Clinician-in-the-Loop Annotation of ICU Bedside Alarm Data

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Departmental Papers (CIS)
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CPS Medical
biomedical monitoring
monitoring
sensors
hospitals
fatigue
alarm systems
safety
Computer Engineering
Computer Sciences
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Abstract

In this work, we describe the state of clinical monitoring in the intensive care unit and operating room, where patients are at their most fragile and thus monitoring is most heightened. We describe how large amounts of data generated by monitoring patients’ physiologic signals, along with the ubiquitous aspecific threshold alarms in use today, cause dangerous alarm fatigue for medical caregivers. In order to build more specific, more useful alarms, we gathered a novel data set that would allow us to assess the number, types, and utility of alarms currently in use in the intensive care unit. To do this, we developed a system to collect physiologic monitor data, alarms, and annotations of those alarms provided electronically by clinicians. We describe the collection process for this novel data set and provide a preliminary description of the data.

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2016-06-01
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Departmental Papers (CIS)
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2023-05-17T15:39:36.000
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The First IEEE Conference on Connected Health Applications, Systems and Engineering Technologies (IEEE CHASE 2016)(http://conferences.computer.org/chase/), Washington, DC, June 27-29, 2016
Recommended citation
@INPROCEEDINGS{7545837, author={A. Roederer and J. Dimartino and J. Gutsche and M. Mullen-Fortino and S. Shah and C. W. Hanson and I. Lee}, booktitle={2016 IEEE First International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)}, title={Clinician-in-the-Loop Annotation of ICU Bedside Alarm Data}, year={2016}, pages={229-237}, keywords={data handling;health care;hospitals;patient care;patient monitoring;physiology;ubiquitous computing;ICU bedside alarm data;clinical monitoring;clinician-in-the-loop annotation;intensive care unit;patient physiologic signal monitoring;ubiquitous aspecific threshold alarm;Alarm systems;Biomedical monitoring;Fatigue;Hospitals;Monitoring;Safety;Sensors}, doi={10.1109/CHASE.2016.10}, month={June},}
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