Literature DB >> 16365325

Profiles in patient safety: confirmation bias in emergency medicine.

Jesse M Pines1.   

Abstract

Confirmation bias is a pitfall in emergency care and may lead to inaccurate diagnoses and inappropriate treatments and care plans. Because of the increasing severity and volume of emergency care, emergency physicians often must rely on heuristics, such as rule-out protocols, as a guide to diagnosing and treating patients. The use of heuristics or protocols can be potentially misleading if the initial diagnostic impression is incorrect. To minimize cognitive dissonance, clinicians may accentuate confirmatory data and ignore nonconfirmatory data. Clinicians should recognize confirmation bias as a potential pitfall in medical decision making in the emergency department. Reliance on the scientific method, Bayesian reasoning, metacognition, and cognitive forcing strategies may serve to improve diagnostic accuracy and improve patient care.

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Year:  2005        PMID: 16365325     DOI: 10.1197/j.aem.2005.07.028

Source DB:  PubMed          Journal:  Acad Emerg Med        ISSN: 1069-6563            Impact factor:   3.451


  14 in total

1.  A pragmatic comparative study of palliative care clinician's reports of the degree of shadowing visible on plain abdominal radiographs.

Authors:  Katherine Clark; L Lam; N J Talley; G Watts; J L Phillips; N J Byfieldt; D C Currow
Journal:  Support Care Cancer       Date:  2018-05-07       Impact factor: 3.603

Review 2.  Understanding Decision Making in Critical Care.

Authors:  Geoffrey K Lighthall; Cristina Vazquez-Guillamet
Journal:  Clin Med Res       Date:  2015-09-20

3.  Can authorship bias be detected in meta-analysis?

Authors:  Ahmed M Abou-Setta; Rasheda Rabbani; Lisa M Lix; Alexis F Turgeon; Brett L Houston; Dean A Fergusson; Ryan Zarychanski
Journal:  Can J Anaesth       Date:  2019-02-06       Impact factor: 5.063

4.  What was I thinking? Eye-tracking experiments underscore the bias that architecture exerts on nuclear grading in prostate cancer.

Authors:  Dario Bombari; Braulio Mora; Stephan C Schaefer; Fred W Mast; Hans-Anton Lehr
Journal:  PLoS One       Date:  2012-05-30       Impact factor: 3.240

5.  Qualitative analysis of medical student reflections on the implicit association test.

Authors:  Cristina M Gonzalez; Yuliana S Noah; Nereida Correa; Heather Archer-Dyer; Jacqueline Weingarten-Arams; Javeed Sukhera
Journal:  Med Educ       Date:  2021-02-24       Impact factor: 7.647

6.  Retroperitoneal Hematoma Following Elective Abdominal Aortic Aneurysm Repair: A Case Report.

Authors:  Spencer Holowachuk; Martin Ma; George Oreopoulos
Journal:  A A Pract       Date:  2020-06

7.  Automated detection of heuristics and biases among pathologists in a computer-based system.

Authors:  Rebecca S Crowley; Elizabeth Legowski; Olga Medvedeva; Kayse Reitmeyer; Eugene Tseytlin; Melissa Castine; Drazen Jukic; Claudia Mello-Thoms
Journal:  Adv Health Sci Educ Theory Pract       Date:  2012-05-23       Impact factor: 3.853

8.  What Do Physicians Believe About the Way Decisions Are Made? A Pilot Study on Metacognitive Knowledge in the Medical Context.

Authors:  Paola Iannello; Valeria Perucca; Silvia Riva; Alessandro Antonietti; Gabriella Pravettoni
Journal:  Eur J Psychol       Date:  2015-11-27

Review 9.  Critical Imperative for the Reform of British Interpretation of Fetal Heart Rate Decelerations: Analysis of FIGO and NICE Guidelines, Post-Truth Foundations, Cognitive Fallacies, Myths and Occam's Razor.

Authors:  Shashikant L Sholapurkar
Journal:  J Clin Med Res       Date:  2017-02-21

Review 10.  Categorization of Fetal Heart Rate Decelerations in American and European Practice: Importance and Imperative of Avoiding Framing and Confirmation Biases.

Authors:  Shashikant L Sholapurkar
Journal:  J Clin Med Res       Date:  2015-07-24
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