Fairness in Healthcare Processes: A Quantitative Analysis of Decision Making in Triage

ArXi:2601.11065v2 Announce Type: replace-cross Fairness in automated decision-making has become a critical concern, particularly in high-pressure healthcare scenarios such as emergency triage, where fast and equitable decisions are essential. Process mining is increasingly investigating fairness. There is a growing area focusing on fairness-aware algorithms. So far, we know less how these concepts perform on empirical healthcare data or how they cover aspects of justice theory.