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Beyond the gender data gap: co-creating equitable digital patient twins.

Nora Weinberger1, Daniela Hery2, Dana Mahr1

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Digital patient twins can personalize medicine but often lack gender and socio-economic data, leading to health disparities. Inclusive design is crucial for equitable AI in healthcare.

Keywords:
artificial intelligenceco-creationdigital patient twinsethical aspectsgender data gappersonalized medicinesocial implications

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Area of Science:

  • Digital Health
  • Artificial Intelligence
  • Personalized Medicine

Background:

  • Digital patient twins integrate patient data with AI for personalized diagnostics and treatments.
  • Current digital patient twins often neglect gender and socio-economic factors, creating health outcome disparities.
  • This data gap is a recognized problem in digital health, impacting clinical effectiveness.

Purpose of the Study:

  • To explore the interdisciplinary aspects of digital patient twins, including technical, medical, social, and ethical challenges.
  • To emphasize the need for gender-sensitive design and co-creation in developing digital patient twins.
  • To highlight strategies for creating more inclusive and ethically responsible digital patient twins.

Main Methods:

  • Mini-review of interdisciplinary connections.
  • Exploration of technical foundations, medical relevance, and social/ethical challenges.
  • Analysis of gender-sensitive design and co-creation approaches.

Main Results:

  • Digital patient twins risk perpetuating inequalities without intersectional and inclusive frameworks.
  • The interplay between gender, AI-driven decision-making, and health equity is critical.
  • Current approaches may reinforce existing biases, diminishing clinical utility.

Conclusions:

  • Inclusive and ethically responsible digital patient twins require addressing the gender data gap.
  • Co-creation and intersectional frameworks are essential for mitigating health disparities.
  • Further interdisciplinary approaches are needed to ensure equitable AI in personalized medicine.