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Assessing Revisit Risk in Emergency Department Patients: Machine Learning Approach

Wang-Chuan Juang, Zheng-Xun Cai, Chia-Mei Chen, Zhi-Hong You

JMIR AI 2025;4:e74053

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Leveraging Interoperable Electronic Health Record (EHR) Data for Distributed Analyses in Clinical Research: Technical Implementation Report of the HELP Study

Julia Palm, Kutaiba Saleh, André Scherag, Danny Ammon

JMIR Med Inform 2025;13:e68171

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Designing Clinical Decision Support Systems (CDSS)—A User-Centered Lens of the Design Characteristics, Challenges, and Implications: Systematic Review

Andrew A Bayor, Jane Li, Ian A Yang, Marlien Varnfield

J Med Internet Res 2025;27:e63733

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Evaluation of Diagnostic Recommendations Embedded in Medication Alerts: Prospective Single-Arm Interventional Study

Yu-Chen Liu, Guan-Ling Lin, Jeremiah Scholl, Yi-Chun Hung, Yu-Jing Lin, Yu-Chuan Li, Hsuan-Chia Yang

J Med Internet Res 2025;27:e70731

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Optimizing Clinical Decision Support System Functionality by Leveraging Specific Human-Computer Interaction Elements: Insights From a Systematic Review

Ali Azadi, Francisco José García-Peñalvo

JMIR Hum Factors 2025;12:e69333

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Pharmaceutical Analysis of Inpatient Prescriptions: Systematic Observation of Hospital Pharmacists’ Practices in the Early User-Centered Design Phase

Jesse Butruille, Natalina Cirnat, Mariem Alaoui, Jérôme Saracco, Etienne Cousein, Noémie Chaniaud

JMIR Hum Factors 2025;12:e65959

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Expectations of Intensive Care Physicians Regarding an AI-Based Decision Support System for Weaning From Continuous Renal Replacement Therapy: Predevelopment Survey Study

Benjamin Popoff, Sandie Cabon, Marc Cuggia, Guillaume Bouzillé, Thomas Clavier

JMIR Med Inform 2025;13:e63709

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Peer Review of “Predicting Escalation of Care for Childhood Pneumonia Using Machine Learning: Retrospective Analysis and Model Development”

Anonymous

JMIRx Med 2025;6:e71369

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Peer Review of “Predicting Escalation of Care for Childhood Pneumonia Using Machine Learning: Retrospective Analysis and Model Development”

Colin Rogerson

JMIRx Med 2025;6:e71100

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Authors’ Response to Peer Reviews of “Predicting Escalation of Care for Childhood Pneumonia Using Machine Learning: Retrospective Analysis and Model Development”

Oguzhan Serin, Izzet Turkalp Akbasli, Sena Bocutcu Cetin, Busra Koseoglu, Ahmet Fatih Deveci, Muhsin Zahid Ugur, Yasemin Ozsurekci

JMIRx Med 2025;6:e71098

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