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Judging health care priority in emergency situations: Patient facial appearance matters
قضاوت در مورد اولویت مراقبت های بهداشتی در مواقع اضطراری: ظاهر چهره بیمار اهمیت دارد-2020 Rationale: Extensive research has shown that implicit trait inferences from facial appearance can bias everyday
life in a pervasive way, influencing our decisions in different social contexts such as mate choice, political vote
and criminal sentence. In situations characterized by time pressure and scant information, decisions based on
inferences from facial appearance may have particularly critical and serious consequences, such as in emergency
healthcare. No studies today have investigated this aspect in an actual emergency.
Objective: The aim of the present study was to go beyond this gap and to determine whether implicit inferences
from patients’ facial appearance could be predictive of disparities in clinical evaluations and priority of treatment.
Methods: In total, 183 cases of patients were evaluated by independent judges at zero acquaintance on the
basis of different implicit facial appearance-based inferences, including trustworthiness and distress. Color-based
priority code (White, Green, or Yellow) attributed by the triage nurse at the end of the registration process were
recorded.
Results: Our results showed that more trustworthy- and distressed- looking patients faces have been associated
with a higher priority code.
Conclusions: The present study shows that specific facial appearance-based inferences influence the attribution
of priority code in healthcare that require quick decisions based on scarce clinical information such as in
emergency. These results suggest the importance to bring to the attention of the healthcare professionals’ the
possibility of being victims of implicit inferences, and prompt to design educational interventions capable to
increase their awareness of this bias in clinical evaluation. Keywords: Face perception | Facial appearance | First impression | Implicit bias | Healthcare | Emergency | Social cognition |
مقاله انگلیسی |
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Paradigm Shift in Medical Data Management
تغییر پارادایم در مدیریت داده ها پزشکی-2017 M edicine is at the beginning of a paradigm shift regarding how we store and process larger and larger amounts of data. The
change in data efficiency will not be a factor of 50%
to 75%, but rather millions of times (2). In this issue
of iJACC, Omar et al. (3) and a team of expert
researchers, statisticians, and practitioners explore the
fast-changing landscape of big data. As a reviewer, I
am impressed by the content and narrative; however,
my first impression is that the era of data informatics
will come with significant challenges, including understanding and implementing new strategic assets,
finding multiple experts with unique talent, and
becoming familiar the convergence of IT and data science. Before we begin the venture, we must understand
the basic features of the impending paradigm shift.
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مقاله انگلیسی |