Creating advanced models to analyze patient health records

Learning Universal Patient Representations with Hierarchical Transformers

['FUNDING_R01'] · BOSTON CHILDREN'S HOSPITAL · NIH-10929940

This study is working on making electronic health records easier to understand and use by doctors, so they can make better decisions about your care by using advanced technology to analyze all the information in your medical notes and records.

Quick facts

Phase['FUNDING_R01']
Study typeNih_funding
SexAll
SponsorBOSTON CHILDREN'S HOSPITAL (nih funded)
Locations1 site (BOSTON, UNITED STATES)
Trial IDNIH-10929940 on ClinicalTrials.gov

What this research studies

This research focuses on improving how electronic health records (EHRs) are analyzed to enhance clinical decision-making and research. By utilizing advanced neural network models known as pre-trained transformers, the project aims to better represent unstructured text data found in EHRs, such as clinical notes. The researchers will develop hierarchical models that can process longer texts and combine insights from various data types, including structured data and images, to improve patient classification and diagnosis. This innovative approach seeks to make EHR data more accessible and useful for healthcare providers.

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 conditions are not well-documented in such systems may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more accurate and timely diagnoses, ultimately improving patient care and outcomes.

How similar studies have performed: Other research has shown promise in using advanced machine learning techniques for analyzing health data, indicating that this approach could yield significant advancements.

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.

View on NIH RePORTER →

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.