ICM – International Congress Centre Messe Munich, Am Messesee, 81829 Munich Germany
Product demo
Visual Patient Avatar, used alongside conventional vital signs visualizations, is designed to help: Visit our booth in the ICM Foyer to learn more about Visual Patient Avatar and other clinical decision support solutions from Philips.
Registration not required
Symposium
Registration not required
Visit our
Join our interesting interactive programme of key opinion leading clinicians and subject matter experts speaking about innovative solutions in an enclosed seating area within the exhibition space.
Registration not required
Sustainability experience
Take a ride with Philips and Spacebuzz and experience what astronauts call the “overview effect” showing our planet and the impact we have.
Registration via QR code (right) or at the Philips booth or the ESAIC booth
ESAIC
With Dr Patricio González-Pizarro (Madrid, Spain), the tour will focus on Environmental sustainability in perioperative care with participating companies Medtronic, Fresenius Kabi and Philips. Healthcare sector contributes to 5.2% of global greenhouse emissions annually. These emissions come from a wide variety of sources: inhaled anaesthetic agents contribute to 3% of the total emissions from the healthcare sector. In addition, up to 4.2% of a nation’s waste generation may be attributable to healthcare, and operating rooms produce approximately 20% of all waste in a hospital. The field of anaesthesiology and intensive care has an important role to play in helping countries decrease the carbon footprint of their health systems and protect the future environmental sustainability healthcare.
1 Tscholl DW, Handschin L, Neubauer P, et al. Using an animated patient avatar to improve perception of vital sign information by anaesthesia professionals. British Journal of Anaesthesia. 2018;121(3):662-671. doi: 10.1016/j.bja.2018.04.024 2 Pfarr J, Ganter MT, Spahn DR, et al. Effects of a standardized distraction on caregivers’ perceptive performance with avatar-based and conventional patient monitoring: a multicenter comparative study. Journal of Clinical Monitoring and Computing.2020;34:1369-1378. doi.org/10.1007/s10877-019-00429-2
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