Literature DB >> 27401048

Clinical Activity Monitoring System (CATS): An automatic system to quantify bedside clinical activities in the intensive care unit.

Peng Guo1, Yeong Shiong Chiew2, Geoffrey M Shaw3, Lei Shao4, Richard Green5, Adrian Clark6, J Geoffrey Chase7.   

Abstract

Monitoring clinical activity at the bedside in the intensive care unit (ICU) can provide useful information to evaluate nursing care and patient recovery. However, it is labour intensive to quantify these activities and there is a need for an automated method to record and quantify these activities. This paper presents an automated system, Clinical Activity Tracking System (CATS), to monitor and evaluate clinical activity at the patient's bedside. The CATS uses four Microsoft Kinect infrared sensors to track bedside nursing interventions. The system was tested in a simulated environment where test candidates performed different motion paths in the detection area. Two metrics, 'Distance' and 'Dwell time', were developed to evaluate interventions or workload in the detection area. Results showed that the system can accurately track the intervention performed by individual or multiple subjects. The results of a 30-day, 24-hour preliminary study in an ICU bed space matched clinical expectations. It was found that the average 24-hour intervention is 22.0minutes/hour. The average intervention during the day time (7am-11pm) is 23.6minutes/hour, 1.4 times higher than 11pm-7am, 16.8minutes/hour. This system provides a unique approach to automatically collect and evaluate nursing interventions that can be used to evaluate patient acuity and workload demand.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  ICU; Motion tracking; Nurse-to-patient ratio; Nursing intervention

Mesh:

Year:  2016        PMID: 27401048     DOI: 10.1016/j.iccn.2016.05.003

Source DB:  PubMed          Journal:  Intensive Crit Care Nurs        ISSN: 0964-3397            Impact factor:   3.072


  2 in total

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  2 in total

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