Improving Safety in Telemedicine Diagnoses
Developing e-Triggers to Detect Telemedicine Related Diagnostic Safety Events
This project aims to find better ways to spot and prevent mistakes in diagnoses made during telemedicine visits, helping to make your virtual care safer.
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-11098737 on NIH RePORTER |
What this research studies
Telemedicine offers many benefits, but making an accurate diagnosis remotely can be tricky. We don't yet fully understand how telemedicine affects the accuracy and timeliness of diagnoses, or how well these diagnoses are communicated to patients. This work will first talk to healthcare providers to understand what causes errors in telemedicine diagnoses and what clues might signal a problem. Then, we will use this information to create special electronic tools, called e-triggers, that can scan large amounts of patient data to quickly identify potential diagnostic errors in telemedicine.
Who could benefit from this research
Good fit: This work is not directly recruiting patients but aims to improve diagnostic safety for anyone who receives medical care through telemedicine.
Not a fit: Patients who do not use telemedicine services for their medical care would not directly benefit from this particular improvement in virtual care safety.
Why it matters
Potential benefit: If successful, this work could lead to new tools and strategies that significantly reduce diagnostic errors in telemedicine, making virtual healthcare safer and more reliable for patients.
How similar studies have performed: While diagnostic errors are a known challenge in healthcare, developing specific electronic triggers for telemedicine-related diagnostic errors is a relatively new and important area of focus.
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.