Surgery Decarbonization AI
Leveraging AI to assess and reduce environmental impact of Surgical operations

Challenge
Assessing Carbon footprint of Surgeries
Operating rooms are three to six times more energy intensive per square foot than the hospital as a whole
- 940,000 cataract surgeries are performed at Ambulatory Surgery Centers (ASC), outnumbering all other surgeries at ASCs
- Drug and resource wastage contribute an unnecessary 23,000 to 105,000 metric tons CO2 emissions at every cataract surgery site
Solution
DECARBONIZATION OF SURGERIES

Zasti’s ATOM framework for carbon estimation has been deployed at 5 ASCs to:
Baseline emissions for ASCs and calculate carbon intensity
Develop recommendations on industry benchmarks to be adopted
Identify specific "hotspot" opportunities to reduce waste, save costs and cut down on carbon emissions
Advantages
Scalability
The solution can be replicated to any surgery and operating room across hospital systems
End to End Carbon Management Platform
Visualize CO2 emission and buy carbon credits in the same platform to lower carbon footprint and achieve carbon neutrality
Emission Monitoring
Carbon assessment tool that helps hospitals to collect, monitor, and track their GHG emissions across operating rooms
Social Media Listening
Social media listening capabilities to monitor and track the public & investor sentiments of the carbon policies and assess the gaps in real-time
Climate Tech AI Solutions

Carbon Calculators
Zasti uses AI for the Co2 emissions calculator to identify the carbon footprint of the client adhering to EPA, IPCC, GHG Protocol methodologies, and more

Predictive Maintenance of Boilers
Facility management for client’s (hospitals) which had trouble meeting the required response times and over consumption of energy, causing large penalties

Energy Management using AI
Creating a comprehensive energy portfolio, including bulk supply; renewables (on-site and off-site); environmental attributes; demand and supply management; and carbon reduction programs is complicated

Predictive Maintenance and Facility Management
Utilize AI to improve efficiency for facility management: This reduces the response time for impending breakdowns and also minimizes penalties for over consumption of energy

Smart Meters
AI for understanding water/energy consumption needs, nature (domestic, public, commercial, and industrial use) of water/energy demand and water usage patterns

AI for Energy Forecasting
Inaccurate forecasts of annual energy demand results in wastage of energy, supply and demand mismatch, downtime due to unplanned power outages, and overall disruption of a facility
