Improving accuracy in health data analysis for diabetes research

PheBC: bias correction methods for EHR derived phenotype

['FUNDING_R01'] · UNIVERSITY OF PENNSYLVANIA · NIH-10840905

This study is working on improving the quality of health information from electronic records to make sure that research about conditions like Type 2 diabetes is more accurate and reliable, so that doctors can provide better care for patients.

Quick facts

Phase['FUNDING_R01']
Study typeNih_funding
SexAll
SponsorUNIVERSITY OF PENNSYLVANIA (nih funded)
Locations1 site (PHILADELPHIA, UNITED STATES)
Trial IDNIH-10840905 on ClinicalTrials.gov

What this research studies

This research aims to enhance the accuracy and reliability of health data derived from electronic health records (EHR) by developing advanced statistical methods. It focuses on correcting biases in data that can affect research outcomes, particularly for conditions like Type 2 diabetes. The team will collaborate with statisticians, medical informaticians, and clinicians to create algorithms that improve the quality of health data analysis. By validating these methods across multiple datasets, the research seeks to ensure that findings are reproducible and applicable in clinical settings.

Who could benefit from this research

Good fit: Ideal candidates for this research are individuals diagnosed with Type 2 diabetes who are receiving care within health systems that utilize electronic health records.

Not a fit: Patients with conditions outside of Type 2 diabetes or those not involved in health systems using EHR may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more accurate diagnoses and treatment strategies for patients with Type 2 diabetes.

How similar studies have performed: Other research has shown success in improving data accuracy through similar bias correction methods, indicating a promising approach.

Where this research is happening

PHILADELPHIA, UNITED STATES

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.

View on NIH RePORTER →

Conditions: Adult-Onset Diabetes Mellitus, Ketosis-Resistant Diabetes Mellitus, Maturity-Onset Diabetes Mellitus, Non-Insulin Dependent Diabetes, Noninsulin Dependent Diabetes

Last reviewed 2026-05-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.