We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

MedImaging

Download Mobile App
Recent News Radiography MRI Ultrasound Nuclear Medicine General/Advanced Imaging Imaging IT Industry News

Study Carried to Evaluate the Financial Cost of Unsustainable Practices in a Radiology Department

By MedImaging International staff writers
Posted on 06 Jan 2015
A team led by Colin J. McCarthy MB BCh FFR(RCSI) from the Department of Radiology, St. Vincent's University Hospital (Dublin, Ireland) has carried out a study to monitor power consumption, audit waste recycling, and investigate what medical equipment vendors are doing to limit the environmental impact of their products.

The team monitored power consumption in their own radiology departments using an off-the-shelf power monitor and relevant technical manuals. The team focused on the environmental and financial cost of not switching off equipment on weekends and overnight. Another approach was to query vendors about their approach towards innovation for sustainability.

The study found that nearly all Picture Archiving and Communications System (PACS) reporting workstations (25 of 27), many desktop computers (29 of 43), and air-conditioning systems were not shutdown at night or on weekends resulting in waste a yearly cost of about USD 7,253 and resources and unnecessary Carbon Dioxide (CO2) emissions comparable to the yearly emissions of more than 10 private vehicles.

The research team came to the conclusion that simply turning off computers or air-conditioning units, and enabling hibernate or sleep modes in computer equipment brings about significant long-term financial and environmental benefits.

Related Links:

St. Vincent's University Hospital



Diagnostic Ultrasound System
DC-80A
Digital Color Doppler Ultrasound System
MS22Plus
MRI System
nanoScan MRI 3T/7T
Digital Radiographic System
OMNERA 300M

Latest General/Advanced Imaging News

AI Tool Improves Medical Imaging Process by 90%
06 Jan 2015  |   General/Advanced Imaging

New Ultrasmall, Light-Sensitive Nanoparticles Could Serve as Contrast Agents
06 Jan 2015  |   General/Advanced Imaging

AI Algorithm Accurately Predicts Pancreatic Cancer Metastasis Using Routine CT Images
06 Jan 2015  |   General/Advanced Imaging