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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

Evaluation of a Virtual Home Health Heart Failure Program: Mixed Methods Study

Evaluation of a Virtual Home Health Heart Failure Program: Mixed Methods Study

From June 1, 2022, to November 30, 2022, a total of 55 patients were enrolled into the VHHHFP across 3 Australian hospital sites. Data for 5 patients were not reported in line with the ethical approval granted: 3 patients died during the intensive phase of the program, and 2 died during the data collection period following completion of the intensive phase of the program. In addition, 1 patient who enrolled but did not complete any questionnaire or biometric information was excluded.

Nilufeur McKay, Rosemary Saunders, Helene Metcalfe, Sue Robinson, Peter Palamara, Kellie Steer, Jeannie Yoo, Miles Ranogajec, Lisa Whitehead, Beverley Ewens

JMIR Cardio 2025;9:e64877

Exploring the Barriers and Facilitators to Implementing a Smartphone App for Physicians to Improve the Management of Acute Myocardial Infarctions: Multicenter, Mixed Methods, Observational Study

Exploring the Barriers and Facilitators to Implementing a Smartphone App for Physicians to Improve the Management of Acute Myocardial Infarctions: Multicenter, Mixed Methods, Observational Study

Between the period of June and August 2021, senior leaders of each survey group sent out survey requests to physicians and EMS paramedic staff, with response rates varying among each of the stakeholder groups sampled. Of the 10 ICs at the Hamilton General Hospital, 9 (90%) completed the survey. Of the 223 invited EM physicians, 51 (22.9%) completed the survey, and 93 (8.2%) of the 1138 invited EMS paramedics completed the survey.

Katelyn J Cullen, Hassan Mir, Madhu K Natarajan, Marija Corovic, Karen Mosleh, Jacob Crawshaw, Mathew Mercuri, Hassan Masoom, JD Schwalm

JMIR Mhealth Uhealth 2025;13:e60173