Green & Sustainable Radiology: Advancing One Health Through Energy Efficiency & Environmental Responsibility
グリーンで持続可能な放射線科：エネルギー効率と環境責任によるワンヘルスの推進 (AI 翻訳)
Rachna Chaurasia, Amar Singh
🤖 gxceed AI 要約
日本語
本研究は、病院放射線科の電力消費プロファイルを評価し、標準化された30%の省エネ介入による効果を分析した。MRIが全体の半分以上を占め、介入後は月間消費電力量が24,419kWhから17,094kWhに削減された。高負荷機器への対策が大きな節電につながることを示した。
English
This study evaluates the electricity consumption of a hospital radiology department and the impact of a 30% energy-efficiency intervention. MRI accounted for over half of usage. Post-intervention, monthly consumption dropped from 24,419 kWh to 17,094 kWh, showing significant savings from targeting high-load equipment.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の医療機関でもエネルギー消費削減は重要だが、本研究はインドの単一施設の事例であり、直接的な応用にはさらなる検証が必要。日本では省エネ法やグリーン購入法などの枠組みと関連づけられる可能性がある。
In the global GX context
This paper offers a practical example of reducing energy consumption in healthcare, relevant to global efforts to decarbonize the sector. While not directly addressing disclosure frameworks like TCFD or ISSB, it provides actionable insights for hospital sustainability programs.
👥 読者別の含意
🔬研究者:省エネ介入の効果を定量化した実証データとして、医療分野のエネルギー研究に活用できる。
🏢実務担当者:病院の放射線科や施設管理部門は、高負荷機器のエネルギー最適化によるコスト削減と環境負荷低減の参考にできる。
🏛政策担当者:医療分野の省エネ政策立案において、具体的な削減ポテンシャルを示す事例として参照できる。
📄 Abstract（原文）
Introduction: Radiology is essential to modern healthcare, but advanced imaging modalities such as magnetic resonance imaging and computed tomography are highly energy-intensive. Continuous equipment operation, cooling systems, and digital infrastructure significantly increase electricity use and carbon emissions. With growing climate concerns and healthcare energy demands, integrating sustainability into radiology practice is crucial within the One Health framework. Aim & Objectives: This study aimed to evaluate the electricity consumption profile of a hospital radiology department and assess the impact of structured energy-efficiency interventions. The objectives were to identify major energy-consuming equipment, quantify baseline electricity use, and determine potential reductions achievable through uniform efficiency measures. Materials & Methods: This observational, evidence-based assessment evaluated the monthly electricity consumption of radiology and HVAC equipment before and after a standardized 30 percent energy-efficiency intervention. Equipment-wise power use was recorded, categorized, and compared to determine absolute and relative reductions in energy demand. Results: Baseline analysis demonstrated a highly skewed consumption pattern, with the MRI system accounting for more than half of total monthly electricity use, followed by air conditioning and CT scanners. After intervention, total monthly consumption decreased from 24,419 kWh to 17,094 kWh, achieving a net reduction of 7,325 kWh. The largest absolute savings were observed in MRI, HVAC systems, and CT scanners, while low-power devices showed minimal impact. Conclusion: Targeted energy optimization in high-load imaging and climate control systems can produce substantial electricity savings without compromising diagnostic services. Adoption of sustainable radiology practices represents a practical pathway to reduce healthcare carbon footprint while supporting environmental and public health goals.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.71393/yanek341first seen 2026-06-06 04:44:37
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。