Using AI to improve data extraction from clinical notes in infectious diseases
SBIR TOPIC 135:Applying Large Language Models for Automated Entity Recognition, Relation Extraction/Ontology Metadata Enrichment from Free-Text Clinical Notes in Infectious/Immune-Mediated Diseases
This study is working on smart computer programs that can quickly organize important information from doctors' notes about infections and immune diseases, making it easier for researchers to use this data and improve medical research.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | John Snow Labs INC NIH-funded |
| Lab location | 1 site (Lewes, United States) |
| Project ID | NIH-11214907 on NIH RePORTER |
What this research studies
This research focuses on developing advanced AI models to automate the extraction and standardization of metadata from unstructured clinical notes related to infectious and immune-mediated diseases. By leveraging state-of-the-art Natural Language Processing technology, the project aims to create efficient and accurate systems that can transform complex clinical data into structured formats. This will significantly reduce the time and expertise currently required for data management, making it easier for researchers to access and utilize important biomedical information. The ultimate goal is to enhance data sharing and improve the overall quality of biomedical research.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals affected by infectious or immune-mediated diseases whose clinical data can be utilized for metadata enrichment.
Not a fit: Patients with conditions unrelated to infectious or immune-mediated diseases may not receive any direct benefit from this research.
Why it matters
Potential benefit: If successful, this research could greatly enhance the efficiency and accuracy of biomedical data management, leading to improved research outcomes in infectious and immune-mediated diseases.
How similar studies have performed: Other research has shown success in utilizing AI and Natural Language Processing for data extraction in clinical settings, indicating a promising approach for this project.
Where this research is happening
Lewes, United States
- John Snow Labs INC — Lewes, United States (Active)
Researchers
- Principal investigator: Ul Haq, Hasham — John Snow Labs INC
- Study coordinator: Ul Haq, Hasham
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.