1. The use of AI-technology to determine the carbon footprint of spinal surgery: experiences of a tertiary centre (Preprint)
- Author
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Savan Shah, Heidi Barnard, and Kuriakose Joshi George
- Abstract
BACKGROUND The healthcare industry is a significant contributor to global emissions, with the operating theatre representing a key contributor. Inquiry into the ecological impact of surgery is a novel and important field of research. OBJECTIVE Here, we outline the carbon footprint of a lumbar microdiscectomy at our regional unit in Greater Manchester with the use of AI technology. In doing so, we aim to define the extent of the environmental impact and identify targets for sustainable change. METHODS Our functional unit of analysis was defined as the start of the patient journey into hospital through to the final outpatient appointment. We used a combination of publicly available and locally sourced data. A detailed inventory analysis of two lumbar microdiscectomies were conducted. Each item was categorised reconciled against our AI-powered ‘CO2 analysis’ database. Kilograms of carbon dioxide equivalent (kg CO2e) was chosen as the primary measure of impact. RESULTS An average lumbar microdiscectomy at our trust, as per our defined functional unit of analysis generates 477.73kg CO2e, equivalent to a return flight from Manchester to Berlin. The operation (173.89kg CO2e, 36.40%) and the inpatient stay (144.67kg CO2e, 30.28%) constituted the biggest contributors. Single-use intraoperative equipment contributed to over three-quarters of the total emissions from the operation. CONCLUSIONS By defining the environmental burden of elective spinal surgery, we have identified carbon hotspots that can be targeted for sustainable change. By substituting polluting elements for carbon-friendly alternatives and challenging the single-use culture, we can all play our part in paving the way to a ‘net zero’ healthcare system.
- Published
- 2023
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