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Skip search results from other journals and go to results- 7 Journal of Medical Internet Research
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Balancing Risks and Opportunities: Data-Empowered-Health Ecosystems
A “data ecosystem” refers to a network of entities engaged in generating, sharing, and using data resources through various technologies [1]. In the context of a data-for-health ecosystem, this network is diverse and decentralized, comprising public and private institutions, as well as individuals acting in various roles such as citizens, patients, and consumers.
J Med Internet Res 2025;27:e57237
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Generative artificial intelligence (Gen AI) is impacting educational spaces in ways that few technologies have since the personal computer and calculator [1-3]. Though Gen AI is not a new concept, its inroads into education and pedagogy started in earnest following the release of “Chat GPT” (November 30, 2022). We observed learners using Chat GPT within weeks of its release.
JMIR Med Educ 2025;11:e59210
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Dynamic Augmented Reality Cues for Telementoring in Minimally Invasive Surgeries: Scoping Review
One of the telemedicine technologies that is gaining considerable interest is telementoring, during which an expert medical professional (mentor) can provide real-time instructions to a novice (mentee) even if they are remotely located [1]. A growing application of telementoring technologies is seen in the field of surgery as a result of rising demands for specialized surgical expertise coupled with limited training opportunities [2].
J Med Internet Res 2025;27:e63939
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Yet, while clinical trials in controlled settings have frequently demonstrated the potential effectiveness of these technologies, these trials often report high attrition rates and decreasing usage over time [2-4]. For this reason, there are increasing calls to involve young people in digital mental health research so that new tools are optimally designed to suit the needs and preferences of the populations they seek to help [5-7].
J Med Internet Res 2024;26:e55441
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Co-Designing Remote Patient Monitoring Technologies for Inpatients: Systematic Review
RPM technologies encompass a wide range of tools, including wearable devices, telehealth platforms, mobile apps, implantable devices, and Internet of Things devices.
RPM technologies serve diverse purposes, from treating and observing acute conditions in the inpatient and care transition period to longer-term maintenance of chronic diseases in the outpatient setting.
J Med Internet Res 2024;26:e58144
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Preparing the players involved for this and enabling them to actively shape the transformation and contribute their professional expertise to the development, design, and implementation of new technologies are necessary educational tasks for the success of this process. The necessary competencies should be learned in practical, daily-use scenarios in order for the technologies and new processes to be confidently integrated into nursing practice [20,21].
JMIR Res Protoc 2024;13:e57860
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Approaches for the Use of AI in Workplace Health Promotion and Prevention: Systematic Scoping Review
There is growing consensus in the literature that adaptivity and autonomy are the key characteristics of AI applications and technologies [5]. AI is considered an umbrella concept of emerging technologies, enclosing fundamental distinct types such as machine learning (ML), deep learning (DL), or natural language processing (NLP) [4,8]. Technically, AI is an ML-based approach that simulates human minds’ cognitive and affective functions [3,8] and is designed to observe and react to a specific environment.
JMIR AI 2024;3:e53506
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This theory summarizes core concepts of technology acceptance and use into major domains, such as Ease of Use and Usefulness, which have been validated in many previous studies assessing how and why technologies are adopted [9]. Thus, the addition of theory to our design work allowed us to ensure that participant feedback was consistently documented and categorized against validated constructs throughout the study.
JMIR Hum Factors 2024;11:e53939
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By carefully weighing the benefits of improved patient outcomes against the costs in terms of productivity, health care providers can make informed decisions about how best to integrate LLMs into their practices, ensuring that these technologies serve to enhance rather than hinder the delivery of patient care.
Trust in user engagement with LLMs, particularly in health care, is a multifaceted construct influenced by sociotechnical and psychological factors.
J Med Internet Res 2024;26:e56764
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Despite the general contemporary increase in the use of information and communications technologies across all age groups, in the context of the Czech Republic, the use of technologies by older adults remains low [6,7]. This makes it challenging to effectively evaluate the attitudes toward technologies among this target population, as they lack the necessary frame of self-reference (ie, experience with said technologies) to do so.
J Med Internet Res 2024;26:e45492
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