Responsible Prediction Under Critical Uncertainty: an epistemic analysis of neuroprognostic innovation practices after cardiac arrest

Research output: ThesisPhD Thesis - Research UT, graduation UT

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Abstract

The purpose of this research is to make sure that neuroprognostic innovation improves prognostic practices for patients in coma after cardiac arrest while diminishing potential downsides to a minimum. Ensuring responsible research, development, and implementation of the innovative technology demands we identify, analyze, and address the potential challenges of neuroprognostic innovation.

The main aim of this research is thus to investigate how to ensure responsible innovation of prognostication in postanoxic coma. The novel use of cEEG in prognosis of postanoxic coma serves as my case study as it is the best object of investigation for answering the main research question. Aside from being the most promising prognostic tool for this patient group, it turns out that many of EEGs challenges are challenges that established as well as future prognostic tools face as well.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • University of Twente
Supervisors/Advisors
  • Boenink, M., Supervisor
  • Brey, Philip A.E., Co-Supervisor
Award date29 Sep 2021
Place of PublicationEnschede
Publisher
Print ISBNs978-90-365-5234-9
DOIs
Publication statusPublished - 29 Sep 2021

Keywords

  • prediction
  • self-fulfilling prophecy
  • prognosis
  • cardiac arrest
  • cEEG
  • responsible research and innovation
  • medical technology
  • uncertainty
  • medical futility

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