挖掘大数据以指导政策并提高健康公平性

Mining large data to guide policy and improve health equityMARCELA HORVITZ-LENNON MD MPHSENIOR PHYSICIAN SCIENTIST, RAND CORPORATIONASSOCIATE PROFESSOR OF PSYCHIATRY (PART-TIME), HARVARD MEDICAL SCHOOLSENIOR SCIENTIST, HEALTH EQUITY RESEARCH LAB, CAMBRIDGE HEALTH ALLIANCE5th National Big Data Health Science Conference, Columbia SC, February 3, 2024OutlineDefining and understanding health equity ◦Words and concepts◦The role of public policy ◦Inequities in mental health and mental health careBig data – an opportunity to identify and address inequities that carries risks◦Bias in AI and why it matters for equity◦What it takes to do impactful health equity research2024MINING LARGE DATA TO GUIDE POLICY AND IMPROVE EQUITY2Defining and Understanding Health Equity2024MINING LARGE DATA TO GUIDE POLICY AND IMPROVE EQUITY3Words and concepts2024MINING LARGE DATA TO GUIDE POLICY AND IMPROVE EQUITY4Health Equity – influential definitions2024MINING LARGE DATA TO GUIDE POLICY AND IMPROVE EQUITY5Bravema