Improving the accuracy of health data coding
Improving health data quality by assessing and enhancing semantic integrity
This study is looking at how changes in medical coding can affect the way your health information is understood, and it's working on new ways to make sure that your electronic health records are accurate and reliable for better patient care.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | George Washington University NIH-funded |
| Lab location | 1 site (Washington, United States) |
| Project ID | NIH-11087625 on NIH RePORTER |
What this research studies
This research focuses on enhancing the quality of health data by examining how medical coding terminologies evolve over time and how these changes can affect patient data interpretation. It aims to develop automated methods to assess and improve the semantic integrity of electronic health records (EHR) by analyzing the patterns and contexts of various coding systems like ICD-9CM and ICD-10CM. By addressing discrepancies in coding, the research seeks to ensure that patient cohorts are accurately identified and that analyses based on these codes yield reliable results.
Who could benefit from this research
Good fit: Ideal candidates for benefiting from this research include patients whose health data is recorded in electronic health records that utilize various coding systems.
Not a fit: Patients whose health data is not captured in electronic health records or who are not represented by the coding systems being analyzed may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate health data, improving patient care and outcomes by ensuring that medical records reflect true patient conditions.
How similar studies have performed: While the approach of improving semantic integrity in health data is innovative, similar efforts in enhancing data quality in electronic health records have shown promise in other research contexts.
Where this research is happening
Washington, United States
- George Washington University — Washington, United States (Active)
Researchers
- Principal investigator: Zeng, Qing — George Washington University
- Study coordinator: Zeng, Qing
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.