This paper is in the following e-collection/theme issue:

Natural Language Processing (886) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (688) Electronic Health Records (1291) Human Factors and Usability Case Studies (975) Generative Language Models Including ChatGPT (659) AI Language Models in Health Care (180)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66476, first published .
Improving Large Language Models’ Summarization Accuracy by Adding Highlights to Discharge Notes: Comparative Evaluation

Improving Large Language Models’ Summarization Accuracy by Adding Highlights to Discharge Notes: Comparative Evaluation

Improving Large Language Models’ Summarization Accuracy by Adding Highlights to Discharge Notes: Comparative Evaluation

Authors of this article:

Mahshad Koohi Habibi Dehkordi1 Author Orcid Image ;   Yehoshua Perl1 Author Orcid Image ;   Fadi P Deek2 Author Orcid Image ;   Zhe He3 Author Orcid Image ;   Vipina K Keloth4 Author Orcid Image ;   Hao Liu5 Author Orcid Image ;   Gai Elhanan6 Author Orcid Image ;   Andrew J Einstein7 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Mahshad Koohi Habibi Dehkordi   1 , MSc ;   Yehoshua Perl   1 , PhD ;   Fadi P Deek   2 , PhD ;   Zhe He   3 , PhD ;   Vipina K Keloth   4 , PhD ;   Hao Liu   5 , PhD ;   Gai Elhanan   6 , MD ;   Andrew J Einstein   7 , MD, PhD

1 Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, United States

2 Department of Informatics, New Jersey Institute of Technology, Newark, NJ, United States

3 School of Information, Florida State University, Tallahassee, FL, United States

4 Department of Medical Informatics, Yale University, New Haven, CT, United States

5 Department of Computer Science, Montclair State University, Montclair, NJ, United States

6 School of Medicine, University of Nevada, Reno, NV, United States

7 Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States

Corresponding Author:

  • Mahshad Koohi Habibi Dehkordi, MSc
  • Department of Computer Science
  • New Jersey Institute of Technology
  • Ying Wu College of Computing, NJIT, 323 Martin Luther King Jr. Blvd
  • Apt 1
  • Newark, NJ 07102
  • United States
  • Phone: 1 973-596-3000
  • Email: mk985@njit.edu