Using advanced algorithms to analyze patient health records for better treatment decisions

Developing scalable algorithms to incorporate unstructured electronic health records for causal inference based on real-world data

NIH-funded research Brigham and Women's Hospital · NIH-10808997

This study is working on better ways to understand your electronic health records so that doctors can make smarter treatment decisions for you by using all the important information in your medical notes.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionBrigham and Women's Hospital NIH-funded
Lab location1 site (Boston, United States)
Project IDNIH-10808997 on NIH RePORTER

What this research studies

This research focuses on improving how we analyze electronic health records (EHRs) to enhance patient care. By developing algorithms that can process unstructured data, such as clinical notes, the project aims to extract valuable insights that can inform treatment choices. The methodology involves refining natural language processing techniques to ensure that the rich information contained in EHRs is utilized effectively. This approach seeks to reduce bias in data analysis and improve the accuracy of patient outcomes.

Who could benefit from this research

Good fit: Ideal candidates for this research are patients whose health information is documented in electronic health records, particularly those with complex medical histories.

Not a fit: Patients without electronic health records or those whose data is not captured in a structured format may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more personalized and effective treatment options for patients based on real-world data.

How similar studies have performed: Previous research has shown success in utilizing similar data analysis techniques, indicating a promising potential for this approach.

Where this research is happening

Boston, 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.
Last reviewed 2026-06-13 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.