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Published on: September 11, 2011
Reducing the carbon footprint of radiology through automatic workstation shutdown protocols
H Walters1, K Bowden1, N Limphaibool1
1Oxford University Hospitals NHS Foundation Trust, UK.
Implementing an automatic power-off protocol for radiology workstations significantly reduced energy consumption and carbon emissions. This simple, replicable measure saved money and improved sustainability in healthcare settings without workflow disruption.
Area of Science:
- Environmental Science
- Healthcare Management
- Energy Efficiency
Background:
- Healthcare systems significantly contribute to carbon emissions, with the UK National Health Service (NHS) responsible for 4% of national CO2 emissions.
- Radiology departments have high energy demands due to HVAC, scanners, and numerous workstations, presenting opportunities for emission reduction.
Purpose of the Study:
- To investigate the impact of an automatic power-off/on protocol for radiology workstations on energy consumption, carbon emissions, and financial savings.
- To assess the feasibility and effectiveness of this protocol as a sustainability measure in an acute hospital trust.
Main Methods:
- Collected power usage, CO2 emissions, and energy cost data from 88 workstations before and after implementing an automatic shutdown protocol.
- The protocol ensured workstations were powered off during out-of-hours periods and weekends.
Main Results:
- Average weekly workstation on-time decreased from 148 to 75.5 hours.
- Achieved an annual energy saving of 17 MWh, a reduction of 3.4 tonnes CO2 equivalent, and a financial saving of £5000.
- No workflow disruptions or user complaints were reported.
Conclusions:
- The automatic power-off protocol is an effective and easily replicable sustainability measure for radiology departments.
- While individual workstation savings are modest, broader implementation across hospital networks can yield substantial environmental and financial benefits.
- This intervention highlights the potential of addressing human factors in power management for improved healthcare sustainability.
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