Literature DB >> 26869249

Applying principles from the game theory to acute stroke care: Learning from the prisoner's dilemma, stag-hunt, and other strategies.

Gustavo Saposnik1, S Claiborne Johnston2.   

Abstract

BACKGROUND: Acute stroke care represents a challenge for decision makers. Decisions based on erroneous assessments may generate false expectations of patients and their family members, and potentially inappropriate medical advice. Game theory is the analysis of interactions between individuals to study how conflict and cooperation affect our decisions. AIMS: We reviewed principles of game theory that could be applied to medical decisions under uncertainty.
SUMMARY: Medical decisions in acute stroke care are usually made under constrains: short period of time, with imperfect clinical information, limit understanding about patients and families' values and beliefs. Game theory brings some strategies to help us manage complex medical situations under uncertainty. For example, it offers a different perspective by encouraging the consideration of different alternatives through the understanding of patients' preferences and the careful evaluation of cognitive distortions when applying 'real-world' data. The stag-hunt game teaches us the importance of trust to strength cooperation for a successful patient-physician interaction that is beyond a good or poor clinical outcome.
CONCLUSIONS: The application of game theory to stroke care may improve our understanding of complex medical situations and help clinicians make practical decisions under uncertainty.
© 2016 World Stroke Organization.

Entities:  

Keywords:  Acute stroke therapy; decision making; decision neuroscience; endovascular; game theory; neuroeconomics; outcomes; prevention; prisoners’ dilemma

Mesh:

Year:  2016        PMID: 26869249     DOI: 10.1177/1747493016631725

Source DB:  PubMed          Journal:  Int J Stroke        ISSN: 1747-4930            Impact factor:   5.266


  1 in total

1.  John Nash and the Organization of Stroke Care.

Authors:  M Goyal; A T Wilson; D Mayank; N Kamal; D H Robinson; D Turkel-Parrella; J A Hirsch
Journal:  AJNR Am J Neuroradiol       Date:  2017-11-30       Impact factor: 3.825

  1 in total

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