Abstract
Current patient monitoring solutions struggle with high rates of false alarms, which potentially lead to dismissal of clinically relevant alarms. This risk is in particular present in emergency departments and acute bed wards where highly heterogeneous patients are treated in rapid succession. In this paper, we present the design, implementation, and evaluation of a Patient Deterioration Warning System prototype. The prototype addresses these issues by providing a summarized, easy to grasp representation of monitored patients to improve the situational awareness of nurses. The prototype has been evaluated by 18 nurses on 50 patients, and achieved an agreement rate of 78%. The proposed system enables nurses to quickly and accurately gain insight into the state and trajectory of monitored patients over a period of 24 hours.
Original language | English |
---|---|
Title of host publication | Proceedings of the 2nd IEEE International Conference on Healthcare Informatics |
Editors | Wai-Tat Fu, Kai Zheng, Larry Hodges, Gregor Stiglic, Ann Blandford |
Publisher | IEEE Press |
Publication date | 6. Dec 2016 |
Pages | 129-138 |
Article number | 7776337 |
ISBN (Print) | 978-1-5090-6118-1 |
ISBN (Electronic) | 978-1-5090-6117-4 |
DOIs | |
Publication status | Published - 6. Dec 2016 |
Event | 2nd IEEE International Conference on Healthcare Informatics - Chicago, United States Duration: 4. Oct 2016 → 7. Oct 2016 Conference number: 2 http://www.ieee-ichi.org/ |
Conference
Conference | 2nd IEEE International Conference on Healthcare Informatics |
---|---|
Number | 2 |
Country/Territory | United States |
City | Chicago |
Period | 04/10/2016 → 07/10/2016 |
Internet address |
Series | Healthcare Informatics |
---|---|
ISSN | 1050-9135 |
Keywords
- emergency and acute medical services
- health informatics
- patient monitoring