Optimization of personnel response in an eICU environment

In this thesis, I analyzed multiple databases of eICU data and formulated methods of improving personnel response to the incidence of alerts in these environments. Multiple aspects of the eICU response workflow were considered such as the medications provided by the healthcare providers following the triggering of an alert, the settings selected by the personnel regarding the reactivation of the alerts, as well as specific responses and their correlations to specific alert types. A new algorithm for predicting the reactivation time of alerts has been developed, which takes into account the severity and type of alert, as well as the patient status.

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2018

Author dc:creator

• Ferguson, Phillip (Phillip F.)

Advisor dc:contributor.advisor

• Amar Gupta.

• Electrical Engineering and Computer Science.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/119779

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/119779