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  9. Predictive And Prognostic Markers
  11. When Will Death Be? Legal Considerations And Regulatory Safeguards In Predictive Modelling Applications For End-of-life Care

When Will Death Be? Legal Considerations and Regulatory Safeguards in Predictive Modelling Applications for End-of-Life Care

Hui Yun Chan1, Bernadette Richards2

  • 1Research Fellow, Centre for Biomedical Ethics, Yong Loo Lin School of Medicine, National University of Singapore, Clinical Research Centre, Singapore.

Journal of Law and Medicine
|February 9, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

Predictive modeling can help clinicians initiate advance care planning (ACP) conversations by estimating life expectancy. Safeguards are crucial to address ethical concerns and ensure patient-centered care during end-of-life discussions.

Area of Science:

  • Clinical Decision-Making
  • Medical Informatics
  • Bioethics

Background:

  • Advance care planning (ACP) aligns treatments with patient preferences but faces practical and legal implementation challenges.
  • Predictive modeling is emerging in clinical decision-making, including life expectancy prediction, to facilitate timely interventions.

Purpose of the Study:

  • To advocate for the use of predictive modeling to assist clinicians in initiating advance care planning conversations.
  • To highlight the potential of predictive modeling to overcome practical and legal barriers in end-of-life discussions.

Main Methods:

  • The study discusses the integration of predictive modeling into clinical workflows for initiating ACP.
  • It emphasizes the need for robust safeguards to manage ethical considerations associated with these models.
Keywords:
advance care planningartificial intelligenceend-of-life conversationsmachine learning

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Main Results:

  • Predictive modeling offers a pathway to resolve practical and legal difficulties in conducting end-of-life conversations.
  • The application of these models can enable more timely and informed ACP discussions.

Conclusions:

  • Integrating predictive modeling into ACP discussions requires careful consideration of ethical issues like explicability, accountability, and reliability.
  • Implementing appropriate safeguards is essential to ensure predictive models ethically support patient needs and interests in end-of-life care.
predictive modelling