Improving patient safety by analyzing safety event reports
Transforming Patient Safety Event Data into Actionable Insights through Advanced Analytics
This study is working on new computer tools that can help hospitals understand safety reports better, so they can spot potential dangers and keep patients safe before any harm happens.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Medstar Health Research Institute NIH-funded |
| Lab location | 1 site (Hyattsville, United States) |
| Project ID | NIH-10633121 on NIH RePORTER |
What this research studies
This research aims to create advanced algorithms and software tools that will help classify and analyze safety event reports in healthcare settings. By using natural language processing, the project seeks to transform complex safety data into actionable insights that can identify potential hazards before they harm patients. The research involves collaboration with patient safety organizations and computer science experts to develop and pilot test these innovative tools in real-world settings.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients receiving care in hospitals where safety event reporting is utilized.
Not a fit: Patients who are not currently receiving care in hospital settings may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly enhance patient safety by enabling healthcare providers to proactively address safety hazards.
How similar studies have performed: Other research has shown success in using advanced analytics and natural language processing to improve patient safety outcomes, indicating that this approach has potential.
Where this research is happening
Hyattsville, United States
- Medstar Health Research Institute — Hyattsville, United States (Active)
Researchers
- Principal investigator: Ratwani, Raj M — Medstar Health Research Institute
- Study coordinator: Ratwani, Raj M
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.