Improving risk prediction models for high-risk patients using electronic health records
Addressing Algorithmic Unreliability and Dataset Shift in EHR-based Risk Prediction Models
['FUNDING_FELLOWSHIP'] · UNIVERSITY OF PENNSYLVANIA · NIH-11092330
This study is working on improving computer programs that use health records to find patients with advanced cancers who might be at higher risk, especially by looking at how changes in healthcare during the COVID-19 pandemic affect these predictions, so that patients can get better care tailored to their needs.
Quick facts
| Phase | ['FUNDING_FELLOWSHIP'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF PENNSYLVANIA (nih funded) |
| Locations | 1 site (PHILADELPHIA, UNITED STATES) |
| Trial ID | NIH-11092330 on ClinicalTrials.gov |
What this research studies
This research focuses on enhancing predictive algorithms that utilize electronic health record (EHR) data to identify high-risk patients, particularly those with advanced cancers. It addresses the issue of dataset shift, where changes in patient data over time can lead to inaccurate predictions. By analyzing how shifts in healthcare practices, especially during the COVID-19 pandemic, affect these algorithms, the research aims to develop more reliable models for clinical decision-making. Patients may benefit from improved risk assessments that lead to better-targeted care and resource allocation.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients with advanced cancers who are being monitored through electronic health records.
Not a fit: Patients with stable, non-complex conditions or those not utilizing 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 for patients, ensuring they receive timely and appropriate care.
How similar studies have performed: Previous research has shown that addressing dataset shift can significantly improve the performance of predictive models in healthcare settings.
Where this research is happening
PHILADELPHIA, UNITED STATES
- UNIVERSITY OF PENNSYLVANIA — PHILADELPHIA, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: KOLLA, LIKHITHA — UNIVERSITY OF PENNSYLVANIA
- Study coordinator: KOLLA, LIKHITHA
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: Advanced Cancer