e.g. mhealth
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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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Digital health tools have the potential to facilitate interaction between professionals in health care, enabling communication, coordination, cooperation, and collaboration (hereafter referred to as D4 C tools) [3-6]. While communication refers to “a process by which information is exchanged between individuals through a common system of symbols, signs, or behavior” [7], the lines between the other three concepts are blurry [8].
J Med Internet Res 2025;27:e69276
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In this context, we hypothesize that measuring MMM might help to identify opportunities to tailor communication and guide shared decision-making about medical AI to patients with different underlying care preferences.
This study was preregistered at Open Science Framework [24]. We programmed the web-based quantitative experimental questionnaire in Qualtrics (Silver Lake) and collected data in April and May 2024. A total of 1828 adult, English-speaking participants were recruited by Dynata [25].
J Med Internet Res 2025;27:e68823
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It has previously been shown that simulation-based learning is an effective means of acquiring communication skills [9]. Specifically, simulation with a standardized or simulated patient, which consists of using trained people to realistically portray a patient within learning contexts [10], is widely used to train communication skills [1].
Nonetheless, although the use of simulation methodologies has greatly advanced training in communication skills, its implementation also has limitations.
JMIR Med Educ 2025;11:e63082
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Development and Validation of the Media Health Literacy Scale: Assessment Tool Development Study
One of the key changes in transforming communication through the use of new media, including social network services and video-sharing platforms, is a shift from the one-way transmission of information by mass media institutions before the internet to a multidirectional exchange of information [1]. This change in the modes of communication has affected people’s lives as they use health care resources.
J Med Internet Res 2025;27:e62884
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Prognostic Disclosure in Metastatic Breast Cancer: Protocol for a Scoping Review
To promote the value of prognostic disclosure and help clinicians become more familiar with it, consensus guidelines specifically addressing patient-clinician communication have been developed [7]. Yet, many oncologists continue to feel uncomfortable communicating prognostic estimates to their patients, often due to concerns about causing psychological harm and diminishing hope [8-10].
JMIR Res Protoc 2025;14:e57256
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Adolescent Emoji Use in Text-Based Messaging: Focus Group Study
Adolescent communication is increasingly mediated by text-based communication platforms like SMS or social media messaging. About 95% of US adolescents aged 13‐17 years have a smartphone for personal use [1], and adolescents in this age group send and receive an average of 67 text messages each day [2]. Text messaging is now the dominant mode of communication between adolescents [2] and is increasingly important to adolescents’ relationships with parents and other adults [3].
JMIR Form Res 2025;9:e59640
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Reference 21: An overview of how eye tracking is used in communication research 2016communication
JMIR Hum Factors 2025;12:e67111
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Authors’ Reply: Enhancing AI-Driven Medical Translations: Considerations for Language Concordance
communication
JMIR Med Educ 2025;11:e71721
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