Literature DB >> 22411354

Mental workload as a key factor in clinical decision making.

Aidan Byrne1.   

Abstract

The decision making process is central to the practice of a clinician and has traditionally been described in terms of the hypothetico-deductive model. More recently, models adapted from cognitive psychology, such as the dual process and script theories have proved useful in explaining patterns of practice not consistent with purely cognitive based practice. The purpose of this paper is to introduce the concept of mental workload as a key determinant of the type of cognitive processing used by clinicians. Published research appears to be consistent with 'schemata' based cognition as the principle mode of working for those engaged in complex tasks under time pressure. Although conscious processing of factual data is also used, it may be the primary mode of cognition only in situations where time pressure is not a factor. Further research on the decision making process should be based on outcomes which are not dependant on conscious recall of past actions or events and include a measure of mental workload. This further appears to support the concept of the patient, within the clinical environment, as the most effective learning resource.

Entities:  

Mesh:

Year:  2012        PMID: 22411354     DOI: 10.1007/s10459-012-9360-5

Source DB:  PubMed          Journal:  Adv Health Sci Educ Theory Pract        ISSN: 1382-4996            Impact factor:   3.853


  11 in total

1.  Supplementing cross-cover communication with the patient acuity rating.

Authors:  Andrew W Phillips; Trevor C Yuen; Elizabeth Retzer; James Woodruff; Vineet Arora; Dana P Edelson
Journal:  J Gen Intern Med       Date:  2012-11-06       Impact factor: 5.128

2.  Impact of single-incision laparoscopic cholecystectomy (SILC) versus conventional laparoscopic cholecystectomy (CLC) procedures on surgeon stress and workload: a randomized controlled trial.

Authors:  Amro M Abdelrahman; Juliane Bingener; Denny Yu; Bethany R Lowndes; Amani Mohamed; Andrea L McConico; M Susan Hallbeck
Journal:  Surg Endosc       Date:  2015-07-21       Impact factor: 4.584

3.  Relations between mental workload and decision-making in an organizational setting.

Authors:  María Soria-Oliver; Jorge S López; Fermín Torrano
Journal:  Psicol Reflex Crit       Date:  2017-04-03

Review 4.  Optimizing assessors' mental workload in rater-based assessment: a critical narrative review.

Authors:  Bridget Paravattil; Kyle John Wilby
Journal:  Perspect Med Educ       Date:  2019-12

5.  Barriers inhibiting effective detection and management of postpartum hemorrhage during facility-based births in Madagascar: findings from a qualitative study using a behavioral science lens.

Authors:  Sara V Flanagan; Tina Razafinamanana; Charlotte Warren; Jana Smith
Journal:  BMC Pregnancy Childbirth       Date:  2021-04-22       Impact factor: 3.007

6.  Mental workload of frontline nurses aiding in the COVID-19 pandemic: A latent profile analysis.

Authors:  Yawei Shan; Jing Shang; Yan Yan; Gendi Lu; Deying Hu; Xuchun Ye
Journal:  J Adv Nurs       Date:  2021-02-16       Impact factor: 3.057

7.  A Latent Profile Analysis of Chinese Physicians' Workload Tethered to Paperwork During Outpatient Encounters.

Authors:  Dehe Li; Yinhuan Hu; Sha Liu; Chuntao Lu; Jiayi Li; Jinghan Zhou; Yeyan Zhang; Shaoyu Lu
Journal:  Front Public Health       Date:  2022-04-25

8.  Exploring clinical reasoning in novices: a self-regulated learning microanalytic assessment approach.

Authors:  Anthony R Artino; Timothy J Cleary; Ting Dong; Paul A Hemmer; Steven J Durning
Journal:  Med Educ       Date:  2014-03       Impact factor: 6.251

9.  Measuring Mental Workload with EEG+fNIRS.

Authors:  Haleh Aghajani; Marc Garbey; Ahmet Omurtag
Journal:  Front Hum Neurosci       Date:  2017-07-14       Impact factor: 3.169

10.  The Impact of Caller Gender on Telephone Crisis-Helpline Workers' Interpretation of Suicidality in Caller Vignettes.

Authors:  Tara Hunt; Coralie J Wilson; Peter Caputi; Ian Wilson; Alan Woodward
Journal:  Int J Environ Res Public Health       Date:  2018-04-23       Impact factor: 3.390

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