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Evaluation of Climate-Aware Metrics Tools for Radiology Informatics and Artificial Intelligence: Toward a Potential Radiology Ecolabel.
Doo, Florence X; Parekh, Vishwa S; Kanhere, Adway; Savani, Dharmam; Tejani, Ali S; Sapkota, Amir; Yi, Paul H.
Afiliação
  • Doo FX; University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Radiology and Nuclear Medicine, University of Maryland, Baltimore, Maryland. Electronic address: fdoo@som.umaryland.edu.
  • Parekh VS; University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Radiology and Nuclear Medicine, University of Maryland, Baltimore, Maryland. Electronic address: https://twitter.com/vishwa_parekh.
  • Kanhere A; University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Radiology and Nuclear Medicine, University of Maryland, Baltimore, Maryland. Electronic address: https://twitter.com/AdwayKanhere.
  • Savani D; University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Radiology and Nuclear Medicine, University of Maryland, Baltimore, Maryland.
  • Tejani AS; University of Texas Southwestern Medical Center, Dallas, Texas; and Co-Chair, Resident-Fellow Section AI Subcommittee. Electronic address: https://twitter.com/AliTejaniMD.
  • Sapkota A; Chair, Department of Epidemiology and Biostatistics, School of Public Health, University of Maryland, College Park, Maryland.
  • Yi PH; University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Radiology and Nuclear Medicine, University of Maryland, Baltimore, Maryland; Vice Chair, Program Planning Committee, Society for Imaging Informatics in Medicine; and Associate Editor of Radiology: Artificial Intelligenc
J Am Coll Radiol ; 21(2): 239-247, 2024 Feb.
Article em En | MEDLINE | ID: mdl-38043630
ABSTRACT
Radiology is a major contributor to health care's impact on climate change, in part due to its reliance on energy-intensive equipment as well as its growing technological reliance. Delivering modern patient care requires a robust informatics team to move images from the imaging equipment to the workstations and the health care system. Radiology informatics is the field that manages medical imaging IT. This involves the acquisition, storage, retrieval, and use of imaging information in health care to improve access and quality, which includes PACS, cloud services, and artificial intelligence. However, the electricity consumption of computing and the life cycle of various computer components expands the carbon footprint of health care. The authors provide a general framework to understand the environmental impact of clinical radiology informatics, which includes using the international Greenhouse Gas Protocol to draft a definition of scopes of emissions pertinent to radiology informatics, as well as exploring existing tools to measure and account for these emissions. A novel standard ecolabel for radiology informatics tools, such as the Energy Star label for consumer devices or Leadership in Energy and Environmental Design certification for buildings, should be developed to promote awareness and guide radiologists and radiology informatics leaders in making environmentally conscious decisions for their clinical practice. At this critical climate juncture, the radiology community has a unique and pressing obligation to consider our shared environmental responsibility in innovating clinical technology for patient care.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Radiologia / Informática Médica Limite: Humans Idioma: En Revista: J Am Coll Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Radiologia / Informática Médica Limite: Humans Idioma: En Revista: J Am Coll Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2024 Tipo de documento: Article
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