2022-05-09-埃森哲-Health_equity_under_the_microscope_2页_528kb

Health Equity and Analytics

Health inequity is a significant problem in the US, exacerbated by COVID-19, and addresses urgent needs for change at federal and state levels. Root causes involve hidden judgments in policies and processes, which analytics can help uncover. Equity-focused analytics can reveal disparities in healthcare access, such as in prior authorization decisions, where factors like race, ethnicity, or age may lead to unequal outcomes. This approach benefits from transparency, community involvement, and data-driven studies to test solutions and fine-tune policies for better health equity.

Benefits and Success Factors

• Analytics can identify unintended policy consequences and provide targeted views on inequity.
• Start with questions, not assumptions, using data from diverse sources to prompt further inquiry.
• Achieve greater transparency with staff to evaluate and implement equitable solutions.
• Identify and assess potential changes, such as improving access to care or financial investments.

The goal is to serve underserved communities, improve outcomes, and foster a just society through data analysis and action.