JPIAMR - Hacking AMR 2019 - Team Mission Prescription

The slides outline our winning idea: Instead of having clinicians put in every prescription manually, we propose a tool/module that takes the diagnosis and proposes the optimal 1st line antibiotic automatically. This helps to reduce prescription of ineffective 1st line antibiotics as well as of crucial 2nd and 3rd line antibiotics, leading to lower healthcare costs and fewer resistances overall.

Transcript

1. #4 Mission Prescription Decision Support for Clinicians Sweden AMR Hacks Dec 2019
2. Clinician Jo has to write an antibiotic prescription for a patient with a UTI manually entering her choice Prescriptions are written as free text, requiring active selection of the antibiotic every time Clinicians show decision fatigue over their working day and think less about optimal choices
3. “I think it’s great, I would definitely use this module with my residents!” - Family physician 1 2 3 Our tool pre-selects the locally optimal choice for Jo and cautions against prescribing reserve antibiotics
4. Healthcare saving: $1.94 per case $3.5 million per year, Canada Cost: $200K-1 million $100-200K, per year Sensible - Sustainable - Scalable The tool will save money through more efficient antibiotic prescriptions by Jo and her peers