Big Data Analytics and the Struggle for Equity in Health Care: The Promise and Perils

The paper explores ways to mitigate potential sources of bias and inequity in big data by designing algorithmic decision-making approaches that explicitly account and correct for these biases for minority groups. It proposes a multifaceted interdisciplinary approach to using big data analytics in health care that combines insights from data scientists and domain experts.

Resource Details

• Topics of Practice: Data Collection and Analysis
• Outcomes of Interest: Improve Data Infrastructure
• Level of Evidence: Emerging
• Tools or Materials Included in Resource: No
• Social Determinants of Health: Healthcare Access and Quality
• Outside of US: No