"Precision medicine" is a growing field that aims to use multiple data sources to tailor medical care to individuals. From incorporating genetic information to using data from electronic medical records, precision medicine has the potential to transform healthcare and medical research. Precision medicine has strong support in multiple sectors, including the government’s $215 million dollar Precision Medicine Initiative, as well as industry-led efforts to collect and analyze volumes of health data.
02.26.18 | report | Kadija Ferryman and Mikaela Pitcan
Fairness in Precision Medicine is the first report to deeply examine the potential for biased and discriminatory outcomes in the emerging field of precision medicine; “the effort to collect, integrate and analyze multiple sources of data in order to develop individualized insights about health and disease.”
This project aims to move past the rhetorics of promise in precision medicine to critically assess the potential for bias and discrimination in health data collection, sharing, and interpretation. To that end, this project will map the network of stakeholders in precision medicine, including researchers, health care providers, clinicians, and data analysts. The project will also identify vulnerabilities in the ecosystem that could lead to discriminatory outcomes, whether they might emerge as a by-product of implicit and explicit values, data quality, algorithmic models, or organizational decision-making.
The Fairness in Precision Medicine project will develop a framework for understanding trade-offs involved in precision medicine, and will raise challenges that may trigger conflicting commitments. The goal is to articulate salient gaps and blind spots in order to guide precision medicine initiatives at a critical time in their development.