Literature DB >> 30096084

Narrative Review of Decision-Making Processes in Critical Care.

Adrian Alexis Ruiz1, Patrycja K Wyszyńska2, Krzysztof Laudanski1.   

Abstract

Several theories describing the decision-making process in the intensive care unit (ICU) have been formulated. However, none of them appreciate the complexities of the process in an eclectic way by unifying several miscellaneous variables in 1 comprehensive theory. The purpose of this review is to highlight the key intricacies associated with the decision-making process in the ICU, to describe the theoretical frameworks with a special emphasis on gaps of knowledge, and to offer some avenues for improvement. The application of theoretical framework helps us to understand and to modify the structure of the process. Expected utility theory, regret theory, prospect theory, fuzzy-trace theory, construal level theory, and quantum probability theory were formulated over the years to appreciate an increased complexity of the decision-making process in the ICU. However the decision makers engage, these models may affect patient care because each of these frameworks has several benefits and downsides. There are gaps of knowledge in understanding how physicians match the different theoretical frameworks of the decision-making process with the potentially high ICU variability and load, especially when the "best outcome" is often nondiscrete and multidimensional. Furthermore, it is unclear when the preferential application of reflexive, habitual, variable, and biased-prone processes results in patient and staff detriment. We suggest better matching of theoretical frameworks with strengths of the human decision-making process and balanced application computer aids, artificial intelligence, and organizational modifications. The key component of this integration is work to increase the self-awareness of decision-making processes among residents, fellows, and attending physicians.

Entities:  

Year:  2019        PMID: 30096084     DOI: 10.1213/ANE.0000000000003683

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  4 in total

1.  Long-Term Abnormalities of Lipid Profile After a Single Episode of Sepsis.

Authors:  Nicholas Felici; Da Liu; Josh Maret; Mariana Restrepo; Yuliya Borovskiy; Jihane Hajj; Wesley Chung; Krzysztof Laudanski
Journal:  Front Cardiovasc Med       Date:  2021-11-15

2.  The impact of critical thinking training using critical thinking cards on clinical decision-making of CCU nurses.

Authors:  Hamideh Jalalpour; Simin Jahani; Marziyeh Asadizaker; Asaad Sharhani; Habib Heybar
Journal:  J Family Med Prim Care       Date:  2021-11-05

3.  Prioritization of healthcare systems during pandemics using Cronbach's measure based fuzzy WASPAS approach.

Authors:  Muhammet Deveci; Raghunathan Krishankumar; Ilgin Gokasar; Rumeysa Tuna Deveci
Journal:  Ann Oper Res       Date:  2022-05-03       Impact factor: 4.820

4.  Machine Learning and Antibiotic Management.

Authors:  Riccardo Maviglia; Teresa Michi; Davide Passaro; Valeria Raggi; Maria Grazia Bocci; Edoardo Piervincenzi; Giovanna Mercurio; Monica Lucente; Rita Murri
Journal:  Antibiotics (Basel)       Date:  2022-02-24
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.