# Resource Curation and Evaluation for EHR Note Comprehension

> **NIH NIH R01** · UNIVERSITY OF MASSACHUSETTS LOWELL · 2020 · $335,875

## Abstract

Title: Resource Curation and Evaluation for EHR Note Comprehension
The American Diabetes Association estimates that over 25.8 million Americans have diabetes. Proper patient
self-management is perhaps the most critical and under-exercised element for patients to achieve appropriate
glycemic control and thus mitigate complications and comorbid conditions, and implement appropriate
preventive strategies (e.g., vaccines, exercise, healthy diet). In previous work we have shown that educating
patients by using content in their medical records improved diabetes outcomes and that NoteAid, a multi-
module natural language processing system that links medical jargon in electronic health records to definitions,
has improved self-reported comprehension. Here we propose to develop NoteAid with a high-quality resource
of expert-curated lay definitions and evaluation methods for diabetes patients’ note comprehension.
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## Key facts

- **NIH application ID:** 9925807
- **Project number:** 5R01LM012817-03
- **Recipient organization:** UNIVERSITY OF MASSACHUSETTS LOWELL
- **Principal Investigator:** HONG YU
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $335,875
- **Award type:** 5
- **Project period:** 2018-09-26 → 2022-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9925807

## Citation

> US National Institutes of Health, RePORTER application 9925807, Resource Curation and Evaluation for EHR Note Comprehension (5R01LM012817-03). Retrieved via AI Analytics 2026-06-14 from https://api.ai-analytics.org/grant/nih/9925807. Licensed CC0.

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