Wireless Sensor Network based System for the Prevention of Hospital Acquired Infections

Iuliana Bocicor, Maria Dascălu, Agnieszka Gaczowska, Sorin Hostiuc, Alin Moldoveanu, Antonio Molina, Arthur-Jozsef Molnar, Ionuț Negoi, Vlad Racoviță

2017

Abstract

Hospital acquired infections are a serious threat to the health and well-being of patients and medical staff within clinical units. Many of these infections arise as a consequence of medical personnel that come into contact with contaminated persons, surfaces or equipment and then with patients, without following proper hygiene procedures. In this paper we present our ongoing efforts in the development of a wireless sensor network based cyber-physical system which aims to prevent hospital infections by increasing compliance to established hygiene guidelines. The solution, currently developed under European Union funding integrates a network of sensors for monitoring clinical workflows and ambient conditions, a workflow engine that executes encoded workflow instances and monitoring software that provides real-time information in case of infection risk detection. As a motivating example, we employ the workflow in the general practitioner’s office in order to comprehensively present types of sensors and their positioning in the monitored location. Using the information collected by deployed sensors, the system is capable of immediately detecting infection risks and taking action to prevent the spread of infections.

References

  1. Bioquell (2016). Bioquell q-10. http://www.bioquell.com/en-uk/products/life-scienceproducts/archive-hc-products/bioquell-q10/.
  2. BIOVIGIL Healthcare Systems, Inc. (2015). Biovigil and our team. http://www.biovigilsystems.com/about/.
  3. Bluetooth SIG, Inc. (2017). Bluetooth low energy. https://www.bluetooth.com/what-is-bluetoothtechnology/how-it-works/low-energy.
  4. Bocicor, M. I., Molnar, A.-J., and Taslitchi, C. (2016). Preventing hospital acquired infections through a workflow-based cyber-physical system. In Proceedings of the 11th International Conference on Evaluation of Novel Software Approaches to Software Engineering, pages 63-68.
  5. Centers for Disease Control and Prevention (2016). HAI data and statistics. https://www.cdc.gov/hai/surveillance/.
  6. Coello, R., Glenister, H., Fereres, J., Bartlett, C., Leigh, D., Sedgwick, J., and Cooke, E. (1993). The cost of infection in surgical patients: a case-control study. Journal of Hospital Infections, 25:239-250.
  7. Curtis, D., Hlady, C., Kanade, G., Pemmaraju, S., Polgreen, P., and Segre, A. (2013). Healthcare worker contact networks and the prevention of hospitalacquired infections. Plos One. DOI: 10.1371/journal.pone.0079906.
  8. DebMed - The Hand Hygiene Compliance and Skin Care Experts (2016). A different approach to hand hygiene compliance. http://debmed.com/products/electronichand-hygiene-compliance-monitoring/a-differentapproach/.
  9. European Centre for Disease Prevention and Control (2015). Annual epidemiological report. antimicrobial resistance and healthcare-associated infections. 2014. http://ecdc.europa.eu/en/publications/Publications/ antimicrobial-resistance-annual-epidemiologicalreport.pdf.
  10. Excelion Technology Inc. (2013). Accreditrack. http://www.exceliontech.com/accreditrack.html.
  11. Fielding, R. T. (2000). Architectural styles and the design of network-based software architectures. Doctoral dissertation, University of California.
  12. General Sensing (2014). Medsense clear. hand hygiene compliance monitoring. http://www.generalsensing.com/medsenseclear/.
  13. Goga, N., Vasilateanu, A., Mihailescu, M. N., Guta, L., Molnar, A.-J., Bocicor, I., Bolea, L., and Stoica, D. (2016). Evaluating indoor localization using wifi for patient tracking. In International Symposium on Fundamentals of Electrical Engineering (ISFEE).
  14. HAI-OPS (2017). home page. http://haiops.eu.
  15. Hammer, S. (2013). Hand washing: Reducing nosocomial infections. http://iwsp.human.cornell.edu/files/2013/09/HandWashing-Reducing-Nosocomial-Infections2j1mlfb.pdf.
  16. Hladish, T., Melamud, E., Barrera, L. A., Galvani, A., and Meyers, L. A. (2012). Epifire: An open source c++ library and application for contact network epidemiology. BMC Bioinformatics, 13(1):76.
  17. Hyginex (2015). Introducing hyginex generation 3. http://www.hyginex.com/.
  18. NZOZ Eskulap (2016). NZOZ eskulap. www.eskulapskierniewice.pl/.
  19. Object Management Group (2015). Business process model and notation. http://www.bpmn.org/.
  20. Philips (2015). Protocolwatch - SSC Sepsis. http://www.healthcare.philips.com/main/products/ patient monitoring/products/protocol watch/.
  21. Pittet, D. (2001). Improving adherence to hand hygiene practice: a multidisciplinary approach. Emerging Infectious Diseases, 7:234-240.
  22. RL Solutions (2015). The rl6 suite / infection surveillance. http://www.rlsolutions.com/rl-products/infectionsurveillance.
  23. Ryan, J. (2013). Medtech profiles: Intelligentm - a simple yet powerful app to dramatically reduce hospital-acquired infections. https://medtechboston.medstro.com/profilesintelligentm/.
  24. Shhedi, Z. A., Moldoveanu, A., Moldoveanu, F., and Taslitchi, C. (2015). Real-time hand hygiene monitoring system for hai prevention. In The 5th IEEE International Conference on E-Health and Bioengineering - EHB 2015.
  25. Simonette, M. (2013). Tech solutions to hospital acquired infections. http://www.healthbizdecoded.com/2013/06/techsolutions-to-hospital-acquired-infections/.
  26. Swipe Sense (2015). Hand https://www.swipesense.com/.
  27. Tikhomirov, E. (1987). Who programme for the control of hospital infections. Chemioterapia, 6:148-151.
  28. Tru-D Smart UVC (2016). About tru-d. d.com/why-uvc-disinfection/.
  29. UltraClenz (2016). Patient safeguard http://www.ultraclenz.com/patient-safeguardsystem/.
Download


Paper Citation


in Harvard Style

Bocicor I., Dascălu M., Gaczowska A., Hostiuc S., Moldoveanu A., Molina A., Molnar A., Negoi I. and Racoviță V. (2017). Wireless Sensor Network based System for the Prevention of Hospital Acquired Infections . In Proceedings of the 12th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-250-9, pages 158-167. DOI: 10.5220/0006357801580167


in Bibtex Style

@conference{enase17,
author={Iuliana Bocicor and Maria Dascălu and Agnieszka Gaczowska and Sorin Hostiuc and Alin Moldoveanu and Antonio Molina and Arthur-Jozsef Molnar and Ionuț Negoi and Vlad Racoviță},
title={Wireless Sensor Network based System for the Prevention of Hospital Acquired Infections},
booktitle={Proceedings of the 12th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2017},
pages={158-167},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006357801580167},
isbn={978-989-758-250-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - Wireless Sensor Network based System for the Prevention of Hospital Acquired Infections
SN - 978-989-758-250-9
AU - Bocicor I.
AU - Dascălu M.
AU - Gaczowska A.
AU - Hostiuc S.
AU - Moldoveanu A.
AU - Molina A.
AU - Molnar A.
AU - Negoi I.
AU - Racoviță V.
PY - 2017
SP - 158
EP - 167
DO - 10.5220/0006357801580167