Pocus as a tool to avoid diagnostic errors in covid-19 era


Case Report

Author Details : Muniza Bai, Dharm Prakash Dwivedi*, Abhishek Singh Chauhan, Vemuri Mahesh Babu, Sneha Leo, Shahana M P

Volume : 6, Issue : 4, Year : 2021

Article Page : 256-258

https://doi.org/10.18231/j.ijirm.2021.056



Suggest article by email

Get Permission

Abstract

X-ray flips and wrong labelling has been uncomfortably common, and often results in wrong side intervention. Wrong side surgery is indeed the most dramatic and visible form of human errors. Until the 1999 Institute of Medicine report ‘To Err is Human’, the medical fraternity was largely unaware of such preventable medical errors and near misses. We herein, describe a case where X-ray flip and mislabelling led to wrong side intervention in a COVID-19 ICU. Active errors in human performance are inevitable while practising medicine in the current COVID-19 pandemic where difficulties in performing comprehensive systemic examination with the protective gear on, long working hours, work stress, emotions, and fatigue interplay with the errors in technology and increase the chances of errors. We propose the use of point of care ultrasound (POCUS) in COVID-19 ICU’s to aid in the diagnosis and management.
 

Keywords: Xray flips, mislabelling, POCUS, COVID19, novel coronavirus


How to cite : Bai M, Dwivedi D P, Chauhan A S, Babu V M, Leo S, Shahana M P, Pocus as a tool to avoid diagnostic errors in covid-19 era. IP Indian J Immunol Respir Med 2021;6(4):256-258


This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.







Article History

Received : 02-12-2021

Accepted : 27-12-2021


View Article

PDF File   Full Text Article


Copyright permission

Get article permission for commercial use

Downlaod

PDF File   XML File   ePub File


Digital Object Identifier (DOI)

Article DOI

https://doi.org/ 10.18231/j.ijirm.2021.056


Article Metrics






Article Access statistics

Viewed: 828

PDF Downloaded: 390