Data Collection and Reporting
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
Outcomes of Interest
Improve Data Infrastructure
Priority Population(s)
Setting(s) of Implementation
Geographic Area of Implementation
Implementation Period
2020