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

[img]
Preview
Text
SHTI-270-SHTI200245.pdf - Published Version
Available under License Creative Commons: Attribution-Noncommercial (CC-BY-NC).

Download (432kB) | Preview

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:

15 Jan 2024 15:19

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

Actions (login required)

View Item View Item
Provide Feedback