{"id":971,"date":"2023-12-02T17:30:25","date_gmt":"2023-12-02T16:30:25","guid":{"rendered":"https:\/\/bnef.pl\/2025\/?page_id=971"},"modified":"2025-03-03T11:10:23","modified_gmt":"2025-03-03T10:10:23","slug":"day-3","status":"publish","type":"page","link":"https:\/\/bnef.pl\/2025\/en\/agenda\/day-3\/","title":{"rendered":"Workshops"},"content":{"rendered":"\n
\n\n \n Poprzedni dzie\u0144 <\/a>\n \n \n Nast\u0119pny dzie\u0144 <\/a>\n \n <\/div>\n\n
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Workshops \/ 19th -20th March <\/span><\/h3>\n <\/div>\n
\n\n \n \n \n \n Day 1 \/ 18th<\/sup> March <\/span>\n <\/a>\n\n \n \n \n \n Day 2 \/ 19th<\/sup> March <\/span>\n <\/a>\n\n \n \n \n \n Workshops \/ 19th -20th March <\/span>\n <\/a>\n\n \n \n \n \n Study tour \/ 20th<\/sup> – 22nd<\/sup> March<\/span>\n <\/a>\n\n \n \n <\/div>\n \n
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19th March<\/h4>\n

Workshop<\/p>\n

15:00 – 17:00<\/p>\n <\/div>\n \n \n

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15:00-17:00<\/p>\n

120 minutes<\/p>\n \n <\/div>\n

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Workshop: Green Radiology Facility: How to implement more sustainable practices in diagnostic imaging facilities?<\/h4>\n

Room 3.19, 3rd floor. European Solidarity Centre<\/p>\n

Workshop conducted in Polish (no translation)<\/p>\n

The workshop Partner is:<\/p>\n

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Free of charge<\/p>\n

Register\u00a0<\/a><\/p>\n

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Workshop: Green Radiology Facility: How to implement more sustainable practices in diagnostic imaging facilities?<\/h4>\n

According to recent studies, radiology facilities emit significant amounts of greenhouse gases and consume a significant percentage of the energy used by healthcare units. It is possible to reduce the carbon footprint of diagnostic imaging facilities without compromising the quality of patient care and patient safety. In order to implement more sustainable practices in radiology, a number of actions need to be consciously planned from reducing unnecessary imaging through simple measures to increase energy efficiency and reduce waste. Another important issue (also in the context of KPO) is the judicious replacement of old equipment with new equipment, not only with better energy performance, but also enabling, for example, shorter examination and downtime between patients, or the administration of a lower volume of contrast agents, thus reducing the carbon footprint of radiology services.<\/p>\n

A first step could be to reduce the energy consumption of scanners and other equipment when not in use. Switching off 29 computers and 25 consoles overnight can reduce CO\u2082 emissions by 51 tonnes per year, while a single computed tomography (CT) scanner can save 14,000 kWh of energy. The clinical application of artificial intelligence in radiology can reduce examination and waiting times by prioritising the most urgent examinations and supporting the outcome, as well as reducing the number of subsequent diagnostic tests.<\/p>\n

Chair: Prof. Dr. Edyta Szurowska, Medical University of Gda\u0144sk
\nCo-leaders: representative of Siemens Healthcare, representative of GE Healthcare<\/p>\n <\/div>\n Czytaj wi\u0119cej<\/a>\n <\/div>\n

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