Data Science Health Research
Cross-source consensus on Data Science Health Research from 1 sources and 4 claims.
1 sources · 4 claims
Uses
How it works
Risks & contraindications
Highlighted claims
- Data science health research uses computational algorithms and high-performance computing to handle large volumes of health-related data. — Protocol for a modified Delphi study of ethical oversight of data science health research (DSHR)
- The pace of DSHR has outstripped the ethical oversight frameworks intended to govern it. — Protocol for a modified Delphi study of ethical oversight of data science health research (DSHR)
- DSHR raises ethical challenges involving consent, re-identification, bias, commercial ownership, data colonisation, benefit-sharing, and cross-border data environments. — Protocol for a modified Delphi study of ethical oversight of data science health research (DSHR)
- The study aims to balance the benefits of DSHR with equitable protections for participants and communities. — Protocol for a modified Delphi study of ethical oversight of data science health research (DSHR)