Decision Support and Error Analysis of Difficult Decisions in Clinical Medicine

  • Alexander M. YemelyanovEmail author
  • J. Andrew Berry
  • Alina A. Yemelyanov
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1201)


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.


Difficult decisions under uncertainty Levels of difficulty Self-regulation of decision-making Decision support Error analysis Advanced heart failure 


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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

Authors and Affiliations

  • Alexander M. Yemelyanov
    • 1
    Email author
  • J. Andrew Berry
    • 1
  • Alina A. Yemelyanov
    • 2
  1. 1.College of Business and ComputingGeorgia Southwestern State UniversityAmericusUSA
  2. 2.School of Public HealthGeorgia State UniversityAtlantaUSA

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