Using patient data to improve risk prediction for chronic diseases
Big Data Methods for Comprehensive Similarity based Risk Prediction
['FUNDING_R01'] · COLUMBIA UNIVERSITY HEALTH SCIENCES · NIH-10551349
This study is looking at how to use electronic health records to help doctors make better decisions by comparing patients' information, like their backgrounds and health histories, so they can better predict risks for chronic diseases and provide more personalized care.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | COLUMBIA UNIVERSITY HEALTH SCIENCES (nih funded) |
| Locations | 1 site (NEW YORK, UNITED STATES) |
| Trial ID | NIH-10551349 on ClinicalTrials.gov |
What this research studies
This research investigates how to utilize electronic health records (EHR) to enhance clinical decision-making by developing a comprehensive score of patient similarity. It aims to analyze various patient characteristics, including demographics, genetics, clinical phenotypes, treatments, and environmental exposures, to better predict risks associated with chronic diseases. By creating an open-source data preparation pipeline, the project seeks to optimize the integration of diverse patient data for improved risk assessment. This approach could lead to more personalized and effective healthcare strategies for patients with chronic conditions.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals with chronic diseases, particularly those with chronic kidney failure or chronic renal disease.
Not a fit: Patients with acute conditions or those not represented in electronic health records may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate risk predictions and tailored treatment plans for patients with chronic diseases.
How similar studies have performed: Other research has shown promise in using big data and patient similarity approaches for improving clinical outcomes, indicating that this methodology has potential for success.
Where this research is happening
NEW YORK, UNITED STATES
- COLUMBIA UNIVERSITY HEALTH SCIENCES — NEW YORK, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: WANG, SHUANG — COLUMBIA UNIVERSITY HEALTH SCIENCES
- Study coordinator: WANG, SHUANG
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.
Conditions: Chronic Disease, chronic disorder