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Establishing a Multicenter Active Adverse Events Following Immunization Sentinel Surveillance Network Across 22 Tertiary Care Hospitals in India: Protocol for a Prospective Observational Study

Establishing a Multicenter Active Adverse Events Following Immunization Sentinel Surveillance Network Across 22 Tertiary Care Hospitals in India: Protocol for a Prospective Observational Study

Group of Hospitals, Mumbai; GMC N: Government Medical College Nagpur; GMC T: Government Medical College, Thiruvananthapuram; H: Hospital; IGIMS P: Indira Gandhi Institute of Medical Sciences; IMS & SUM: Institute of Medical Sciences & Sum Hospital; IPGMS K: Institute Post-Graduate Medical Education and Research and Seth Sukhlal Karnani Memorial Hospital, Kolkata; KMC: Kasturba Medical College; LHMC: Lady Hardinge Medical College; MAMC: Maulana Azad Medical College; MP SHAH: Shri M. P.

Apoorva Sharan, Manoja Kumar Das, Akhil PM, Ramesh Poluru, Neeraj Kumar Kashyap, Christian Burri, Jan Bonhoeffer, Satinder Aneja, Deepak Polpakara, Narendra Kumar Arora, MAASS Study Group

JMIR Res Protoc 2025;14:e64050

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

Their method outperformed 3 baseline approaches, namely frequency-based, graph-based, and K-means centroid-based extractive summarization, demonstrating better content preservation and semantic alignment with the original notes. In the study by Alsentzer and Kim [38], they explored extractive summarization of discharge notes from the MIMIC-III database.

Mahshad Koohi Habibi Dehkordi, Yehoshua Perl, Fadi P Deek, Zhe He, Vipina K Keloth, Hao Liu, Gai Elhanan, Andrew J Einstein

JMIR Med Inform 2025;13:e66476