The Use of Wireless and Bed Alarm System Technology to Prevent The Risk of Falling Patients

Dwi Nopriyanto, Muhammad Aminuddin, Rita Puspa Sari

Abstract


Assessment of services provided in hospitals is not only based on patient satisfaction but must be able to protect patients as service users. Prevention of injury due to falls is one of the six indicators of patient safety while receiving services at the hospital. The purpose of this paper is to explore the use and examine the use of information technology applications to control the occurrence of falls during hospitalization. The literature used is taken from articles and journals related to the application of information technology in the world of health and nursing and non-health ranging from 2007-2019. Wireless devices offer additional patient monitoring capabilities, thereby increasing monitoring effectiveness with regard to changes in patient sleep status and increasing the alertness of all member care team members. One of the technological designs that can be applied is to use wireless technology and an alarm system in bed (wireless and bed alarm system).

Keywords:  Patient safety, prevention of fall injuries, use of technology.


Full Text:

PDF

References


Joint C. Preventing falls and fall-related injuries in health care facilities. Sentin Event Alert [Internet]. 2015;(55):1–5. Available from: http://www.ncbi.nlm.nih.gov/pubmed/26422837

The University of York. EffectivenessMatters. Improv Acad [Internet]. 2014;(August). Available from: www.york.ac.uk/inst/crd 4

Parente ST, McCullough JS. Health Information Technology And Patient Safety: Evidence From Panel Data. Health Aff [Internet]. 2009;28(2):357–60. Available from: http://content.healthaffairs.org/cgi/content/abstract/28/2/357%5Cnhttp://healthaff.highwire.org/cgi/reprint/28/2/357.pdf

Salyer P. Integration of health information technology to improve patient safety. J Nurs Educ Pract. 2014;4(6):13.

Ferrari M, Harrison B, Rawashdeh O, Rawashdeh M, Hammond R, Maddens M. A Pilot Study Testing a Fall Prevention Intervention for Older Adults: Determining the Feasibility of a Five-Sensor Motion Detection System. J Gerontol Nurs. 2011;38(1):13–6.

Guarascio-Howard L. Examination of wireless technology to improve nurse communication, response time to bed alarms, and patient safety. Heal Environ Res Des J. 2011;4(2):109–20.

Al-Harbi A. Healthcare Providers’ Perceptions towards Health Information Applications at King Abdul-Aziz Medical City, Saudi Arabia. … J Adv Comput Sci Appl [Internet]. 2011;2(10):14–22. Available from: www.ijacsa.thesai.org

Bolton LB, Gassert C, Cipriano, P. F. Smart Technology, Enduring Solutions. J Healthc Inf Manag [Internet]. 2008;22(4):24–30. Available from: http://www.aannet.org/assets/docs/fall_jhim.pdf

Bonnet S, Jallon P, Bourgerette A, Antonakios M, Guillemaud R, Caritu Y, et al. An Ethernet motion-sensor based alarm system for epilepsy monitoring. Irbm [Internet]. 2011;32(2):155–7. Available from: http://dx.doi.org/10.1016/j.irbm.2011.01.021

Jähne-Raden N, Kulau U, Marschollek M, Wolf KH. INBED: A highly specialized system for bed-exit-detection and fall prevention on a geriatric ward. Sensors (Switzerland). 2019;19(5).

Subermaniam K, Welfred R, Subramanian P, Chinna K, Ibrahim F, Mohktar MS, et al. The effectiveness of a wireless modular bed absence sensor device for fall prevention among older inpatients. Front Public Heal. 2017;4(JAN):1–6.

Akyildiz IF, Melodia T, Chowdhury KR. A survey on wireless multimedia sensor networks. Comput Networks. 2007;51(4):921–60.

Nur FN, Moon NN. A Survey on Routing Protocols in Wireless Multimedia Sensor Networks. Int J Comput Appl. 2013;73(11).

Poonia R. Multimedia Data Navigation in Wireless Sensor Networks. Int J Comput Appl. 2011;31(10):19–26.

Kurdi HA. Review of Closed Circuit Television (CCTV) Techniques for Vehicles Traffic Management. Int J Comput Sci Inf Technol [Internet]. 2014;6(2):199–206. Available from: http://www.airccse.org/journal/jcsit/6214ijcsit16.pdf

Shinmoto Torres RL, Visvanathan R, Hoskins S, Van den Hengel A, Ranasinghe DC. Effectiveness of a batteryless and wireless wearable sensor system for identifying bed and chair exits in healthy older people. Sensors (Switzerland). 2016;16(4).




DOI: http://dx.doi.org/10.30872/j.kes.pasmi.kal.v5i1.7624

Refbacks

  • There are currently no refbacks.


Indexing by :

 https://upload.unmul.ac.id/uploads/e2a1Google-Scholar.pnghttps://upload.unmul.ac.id/uploads/e2a1Garuda.pnghttps://upload.unmul.ac.id/uploads/6e88Ios.pnghttps://upload.unmul.ac.id/uploads/6e88Base.pnghttps://upload.unmul.ac.id/uploads/47e9Sinta.png

kucing oren hackidnslotslot hokiturbox500bri4drobopragmaturbox1000scatter birucasino onlinescatter hitam