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From 'if-then' to 'what if?' Rethinking healthcare algorithmics with posthuman speculative ethics.

Jamie Smith1, Goda Klumbyte2, Ren Loren Britton3

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Summary

Algorithmic management in healthcare, or health care algorithmics, can create exclusions and reproduce inequalities. Posthuman speculative ethics offers a way to critically engage with these algorithmic systems.

Keywords:
algorithmic decision makingcritical posthumanismevidence-based medicinespeculative ethics

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Area of Science:

  • Health Informatics
  • Sociology of Health and Illness
  • Critical Theory

Background:

  • Evidence-based medicine utilizes research and data for patient care pathways.
  • Algorithmic prediction tools are increasingly integrated into healthcare management.
  • This integration forms 'health care algorithmics,' a new mode of healthcare governance.

Purpose of the Study:

  • To critically examine the role of algorithmic thinking and management in healthcare.
  • To identify potential exclusions and inequalities generated by health care algorithmics.
  • To explore posthuman speculative ethics as a framework for challenging current practices.

Main Methods:

  • Analysis of health care algorithmics through a critical posthumanist perspective.
  • Examination of how authority over bodies is constructed within algorithmic systems.
  • Critique of how predictive algorithms can perpetuate existing societal inequalities.

Main Results:

  • Health care algorithmics can lead to algorithmic governmentality, centering futures on existing normativities.
  • Predictive healthcare algorithms risk reproducing and amplifying societal inequalities.
  • Algorithmic biopower can regulate bodies based on data-driven predictions.

Conclusions:

  • There is a need to critically assess the ethical implications of algorithmic management in healthcare.
  • Posthuman speculative ethics provides a framework to challenge and re-imagine 'ethics' and 'care' in algorithmic healthcare.
  • Integrating speculative ethics requires critical attention to algorithmic management and prediction.