Sensor-Based Decision Support for the Allocation of Patient Attendants in Hospitals

Gfeller, Sascha; Kyburz, Philip; Schmitt, Kai-Uwe; Bürkle, Thomas; Holm, Jürgen; Sariyar, Murat (2020). Sensor-Based Decision Support for the Allocation of Patient Attendants in Hospitals Studies in health technology and informatics, 270, pp. 673-677. IOS Press 10.3233/SHTI200245

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In hospitals, patient attendants are often necessary in order to closely monitor patients with high risk of self-endangering actions and reactions. However, such additional monitoring of patients is associated with high costs. In this paper, we describe a technical infrastructure for monitoring the patient's activities, which helps to assess whether an attendant should be requested. It was central to for us to use non-invasive sensors and to exploit a variety of patient data such as heart rate, micro-activity and oxygen saturation.

Item Type:	Journal Article (Original Article)
Division/Institute:	School of Engineering and Computer Science > Institut für Medizininformatik I4MI
Name:	Gfeller, Sascha; Kyburz, Philip; Schmitt, Kai-Uwe; Bürkle, Thomas; Holm, Jürgen and Sariyar, Murat
ISSN:	1879-8365
Publisher:	IOS Press
Language:	English
Submitter:	Lea Meier
Date Deposited:	09 Nov 2020 10:44
Last Modified:	09 Nov 2020 10:44
Publisher DOI:	10.3233/SHTI200245
PubMed ID:	32570468
Uncontrolled Keywords:	clinical decision support micro-activity patient sitters sensors
ARBOR DOI:	10.24451/arbor.13264
URI:	https://arbor.bfh.ch/id/eprint/13264