Congress:
ECR25
Poster Number:
C-27376
Type:
Poster: EPOS Radiologist (educational)
Authorblock:
M. De Summa1, S. Spinosa1, S. Fusaro1, V. A. Allegretti2, J. Gallico2, M. Verdile2; 1Roma/IT, 2MILAN/IT
Disclosures:
Marco De Summa:
Nothing to disclose
Sandro Spinosa:
Nothing to disclose
Stefania Fusaro:
Nothing to disclose
Vito Augusto Allegretti:
Nothing to disclose
Jessica Gallico:
Nothing to disclose
Michele Verdile:
Nothing to disclose
Keywords:
eHealth, Experimental, PET, PET-CT, Equipment, Economics
Materials and Methods
This study analyzed real-time energy consumption in a high-volume PET-CT system (50 daily exams) using the Siemens Data Visualizer platform. The objective was to identify inefficiencies and develop optimization strategies based on a data-driven approach.
The study followed these main steps:
-
Data Collection:
- Continuous monitoring of PET-CT energy consumption.
- Identification of inefficiencies such as prolonged standby periods and suboptimal calibration.
-
Optimization Strategies:
- Automating system power-down during idle periods.
- Adjusting room temperature and humidity based on occupancy levels.
- Scheduling high-energy procedures (e.g., whole-body scans) during low-cost energy periods.
-
Analysis and Forecasting:
- Estimation of the impact of implemented strategies using predictive models.
- Comparison of pre- and post-optimization scenarios.
This project was carried out in collaboration with Medipass and Siemens, which provided access to the Green Radiology platform and technical support for data analysis.