Literature DB >> 25138244

Real-time data acquisition and alerts may reduce reaction time and improve perfusionist performance during cardiopulmonary bypass.

J R Beck1, K Fung2, H Lopez2, L B Mongero2, M Argenziano3.   

Abstract

Delayed perfusionist identification and reaction to abnormal clinical situations has been reported to contribute to increased mortality and morbidity. The use of automated data acquisition and compliance safety alerts has been widely accepted in many industries and its use may improve operator performance. A study was conducted to evaluate the reaction time of perfusionists with and without the use of compliance alert. A compliance alert is a computer-generated pop-up banner on a pump-mounted computer screen to notify the user of clinical parameters outside of a predetermined range. A proctor monitored and recorded the time from an alert until the perfusionist recognized the parameter was outside the desired range. Group one included 10 cases utilizing compliance alerts. Group 2 included 10 cases with the primary perfusionist blinded to the compliance alerts. In Group 1, 97 compliance alerts were identified and, in group two, 86 alerts were identified. The average reaction time in the group using compliance alerts was 3.6 seconds. The average reaction time in the group not using the alerts was nearly ten times longer than the group using computer-assisted, real-time data feedback. Some believe that real-time computer data acquisition and feedback improves perfusionist performance and may allow clinicians to identify and rectify potentially dangerous situations.
© The Author(s) 2014.

Keywords:  Spectrum Medical; cardiopulmonary bypass; compliance alert; reaction time

Mesh:

Year:  2014        PMID: 25138244     DOI: 10.1177/0267659114548257

Source DB:  PubMed          Journal:  Perfusion        ISSN: 0267-6591            Impact factor:   1.972


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5.  Analysis of Dynamic Changes in Cognitive Workload During Cardiac Surgery Perfusionists' Interactions With the Cardiopulmonary Bypass Pump.

Authors:  Lauren R Kennedy-Metz; Roger D Dias; Rithy Srey; Geoffrey C Rance; Heather M Conboy; Miguel E Haime; Jacquelyn A Quin; Steven J Yule; Marco A Zenati
Journal:  Hum Factors       Date:  2020-12-16       Impact factor: 2.888

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