Purpose of Review: A transdisciplinary systems approach to the design of an artificial intelligence (AI) decision support system can more effectively address the limitations of AI systems. By incorporating stakeholder input early in the process, the final product is more likely to improve decision-making and effectively reduce kidney discard.

Recent Findings: Kidney discard is a complex problem that will require increased coordination between transplant stakeholders. An AI decision support system has significant potential, but there are challenges associated with overfitting, poor explainability, and inadequate trust. A transdisciplinary approach provides a holistic perspective that incorporates expertise from engineering, social science, and transplant healthcare. A systems approach leverages techniques for visualizing the system architecture to support solution design from multiple perspectives.

Summary: Developing a systems-based approach to AI decision support involves engaging in a cycle of documenting the system architecture, identifying pain points, developing prototypes, and validating the system. Early efforts have focused on describing process issues to prioritize tasks that would benefit from AI support.


Engineering Management and Systems Engineering

Second Department

Psychological Science


Casey Canfield, Daniel Shank, Mark Schnitzler, Krista Lentine, Henry Randall, and Cihan Dagli are supported by National Science Foundation Award #2026324.

Keywords and Phrases

Artificial Intelligence; Decision-Making; Kidney Discard; Systems Science; Transdisciplinary

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Document Type

Article - Journal

Document Version

Final Version

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Publication Date

15 Nov 2021