolerance prompts and other safety checks described in the project documentation.
CODE Project Team
Alison Chai Ling Pao
Project Lead · System development, workflow design, analysis and implementation
Dr. Choo Yoke Ling
Palliative Clinical Lead · Review of conversion ratios, clinical scenarios and safety elements
Chai Siang Ching
Pharmacy cohort coordinator and educational facilitator
Sim Poh Ping
Logistics, implementation and compliance support
Nur Syahida Binti Hamdan
Logistics, implementation and compliance support
Nur Nadia Nadira Binti Abdul Rahman
Logistics, implementation and compliance support
Governance & Innovation
- JKNS ICT approval documented for CODE in August 2026
- Submitted to AIKKM 2026 under the Technology Innovation category
- NMRR submission for the formal research study is pending