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Link to original content: https://doi.org/10.1007/978-3-030-51041-1_29
Decision Support and Error Analysis of Difficult Decisions in Clinical Medicine | SpringerLink
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Decision Support and Error Analysis of Difficult Decisions in Clinical Medicine

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Advances in Neuroergonomics and Cognitive Engineering (AHFE 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1201))

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Abstract

This work focuses on supporting difficult decisions in clinical medicine by using the self-regulation model of decision-making. Core shaping factors of instrumental and value rationality and their role in the decision process are discussed. The concept of decision-making difficulty is discussed, and a classification of problems by their difficulty level is suggested. The mobile application Express Decision is used as an instrumental tool when healthcare providers/health professionals need to make quick decisions for difficult problems under uncertainty. The application of Express Decision for shared decision-making in advanced heart failure is demonstrated.

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References

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Author information

Authors and Affiliations

  1. College of Business and Computing, Georgia Southwestern State University, 800 Georgia Southwestern State University Drive, Americus, GA, 31709, USA

    Alexander M. Yemelyanov & J. Andrew Berry

  2. School of Public Health, Georgia State University, 140 Decatur Street SE, Atlanta, GA, 30303, USA

    Alina A. Yemelyanov

Authors
  1. Alexander M. Yemelyanov
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  2. J. Andrew Berry
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  3. Alina A. Yemelyanov
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Corresponding author

Correspondence to Alexander M. Yemelyanov .

Editor information

Editors and Affiliations

  1. Drexel University, Philadelphia, PA, USA

    Hasan Ayaz

  2. National University of Sciences and Tech (NUST), School of Mech and Manufacturing Eng (SMME), Islamabad, Pakistan

    Umer Asgher

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Yemelyanov, A.M., Andrew Berry, J., Yemelyanov, A.A. (2021). Decision Support and Error Analysis of Difficult Decisions in Clinical Medicine. In: Ayaz, H., Asgher, U. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1201. Springer, Cham. https://doi.org/10.1007/978-3-030-51041-1_29

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