Improving data annotation for biomedical research using LOINC terminology
Computational LOINC to Support Biomedical Research at Scale
This study is working on making lab test information easier to understand and use by connecting it better with other medical terms, which will help researchers and doctors analyze data more effectively for better patient care.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Johns Hopkins University NIH-funded |
| Lab location | 1 site (Baltimore, United States) |
| Project ID | NIH-10837892 on NIH RePORTER |
What this research studies
This research focuses on enhancing the way clinical laboratory data is annotated using the Logical Observation Identifiers Names and Codes (LOINC) standard. By developing a more dynamic and interconnected system of annotations, the project aims to improve data science analytics in biomedical research. The methodology involves creating relationships between LOINC codes and other relevant terminologies, which will allow for better reasoning and inference across various datasets. This approach is expected to facilitate more effective data collection and analysis in clinical settings.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals involved in or affected by conditions that require extensive clinical data analysis, particularly those related to blood sugar and glucose monitoring.
Not a fit: Patients who do not have conditions requiring detailed clinical data analysis or who are not engaged in biomedical research may not receive direct benefits from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and efficient data analysis in biomedical research, ultimately improving patient care and outcomes.
How similar studies have performed: Other research has shown success in improving data annotation and interoperability in biomedical contexts, indicating that this approach has potential for significant advancements.
Where this research is happening
Baltimore, United States
- Johns Hopkins University — Baltimore, United States (Active)
Researchers
- Principal investigator: Chute, Christopher G — Johns Hopkins University
- Study coordinator: Chute, Christopher G
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.