Literature DB >> 16696259

Drug delivery as control task: improving performance in a common anesthetic task.

Frank A Drews1, Noah Syroid, James Agutter, David L Strayer, Dwayne R Westenskow.   

Abstract

OBJECTIVE: To conceptualize delivery of anesthesia as a control task, similar to control tasks in nonmedical domains, and to evaluate how presentation of new information and feedback affects task performance.
BACKGROUND: In anesthesia, integrated monitors that show intravenous drug and effect-site concentrations in a patient currently do not exist. However, using real-time displays of intravenous anesthetic concentrations and effects could significantly enhance intraoperative clinical performance. Pharmacological models are available to estimate past, present, and future drug concentrations in the brain and to predict the drug's physiological effects. A display that integrates pharmacological models and visualizes drug concentrations was developed and tested to see if this drug display significantly improved clinical performance.
METHOD: Thirty-three anesthesiologists with different levels of expertise administered anesthesia to simulated patients in a high-fidelity patient simulator. The experimental group used a drug display that visualized drug concentrations in real time, whereas the control group administered drugs without this information.
RESULTS: Anesthesiologists using the drug display achieved better hemodynamic control of the simulated patient than did the control group. Similarly, the drug display enabled anesthesiologists to wake up and reanimate the patient faster.
CONCLUSION: Visual feedback of drug concentrations leads to superior performance in the delivery of anesthesia. Drug delivery can be conceptualized within a control theoretical framework. Finally, the drug display has significant clinical potential to increase patient safety. APPLICATION: Clinical performance in delivering anesthesia depends on feedback. By providing this feedback, the drug display supports clinicians' ability to more precisely and safely administer anesthesia.

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Year:  2006        PMID: 16696259     DOI: 10.1518/001872006776412216

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  7 in total

1.  A tool predicting future mean arterial blood pressure values improves the titration of vasoactive drugs.

Authors:  Matthias Görges; Dwayne R Westenskow; Kai Kück; Joseph A Orr
Journal:  J Clin Monit Comput       Date:  2010-06-18       Impact factor: 2.502

Review 2.  Evaluations of physiological monitoring displays: a systematic review.

Authors:  Matthias Görges; Nancy Staggers
Journal:  J Clin Monit Comput       Date:  2007-12-07       Impact factor: 2.502

Review 3.  Measurement of mental workload in clinical medicine: a review study.

Authors:  Aidan Byrne
Journal:  Anesth Pain Med       Date:  2011-09-26

4.  Critical care information display approaches and design frameworks: A systematic review and meta-analysis.

Authors:  Melanie C Wright; Damian Borbolla; Rosalie G Waller; Guilherme Del Fiol; Thomas Reese; Paige Nesbitt; Noa Segall
Journal:  J Biomed Inform X       Date:  2019-06-22

5.  Effectiveness of the advisory display SmartPilot® view in the assessment of anesthetic depth in low risk gynecological surgery patients: a randomized controlled trial.

Authors:  Hilde Strand; Ann Charlott Elshaug; Øyvind Bernersen; Randi Ballangrud
Journal:  BMC Anesthesiol       Date:  2022-02-28       Impact factor: 2.217

6.  Why and How to Approach User Experience in Safety-Critical Domains: The Example of Health Care.

Authors:  Tobias Grundgeiger; Jörn Hurtienne; Oliver Happel
Journal:  Hum Factors       Date:  2020-01-08       Impact factor: 2.888

7.  Iterative heuristic design of temporal graphic displays with clinical domain experts.

Authors:  Thomas J Reese; Noa Segall; Guilherme Del Fiol; Joseph E Tonna; Kensaku Kawamoto; Charlene Weir; Melanie C Wright
Journal:  J Clin Monit Comput       Date:  2020-08-02       Impact factor: 1.977

  7 in total

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