Using electronic health records to identify complications after heart procedures
Official title: Automated ascertainment of bleeding and target lesion revascularization after percutaneous coronary intervention (PCI) using electronic health record (EHR) data
Funded at Yale University · NIH-11001500 · Data updated 2026-11-12
This study is working on a smart way to spot problems that can happen after a common heart procedure called PCI, using computer programs to look at health records, so that doctors can better keep you safe and provide the best care possible.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yale University NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project start | January 25, 2022 |
| Project end | December 31, 2026 |
| Funding year | 2025 |
| Award (this year) | $166,860 |
| NIH project number | 5K08HL157727-04 |
| Project ID | NIH-11001500 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients who have undergone percutaneous coronary intervention (PCI) and are being monitored for potential complications.
✕Less likely to help
Patients who have not undergone PCI or those with unrelated cardiac conditions may not benefit from this research.
What this research studies
This research focuses on improving the detection of complications that can occur after percutaneous coronary intervention (PCI), a common heart procedure. By developing automated algorithms that analyze electronic health record (EHR) data, the study aims to identify significant post-PCI events such as in-hospital bleeding and the need for further revascularization within a year. This approach seeks to reduce the burden of manual chart reviews and enhance the accuracy of complication reporting, ultimately improving patient safety and care quality. The research will utilize data from a large health system to validate these algorithms.
Why it matters
Potential benefit: If successful, this research could lead to more accurate monitoring of complications after heart procedures, improving patient outcomes and safety.
How similar studies have gone: Other research has shown success in using electronic health records for similar automated detection approaches, indicating a promising avenue for improving patient care.
Where this research is happening
-
Yale University
New Haven, United States Active
Researchers
- Principal investigator: Murugiah, Karthik — Yale University
- Study coordinator: Murugiah, Karthik
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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.