![Example of a physiological monitor. [4]
Current problem
• The alarms generated by the physiological
monitors in hospitals are important in
lifetreathing situations, but several studies
show that up to 90% of these alarms is false,
and therefore undesirable. [1; 2; 3]
• Caregivers become less sensitive for the alarms
and the alarms are sometimes even turned off
completely. This endangers patient safety.
2
1) Imhoff, M. & Kuhls, S. (2006). Alarm algorithms in critical care monitoring. Anesthesia & Analgesia, 102, 1525-1537. doi:10.1213/01.ane.0000204385.01983.61
2) Siebig, S., Kuhls, S., Imhoff, M., et al. (2010). Collection of annotated data in a clinical validation study for alarm algorithms in intensive care - a methodologic framework. Journal of Critical
Care, 25, 128-135. doi:10.1016/j.jcrc.2008.09.001
3) Schmid, F., Goepfert, M.S. & Reuter, D.A. (2013). Patient monitoring alarms in the ICU and in the operating room. Critical Care, 17(2), 216-223. doi:10.1186/cc12525
4) Philips (2017, 03 juli). Philips IntelliVue MP50 Multiparameter Monitors [foto]. Geraadpleegd van https://www.somatechnology.com/Philips-Intellivue-MP50-P1617.aspx](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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Similaire à Reducing the amount of false alarms at the Emergency Department
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Reducing the amount of false alarms at the Emergency Department
- 1. REDUCING THE AMOUNT OF FALSE ALARMS AT THE EMERGENCY DEPARTMENT Silvana Riphagen & Renée Hovenier
- 2. Example of a physiological monitor. [4] Current problem • The alarms generated by the physiological monitors in hospitals are important in lifetreathing situations, but several studies show that up to 90% of these alarms is false, and therefore undesirable. [1; 2; 3] • Caregivers become less sensitive for the alarms and the alarms are sometimes even turned off completely. This endangers patient safety. 2 1) Imhoff, M. & Kuhls, S. (2006). Alarm algorithms in critical care monitoring. Anesthesia & Analgesia, 102, 1525-1537. doi:10.1213/01.ane.0000204385.01983.61 2) Siebig, S., Kuhls, S., Imhoff, M., et al. (2010). Collection of annotated data in a clinical validation study for alarm algorithms in intensive care - a methodologic framework. Journal of Critical Care, 25, 128-135. doi:10.1016/j.jcrc.2008.09.001 3) Schmid, F., Goepfert, M.S. & Reuter, D.A. (2013). Patient monitoring alarms in the ICU and in the operating room. Critical Care, 17(2), 216-223. doi:10.1186/cc12525 4) Philips (2017, 03 juli). Philips IntelliVue MP50 Multiparameter Monitors [foto]. Geraadpleegd van https://www.somatechnology.com/Philips-Intellivue-MP50-P1617.aspx
- 3. Solution 3 • To reduce the amount of false alarms, an algorithm is developed which combines the electrocardiogram and photoplethysmogram. • Electrocardiogram (ECG) • Photoplethysmogram (PPG)
- 4. Results 4 • The first results are promising and show the potential for suppressing false alarms.
- 5. Market 5 • Potential users of the algorithm are nurses on different departments of the hospital. • Initially it comes to Dutch academic hospitals, but later also to local hospitals and hospitals abroad.
- 6. Competitors 6 • Alternative solutions for the current problem include muting of the alarms, decreasing clinically irrelevant alarms by changing thresholds and accurate application of the electrodes. • These solutions will reduce the amount of alarms. However, our algorithm focuses on the false alarms which originated by a mistake in the analysis.
- 7. Team 7 • The team includes two Master Technical Medicine students. Silvana Riphagen Renée Hovenier s.riphagen@student.utwente.nl r.hovenier@student.utwente.nl
- 8. Take Home Message Reducing false alarms at the Emergency Department using the photoplethysmogram appears to be a promising method for improving patient safety. 8
- 9. REDUCING THE AMOUNT OF FALSE ALARMS AT THE EMERGENCY DEPARTMENT Silvana Riphagen & Renée Hovenier