A recent report, “Fairness in Precision Medicine,” suggests bias in medicine research can be found in datasets and outcomes.
The report was condcuted by Kadija Ferryman and Mikaela Pitcan with the support of the Robert Wood Johnson Foundation.
According to an American Journal of Managed Care report, the research aimed to better understand the potential impact bias could have on biomedical research into precision medicine.
The report involved 21 interviews with biomedical researchers, bioethicists, technologists and patient advocates.
Respondents said datasets could become biased in a number of contexts, including:
- Genetic Data;
- Electronic health records;
- Diversity in participants and data types;
- Historical bias; and
- Analytical bias.
To read more on the report by Ferryman and Pitcan, click here.
