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Activity Number: 94 - Building Innovative Ethical Health Care Systems via Sequential Approaches
Type: Invited
Date/Time: Monday, August 8, 2022 : 8:30 AM to 10:20 AM
Sponsor: Mental Health Statistics Section
Abstract #320668
Title: Building Innovative Ethical Health Care Systems via Sequential Approaches
Author(s): Jane Kim*
Companies: Stanford University School of Medicine
Keywords: ethics; surveys; vignettes; sequential methods; artificial intelligence; health care

As health care systems increasingly utilize AI/ML algorithms for patient identification, diagnosis, and treatment direction, the consequences of AI-aided decision-making may yield real and significant costs. AI innovation in healthcare also raises concerns about fundamental issues of justice and ethics. While several ethical challenges have been identified, others are not well understood, to the extent that the deployment of algorithms in medicine has not yet reached a critical mass. For example, while clinicians will soon need to interpret and implement algorithmic output into their own decision-making for patient care, they will also have to grapple with the extent to which they inform the patient around the complexities of AI. To best anticipate the ethical concerns that emerge in the many stakeholder groups that are affected by algorithms, a hypothesis-driven approach that engages all stakeholders (e.g. physicians and patients) is needed. This introductory talk will motivate the use of sequential approaches in order to generate new knowledge about how key stakeholders may respond to novel intelligent systems embedded in their health care.

Authors who are presenting talks have a * after their name.

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