Intuitive Decision Making in Emergency Medicine: An Explorative Study

Author(s):  
Christian Harteis ◽  
Christian Morgenthaler ◽  
Christine Kugler ◽  
Gabriel Roth ◽  
Bernhard Graf ◽  
...  
2011 ◽  
Vol 5 (2) ◽  
pp. 119-136 ◽  
Author(s):  
Christian Harteis ◽  
Barbara Morgenthaler ◽  
Christine Kugler ◽  
Karl-Peter Ittner ◽  
Gabriel Roth ◽  
...  

Author(s):  
Azadeh Assadi ◽  
Peter C. Laussen ◽  
Patricia Trbovich

Background and aims: Children with congenital heart disease (CHD) are at risk of deterioration in the face of common childhood illnesses, and their resuscitation and acute management is often best achieved with the guidance of CHD experts. Access to such expertise may be limited outside specialty heart centers and the fragility of these patients is cause for discomfort among many emergency medicine physicians. An understanding of the differences in macrocognition of these clinicians could shed light on some of the causes of discomfort and facilitate the development of a sociotechnological solution to this problem. Methods: Cardiac intensivists (CHD experts) and pediatric emergency medicine physicians (non-CHD experts) in a major academic cardiac center were interviewed using the critical decision method. Interview transcripts were coded deductively based on Klein’s macrocognitive framework and inductively to allow for new or modified characterization of dimensions. Results: While both CHD-experts and non-CHD experts relied on the macrocognitive functions of sensemaking, naturalistic decision making and detecting problems, the specific data and mental models used to understand the patients and course of therapy differed between CHD-experts and non-CHD experts. Conclusion: Characterization of differences between the macrocognitive processes of CHD experts and non-CHD experts can inform development of sociotechnological solutions to augment decision making pertaining to the acute management of pediatric CHD patients.


1994 ◽  
Vol 3 (3) ◽  
pp. 55-66 ◽  
Author(s):  
Lesley B. Olswang ◽  
Barbara Bain

For many of us, not having data concerning a client’s progress during treatment is tantamount to being unprepared for a lecture, or showing up at a birthday party without a present—totally unthinkable. This zealous position is based on the assumption that clinical decisions regarding treatment efficacy should be based on data. Data, in this case, refers to both quantitative and qualitative information that provides evidence for deciding the course of treatment. This is not to say that data can and should be collected on every aspect of the clinical process. Indeed, intuitive decision-making on the part of the speech-language pathologist is often warranted. But in general, a series of decisions regarding whether or not treatment is working, can and should be based on data. This article examines the ways in which we can measure treatment progress, and provides guidelines for the reader in the use of a data-based, decision-making model.


2019 ◽  
Author(s):  
Roope Oskari Kaaronen

How do mushroom foragers make safe and efficient decisions under uncertainty, or deal with the genuine risks of misiden-tification and poisoning? This article is an inquiry into ecological rationality, heuristics, perception, and decision-makingin mushroom foraging. By surveying 894 Finnish mushroom foragers, this article illustrates how socially learned rules of thumb and heuristics are used in mushroom foraging, and how simple heuristics are often complemented by more complex and intuitive decision-making. The results illustrate how traditional foraging cultures have evolved precautionary heuristics to deal with uncertainties and poisonous species, and how foragers develop selective attention through experience. The study invites us to consider whether other human foraging cultures might use heuristics similarly, how and why such traditions have culturally evolved, and whether early hunter-gatherers might have used simple heuristics to deal with uncertainty.


Author(s):  
Hatice Çolak ◽  
Emel Erdeniz ◽  
Esra Tansu Sarıyer ◽  
Ekin Çevik ◽  
Didem Yangın

BACKGROUND: Caffeine can affect depressive symptoms and decision-making. OBJECTIVE: This study aims to examine the relationship between caffeinated beverages consumption with depressive symptoms and decision-making styles. METHODS: This cross-sectional study was conducted with 432 adults working in office environment. The questionnaire consisting of individuals’ socio-demographic attributes, the frequency and the amount of caffeinated beverages consumption, the “Epidemiological Research Center-Depression (CES-D) Scale” and the “Decision-Making Styles Scale” were used. The frequency and amount of caffeinated beverages were determined using the food frequency questionnaire (FFQ). The participants were asked to choose which cup/mug they prefer to drink their caffeinated beverages and what amount they consume that beverage at a time. All the data were collected using online platforms. RESULTS: In the study, 76.7%of the participants were female and the mean age was 31.5±8.0 years. The average daily total caffeine intake of the participants was 425.8±461.4 mg and the total CES-D scale score was 17.7±11.2 points. It was found that as the amount of caffeine consumed increased, intuitive decision-making decreased and depressive symptoms increased (p <  0.05). In linear regression analysis, total caffeine consumption was found to be a significant predictor for the intuitive decision-making score (B: –0.151; p:0.002). When caffeine consumption is controlled, intuitive and rational decision making decreases with increasing depressive symptoms while addiction and avoidance decision making increased (p <  0.05). CONCLUSIONS: As a result, the amount of caffeine consumed daily was related to intuitive decision-making but did not effect depression. It has been observed that depressive symptoms affect decision-making styles in different ways. To our knowledge, our study is the first to examine the effects of caffeine consumption on depression and decision-making styles. Accordingly, future studies may focus on the link between caffeine consumption, depression, and decision-making styles in larger populations and the mechanisms that influence this relationship.


2019 ◽  
Vol 24 (04) ◽  
pp. 2050033
Author(s):  
TOBIAS ROETH ◽  
PATRICK SPIETH ◽  
VERENA JOACHIM

Decision-makers often struggle to terminate unsuccessful new product development (NPD) projects, so that escalating commitment occurs. Although research shows that rational and intuitive decision-making styles (DMS) as well as a decision-maker’s affective state determines the performance of NPD decisions, little is known about their influences on escalating commitment. By applying the affect infusion model in an experimental study, we investigate how a decision-maker’s affective state influence their escalating commitment by focusing on their use of a rational and an intuitive DMS. Our findings, based on 366 respondents, show that a rational DMS is unable to reduce commitment escalation. Surprisingly, an intuitive DMS is able to reduce a decision-maker’s commitment in the case of a positive affect, whereas a rational DMS increases their commitment in the case of a negative affect. Thus, our interdisciplinary research on affect and decision-making extends and contributes to research into decision-making during the NPD process as well as into escalating commitment.


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