Despite America being known for its diverse population, healthcare highlights significant issues in diversity. Racial disparities have become the norm due to limited evidence, with only 14% of medical decisions based on high-quality evidence. Women, minorities, and rural communities are underrepresented in clinical trials and research. Lack of data leads to stereotypes, biases, and inadequate treatments, impacting patient outcomes. Advancements in AI and real-world evidence generation offer hope for more personalized medicine and improved patient care. Companies must reevaluate their approach to data and evidence to bridge these gaps, ensuring evidence-based care for all patients, regardless of race, gender, or location.
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How AI Can Close the Gap in Evidence-Based Care
