Reconsidering Race and Clinical Algorithms (Plenary)-Reconsidering Race and Clinical Algorithms

Video Transcription

Video Summary

In this panel discussion, the speakers highlight the negative impact of using race in clinical algorithms in healthcare and call for a reevaluation of these practices. They discuss how race has been historically incorporated into algorithms based on outdated research and scientific racism. The need for evidence-based medicine is emphasized to ensure health equity. Collaboration among various stakeholders is seen as crucial for implementing change, including funders, publishers, medical societies, and researchers. Specific examples of clinical algorithms that have used race, such as diagnostic tests for kidney stones and urinary tract infections in children, are shared. The speakers highlight the need for a more nuanced approach, considering social determinants of health and experiences of racism. Efforts to eliminate race-based medicine and develop equitable algorithms in pediatrics are discussed, using urinary tract infections as a case study. The importance of testing and evaluating new approaches is emphasized. The panel underscores the need for continued research, collaboration, and advocacy to drive meaningful change. <br /><br />Dr. Joseph Wright emphasizes that race-based algorithms perpetuate systemic bias and disparities, calling for a scientifically sound evidence base for guidelines. Dr. David Jones argues against using race as a biological determinant, highlighting the historical roots of racial bias in medicine. Dr. Cindy Adams shares a personal experience illustrating the impact of race-based testing on medical outcomes and stresses the importance of educating healthcare professionals. The panel also discusses the challenges of addressing bias in algorithms and artificial intelligence, emphasizing transparency, better data sets, and a deliberate approach. In conclusion, the speakers emphasize the need to revise race-based policies and guidelines to address systemic bias and improve healthcare outcomes for all patients.

Asset Caption

Plenary Session

Keywords

race in clinical algorithms

negative impact

healthcare

reevaluation of practices

outdated research

scientific racism

evidence-based medicine

health equity

collaboration

stakeholders

clinical algorithms

kidney stones