e.g. mhealth
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Skip search results from other journals and go to results- 13 JMIR Medical Informatics
- 9 Journal of Medical Internet Research
- 6 JMIR Formative Research
- 3 JMIR Public Health and Surveillance
- 2 Interactive Journal of Medical Research
- 2 JMIR AI
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- 1 JMIR mHealth and uHealth
- 1 Online Journal of Public Health Informatics
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AI: artificial intelligence; BURN-AID: Burn Diagnosis with Artificial Intelligence; EMR: electronic medical record; TDI: tissue Doppler imaging.
The method integrates digital photographs and ultrasound tissue Doppler imaging (TDI) data stored within an electronic medical record (EMR) system. The initial phase of burn assessment uses digital photographs of the burn wound. These images are processed to rapidly classify burns as first degree or second degree [6].
JMIR Med Inform 2025;13:e68366
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The increased use of electronic medical record (EMR) systems has produced vast volumes of structured and unstructured health care data, offering opportunities for early intervention using machine learning (ML) models that identify individuals at risk of maternal morbidity and mortality [15,16].
J Med Internet Res 2025;27:e68225
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Epic Systems is the most widely used electronic medical record (EMR) system globally [3] and was ranked as the number one EMR system in the United States for the 13th consecutive year in 2023 [4]. The adoption of EMRs, including Epic, is mandatory in Singapore’s public health care institutions to establish standardization, data interoperability, and enhanced patient safety [5].
JMIR Form Res 2025;9:e68491
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The absence of a standardized EMR template further complicates the documentation of family engagement, limiting our understanding of how it affects patient outcomes in both acute care and the transition from acute care [17].
Retrospective chart review (RCR) is an effective methodology for investigating clinical practices, such as the current standard for documenting family engagement in medical records.
JMIR Form Res 2025;9:e66549
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Between 28% and 64% of the analysis time, the EMR is in the majority, representing around 40% of all activities performed during this period. The proportion of “biology results” remains fairly constant, as do “pharmacy logistics,” “other information,” and “alerts from prescriptions.” Pharmaceutical interventions and drug information are poorly represented at the outset but increase to reach a peak of around 82% of analysis time.
JMIR Hum Factors 2025;12:e65959
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This study explored the potential of RPA in complex EMR systems with its role as “a canary in a coal mine” [11], presenting generalizable findings from a 3-year project at Seoul National University Bundang Hospital (SNUBH).
The paper posits RPA as a means to bridge the gap between the limitations of both component-level system monitoring and application-level monitoring.
JMIR Med Inform 2025;13:e59801
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Following a patient visit, physicians document their note in an EMR often in the SOAP (subjective, objective, assessment, plan) format. To submit an invoice, physicians must select 1 or more diagnostic codes and 1 or more billing codes. Invoices are compiled electronically in the EMR, reviewed by FHT billing personnel, and subsequently submitted to the provincial health insurance plan for payment every month.
JMIR AI 2025;4:e64279
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