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dc.contributor.advisorAmar Gupta.en_US
dc.contributor.authorFerguson, Phillip (Phillip F.)en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2018-12-18T20:04:18Z
dc.date.available2018-12-18T20:04:18Z
dc.date.issued2018en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/119779
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.en_US
dc.descriptionCataloged from PDF version of thesis. "June 2018."en_US
dc.descriptionIncludes bibliographical references (pages 61-72).en_US
dc.description.abstractIn 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.en_US
dc.description.statementofresponsibilityby Phillip Ferguson.en_US
dc.format.extent72 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT 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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleOptimization of personnel response in an eICU environmenten_US
dc.typeThesisen_US
dc.description.degreeM. Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.identifier.oclc1078783599en_US


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