e.g. mhealth
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Skip search results from other journals and go to results- 62 Journal of Medical Internet Research
- 40 JMIR Research Protocols
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- 21 JMIR Public Health and Surveillance
- 16 JMIR mHealth and uHealth
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Evaluating Generative AI in Mental Health: Systematic Review of Capabilities and Limitations
The lack of comprehensive and unified evaluation frameworks limited the scope and depth of conclusions the field could draw regarding Gen AI’s capabilities in mental health.
The psychoeducation capabilities of Gen AI in providing information related to mental health received the most evidence. This could be related to the single approach of using zero-shot prompting that was shared among almost all studies in this review.
JMIR Ment Health 2025;12:e70014
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Implementation of New Technologies in an Aged Care Social Day Program: Mixed Methods Evaluation
The Stakeholder Advisory Group was comprised of members of the organization and evaluation project team and a representative from each of the 3 stakeholder-participant groups (clients, family members or carers, and staff of the Social Day Program) and was formed to ensure consumer awareness and the suitability and feasibility of evaluation methods.
JMIR Aging 2025;8:e60297
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The survey was developed using a co-design approach with members of the Physician Think Tanks and was informed by the Benefits Evaluation Framework, benchmark survey data, and relevant literature. The survey underwent testing with the Physician Think Tank members to refine its topics, content, and wording. It was available from January to March 2023, with biweekly reminders sent to encourage participation.
JMIR Hum Factors 2025;12:e65656
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For the evaluation process of the “CONTIGO” mobile application, eligibility criteria were established for potential evaluators. This aims to ensure that evaluators possess the necessary expertise to provide meaningful feedback on the application’s functionalities and effectiveness in supporting patients.
JMIR Hum Factors 2025;12:e60169
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Guideline-Incorporated Large Language Model-Driven Evaluation of Medical Records Using MedCheckLLM
One underexplored area is their application for the reliable evaluation of medical documents. The automated evaluation of these documents has the potential to enhance patient safety. The system’s reasoning process must be (1) transparent and comprehensible to human evaluators and (2) guided by established medical guidelines proven to increase patient safety [3].
JMIR Form Res 2025;9:e53335
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A developmental evaluation is utilization focused and should be designed and implemented in ways that maximize utility for the primary intended users [46]. This evaluation approach generates data and findings in near real time, thereby facilitating developmental decision-making and course corrections throughout the development process [44,47].
This evaluation was guided by the following overarching evaluation questions:
What factors influenced the CO-Away digital health platform development?
JMIR Form Res 2025;9:e53339
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This dual evaluation highlights the novelty of our work, offering insights into the reliability and efficiency of AI-based segmentation in clinical workflows.
The data used for this study was collected within the Rotterdam Periconception Cohort (Predict Study).
J Med Internet Res 2025;27:e60887
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To simultaneously support reporting for the outcome-based funding model and evaluate the real-world impact of a routinely delivered community program, a comprehensive continuous evaluation protocol informed by the RE-AIM framework was developed.
The purpose of this paper is to describe the development of Logan Healthy Living and the protocol for program evaluation of this allied health care service.
JMIR Res Protoc 2025;14:e69477
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This study has several limitations regarding the performance evaluation of Chat GPT-3.5 Turbo and Chat GPT-4o mini. The analysis was based solely on Chat GPT’s indication of the correct answer, which, while aligning with expectations for human candidates, does not consider other aspects of examination performance. Additionally, the grading did not account for the complexity or length of the questions, providing an incomplete assessment of the models’ performance.
JMIR Med Educ 2025;11:e65108
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