e.g. mhealth
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Skip search results from other journals and go to results- 9 Journal of Medical Internet Research
- 5 JMIR Human Factors
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- 4 JMIR Medical Education
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We implemented simulation-based ECMO training to improve interprofessional collaboration through increased communication and enhanced teamwork. Moreover, the intention of the simulation training was to strengthen collaboration skills and increase confidence in providers to work through emergency scenarios. The specific aim of the study was to understand the impact of our simulation training approach on interprofessional collaboration.
JMIR Med Educ 2025;11:e57424
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The specific objectives, in collaboration with local HCS stakeholders, are to (1) identify concrete and achievable strategies for decentralized management, and (2) describe factors (facilitators and obstacles) that could potentially influence their integration.
JMIR Res Protoc 2025;14:e58271
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In addition, content development sprints are performed; a short period with intensive collaboration between a technical and psychological expert to develop a dialog (refer to Approach 6 section for more details). All content included in the Perfect Fit intervention has been developed through an iterative feedback process by numerous stakeholders within (eg, academics from various backgrounds) and outside (eg, professionals) the Perfect Fit research team.
JMIR Cardio 2024;8:e47730
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Developing a distribution component and online subgraph structure to facilitate the collaboration of intermediate reasoning findings across multiple centers. This initiative addresses data privacy concerns and enhances local systems with the capability for multicenter collaboration.
An application study was conducted to evaluate the system’s effectiveness in assisting clinicians in detecting undiagnosed CKD in patients who visited multiple hospitals.
J Med Internet Res 2024;26:e54263
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A crucial determinant for successfully implementing the human-AI collaboration approach is decision transparency [32,33], which is often referred to as explainability. Explainability is the concept that an ML model’s prediction can be explained in a way that human operators can comprehend and reconstruct the model’s reasoning [33].
JMIR Hum Factors 2024;11:e53378
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Continuing Medical Education in the Post COVID-19 Pandemic Era
Collaboration and open communication are fundamental factors throughout all stages of the CME. Course directors and speakers will need allocation of time away from their usual clinical practices to develop and take part in the event. Nonclinician support (program manager, CME specialist, public relations specialist, audiovisual experts, and other administrative staff) will also be needed. Depending on the size of one’s institution and the proposed CME, many of these roles could be combined.
JMIR Med Educ 2023;9:e49825
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For that reason, multidisciplinary collaboration is considered fundamental to the advancement of e Health R&D [9,12]. Nevertheless, multidisciplinary collaboration does not occur effortlessly or without barriers as stakeholders may have contrasting levels of power and interest, which can lead to different objectives, priorities, and expectations [11,13,14].
JMIR Hum Factors 2023;10:e45006
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Toward Community-Based Natural Language Processing (CBNLP): Cocreating With Communities
True CBPR (1) acknowledges the community as a unit of identity, (2) builds on the community’s strengths and resources, (3) promotes colearning and cocreation with the community, (4) seeks to balance research and action so that the collaboration is mutually beneficial in advancing the research agenda and the community’s needs, (5) highlights the importance of community-defined problems, (6) establishes an iterative process to develop and maintain partnerships between the researchers and community, (7) disseminates
J Med Internet Res 2023;25:e48498
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