Health-care AI is here. We don't know if it helps patients
7 hours ago
- #health outcomes
- #AI in healthcare
- #clinical evaluation
- AI tools are increasingly being used in health-care settings, such as for note-taking, analyzing patient records, interpreting medical exams, and predicting health trajectories.
- Many AI tools show accuracy in studies, but there's insufficient evidence on whether they actually improve patient health outcomes or clinical decision-making.
- Providers often adopt AI tools (like ambient AI scribes) without rigorous evaluation of their effectiveness, impact on workflows, or potential unintended consequences.
- Research indicates that only a fraction of hospitals using AI-assisted predictive tools assess their accuracy or bias, raising concerns about oversight.
- Experts stress the need for more evaluation of AI tools in specific health-care contexts to ensure they benefit patients and don't worsen outcomes.
- While AI holds potential to improve clinical care, its adoption should be balanced with thorough assessment of its effects on providers and patients.