Medicine Carbon Footprint Classifier is a suite of applications to make medicine carbon emissions accessible and actionable.
MCF Classifier includes (to date):
Carbon emission data for >1700 active pharmaceutical ingredients
Carbon footprints and ratings per dose for >7000 medicine products
Integration with comprehensive data on prescriptions, volumes, costs, and more
Three products - MCF Formulary, MCF Reports, MCF Insights.
Compare medicine carbon footprint ratings for >4000 medicines in our free, user-friendly online formulary
Determine medicine carbon emissions for your greenhouse gas reporting and action prioritisation goals with our reports
Do you need bespoke support for medicine emission reporting and reduction? We can help with strategy, research, and analyses
We created MCF Classifier because standardised product-level medicines emission data is very limited.
Medicines contribute ~25% of healthcare emissions and make a significant contribution to the emissions of many organisations and companies in the medicine supply chain.
MCF Classifier brings product-level visibility to medicines and enables informed, standardised, carbon emission reporting, comparisons, prioritisations and mitigations.
MCF Method
We have scaled industry-standard metrics, through data science and machine learning, to determine the carbon footprints of small molecule medicines.
Our key metric is Process Mass Intensity (PMI), an industry-standard metric that is strongly correlated with global warming potential.
To enhance usability we stratified the emissions per dose into four categories, called MCF Ratings: LOW (<10gCO2e per dose), MEDIUM (≥10-100), HIGH (≥100-1000), VERY HIGH (≥1000).
To learn more about our methods, please read the paper and watch the webinar.
MCF Research
To better understand public sentiment on medicine carbon footprints we undertook quantitative and qualitative research.
We conducted an online survey, receiving responses from 1304 individuals from four countries. There was remarkable consistency in the responses.
We next conducted interview-based research to better understand peoples personal preferences about receiving information about the carbon footprint of medicines they were taking.
“Our research shows most people want more transparency and more action on medicine carbon emissions”