Creating tools to identify diagnostic errors in telemedicine
Developing e-Triggers to Detect Telemedicine Related Diagnostic Safety Events
This study is looking to make online doctor visits safer and more accurate by figuring out what can go wrong with diagnoses and creating helpful tools to catch any mistakes, so you can get the right health information when you need it.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Baylor College of Medicine NIH-funded |
| Lab location | 1 site (Houston, United States) |
| Project ID | NIH-10873233 on NIH RePORTER |
What this research studies
This research aims to improve the accuracy of diagnoses made through telemedicine by identifying factors that contribute to diagnostic errors. The team will first gather insights from healthcare professionals to understand the risks associated with telemedicine diagnoses. Using this information, they will develop electronic triggers, or e-triggers, which are tools designed to analyze clinical and administrative data to detect potential diagnostic errors. This approach seeks to enhance patient safety and ensure that patients receive timely and accurate health information during remote consultations.
Who could benefit from this research
Good fit: Ideal candidates for this research include patients who have utilized telemedicine services for their healthcare needs.
Not a fit: Patients who have not engaged in telemedicine or those with conditions that do not involve remote diagnosis may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly reduce the occurrence of diagnostic errors in telemedicine, leading to better patient outcomes.
How similar studies have performed: While the approach of using electronic triggers for identifying diagnostic errors is innovative, similar methodologies have shown promise in other areas of healthcare, suggesting potential for success.
Where this research is happening
Houston, United States
- Baylor College of Medicine — Houston, United States (Active)
Researchers
- Principal investigator: Murphy, Daniel R — Baylor College of Medicine
- Study coordinator: Murphy, Daniel R
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.