e.g. mhealth
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Specifically, we examined the impact of training with the Voice Adapt app on language and communication outcomes in individuals with chronic aphasia. Primary outcomes were naming ability, and secondary outcomes included measures of overall language, communication effectiveness, and quality of life.
JMIR Mhealth Uhealth 2025;13:e67711
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Minority patients have reported poor patient-centered communication (eg, respecting and responding to patients’ wants, needs, and preferences), which can influence assessments, recommendations, and outcomes [15].
JMIR Res Protoc 2025;14:e66086
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Frameworks for medical communication are widely accepted and taught, with a consensus on “best practice” for high-quality communication [18]. Ideal automation would ensure that standards for communication were consistently met, and such a tool would invariably be helpful to PCPs while maintaining or enhancing patient care. However, no prior studies have applied a medical communication framework to systematically evaluate Gen AI draft quality or the consistency of its quality.
JMIR Form Res 2025;9:e71966
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The purpose of this viewpoint paper is to share lessons learned from this novel application of web-monitoring software for health communication research. We aim to provide practical information to other researchers who are exploring technology-based methods to objectively measure the quality of cancer information individuals are exposed to online.
JMIR Cancer 2025;11:e65887
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Our study aims to address this gap by investigating patient and family perspectives on AI’s role in diagnosis and diagnostic communication across various theoretical and practical applications through a co-design approach. By engaging patients and families as partners in this research, we seek to uncover their expectations, concerns, and preferences for how AI should be used to enhance diagnostic safety, support clinician-patient communication, and promote equitable health care delivery.
J Particip Med 2025;17:e69564
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Communication among health care professionals is key to effective clinical care, with reports suggesting that health care professionals spend >80% of their time on clinical communication [1,2]. Although face-to-face communication is often preferred, it is often not possible due to a lack of geographical proximity or other constraints [3]. As such, health care professionals rely on a number of synchronous (eg, phone) or asynchronous (eg, secure messaging, email, and pager) modes of communication.
JMIR Med Inform 2025;13:e66544
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This approach aims to build a connection between health care providers and patients by leveraging the power of the internet to facilitate real-time monitoring, communication, and data sharing. Health care professionals can thus remotely monitor patients’ vital signs, provide guidance, offer medication reminders, and deliver personalized care plans [9,10]. In addition, the novel model could also streamline clinical workflows [11], enhance patient engagement [12], and facilitate knowledge sharing [13].
JMIR Med Inform 2025;13:e65445
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AR is already used for various applications, from patient communication to student learning and to overcome dental phobia [10,11]. This paper focuses on the potential of AR-enhanced learning material to help students [12] understand the complex concepts of bone remodeling. Knowledge of physiology is essential for teaching health sciences, including medicine and dentistry. Bone physiology is of key importance in surgical fields like orthopedics and oral, and maxillofacial surgery [13].
JMIR Serious Games 2025;13:e64751
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Language, as a fundamental aspect of human communication, reflects the intricate interplay between thoughts, emotions, and experiences. Quantitative analysis of language usage has emerged as a valuable tool for providing objective measures for diagnosing and differentiating between different psychiatric disorders.
JMIR AI 2025;4:e67369
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This interpretation suggests a pathway towards augmenting professional capabilities, potentially improving the consistency or breadth of patient communication. Yet, risks exist here as well, including over-reliance on AI outputs that potentially contain inaccuracies or biases, deskilling in core communication or critical thinking tasks through cognitive offloading, and ethical implications of using AI to generate content in patient care without adequate oversight or personalization.
J Med Internet Res 2025;27:e73918
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