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The Benefits of Integrating Electronic Medical Record Systems Between Primary and Specialist Care Institutions: Mixed Methods Cohort Study

The Benefits of Integrating Electronic Medical Record Systems Between Primary and Specialist Care Institutions: Mixed Methods Cohort Study

This is reflected by a specialist clinic staff who said, “Efficiency increased and productivity (of referrals) increased, because (we) don’t need to toggle between multiple applications to handle one referral.”

Kim Huat Goh, Adrian Yong Kwang Yeow, Le Wang, Hermione Poh, Hannah Jia Hui Ng, Gamaliel Tan, Soon Khai Wee, Er Luen Lim, Jared Louis Andre D’Souza

J Med Internet Res 2025;27:e49363

Improving Systematic Review Updates With Natural Language Processing Through Abstract Component Classification and Selection: Algorithm Development and Validation

Improving Systematic Review Updates With Natural Language Processing Through Abstract Component Classification and Selection: Algorithm Development and Validation

To focus on the most promising approaches while maintaining computational efficiency, we selected 10 datasets corresponding to the top 10 performing models from Experiment 1. This focused approach was selected to specifically examine whether the advantages observed with manual classification could be maintained when transitioning to an automated system; a key consideration for practical implementation.

Tatsuki Hasegawa, Hayato Kizaki, Keisho Ikegami, Shungo Imai, Yuki Yanagisawa, Shuntaro Yada, Eiji Aramaki, Satoko Hori

JMIR Med Inform 2025;13:e65371

Synthetic Data-Driven Approaches for Chinese Medical Abstract Sentence Classification: Computational Study

Synthetic Data-Driven Approaches for Chinese Medical Abstract Sentence Classification: Computational Study

The results, presented in Table 5, clearly demonstrate that the SBERT-Doc SCAN method, when fine-tuned with SBERT, outperforms others in terms of efficiency. Furthermore, within the supervised learning category, the SBERT-MEC model equipped with the DC module surpassed those lacking this module, underlining the value of the DC module in enhancing model performance.

Jiajia Li, Zikai Wang, Longxuan Yu, Hui Liu, Haitao Song

JMIR Form Res 2025;9:e54803

GPT-3.5 Turbo and GPT-4 Turbo in Title and Abstract Screening for Systematic Reviews

GPT-3.5 Turbo and GPT-4 Turbo in Title and Abstract Screening for Systematic Reviews

Although more advanced LLMs are expected to outperform previous models in sensitivity, specificity, and efficiency [9], the full impact of model development in citation screening remains to be fully understood. This study aimed to compare accuracy and efficiency between GPT-3.5 Turbo and GPT-4 Turbo (Open AI)—widely used LLMs in the medical field—in title and abstract screening.

Takehiko Oami, Yohei Okada, Taka-aki Nakada

JMIR Med Inform 2025;13:e64682

Assessment of the Efficiency of a ChatGPT-Based Tool, MyGenAssist, in an Industry Pharmacovigilance Department for Case Documentation: Cross-Over Study

Assessment of the Efficiency of a ChatGPT-Based Tool, MyGenAssist, in an Industry Pharmacovigilance Department for Case Documentation: Cross-Over Study

Therefore, the use of Bayer’s LLM improved the efficiency of this activity. That must save dozens of hours yearly for our local pharmacovigilance team, which could be dedicated to other activities with higher added value. A unique, short, and reachable training was sufficient to implement the use of My Gen Assist. This consisted of introducing the changes in the tool’s operating mode to the users.

Alexandre Benaïche, Ingrid Billaut-Laden, Herivelo Randriamihaja, Jean-Philippe Bertocchio

J Med Internet Res 2025;27:e65651

Exploring Stakeholder Perspectives on the Barriers and Facilitators of Implementing Digital Technologies for Heart Disease Diagnosis: Qualitative Study

Exploring Stakeholder Perspectives on the Barriers and Facilitators of Implementing Digital Technologies for Heart Disease Diagnosis: Qualitative Study

Therefore, more work is needed to provide stakeholder-led insights into specific barriers to target and facilitators to consider in the early stages of novel technology development, to improve engagement with, and thus the efficacy of, novel digital health technologies aiming to improve the accuracy and efficiency of heart disease diagnosis.

Kamilla Abdullayev, Tim J A Chico, Jiana Canson, Matthew Mantelow, Oli Buckley, Joan Condell, Richard J Van Arkel, Vanessa Diaz-Zuccarini, Faith Matcham

JMIR Cardio 2025;9:e66464

On the Necessity of Multidisciplinarity in the Development of at-Home Health Monitoring Platforms for Older Adults: Systematic Review

On the Necessity of Multidisciplinarity in the Development of at-Home Health Monitoring Platforms for Older Adults: Systematic Review

In response to this growing crisis, one solution researchers have sought to apply is the use of novel health monitoring technologies to tackle the problem of labor shortages in health care systems and to improve productivity and efficiency in care [2-11].

Chris Lochhead, Robert B Fisher

JMIR Hum Factors 2025;12:e59458