e.g. mhealth
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Skip search results from other journals and go to results- 13 Journal of Medical Internet Research
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Authors’ Reply: Advancing Digital Health Integration in Oncology
Our study underscored the critical role of clinician endorsements as external motivators that significantly influence both the intention to use and the actual usage of health care apps. However, the real-world application of digital tools in clinical settings often reveals a gap between controlled study environments and everyday clinical practice. In addressing this, we aimed to minimize such discrepancies by using commercial apps without structured reminders, thus fostering more natural user engagement.
J Med Internet Res 2025;27:e72477
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Advancing Digital Health Integration in Oncology
To conclude, Park et al [1] have laid a solid foundation for understanding how patients with cancer adopt health care apps, emphasizing the centrality of user experience and clinician endorsement. However, broader integration of telemedicine advances, joint patient-provider acceptance, and interactive patient portal functionalities could drive higher engagement rates and better patient outcomes across diverse populations.
J Med Internet Res 2025;27:e70316
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Intervention: AI-powered clinician tools
Focus is on AI-powered clinician tools: the search targeted manuscript titles containing the terms (AI OR “Artificial Intelligence”).
Comparator: not applicable
There were no restrictions on eligible conditions for inclusion.
Outcome: assessment criteria
The search targeted manuscript titles also containing AND (assessment OR assess OR evaluation OR evaluating OR effectiveness OR efficacy OR quality OR efficiency OR usability OR usefulness).
J Med Internet Res 2025;27:e67485
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A study found that only 11% of 59 PRO questionnaires are readable by the average UK adult [15], emphasizing the need for a patient-clinician dialogue to enhance understanding and decision-making [5]. Numerical scores derived from PROs can represent a person’s health status or health-related quality of life to a limited extent because some of the narrative is lost along the way. In the representation of PRO data, there is a need to be able to give meaning to individual experiences [4].
JMIR Hum Factors 2025;12:e58077
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Participant demographics were collected, including age group, sex, facility (Gold Coast University Hospital, Robina Hospital, Varsity Lakes Day Hospital, health precinct, or community health), AH profession (audiology, clinical measurements, dietetics, medical imaging, occupational therapy, pharmacy, physiotherapy, podiatry, psychology, speech pathology, or social work), role (clinical informatics or technology, clinician, educator or clinical facilitator, governance, manager, researcher, or academic), years
JMIR Form Res 2024;8:e57204
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Recognizing patients more as consumers, clinician recommendations play a crucial role in app retention, boosting confidence and adherence [60]. This underscores the potential of clinician recommendations to enhance adherence to digital health solutions.
Compared to other chronic diseases, the relationship between the patient with cancer and oncologist (surgical oncologist) is especially important in the dynamic treatment process and decision-making [61,62].
J Med Internet Res 2024;26:e55176
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The questionnaire was administered through the Innowell platform, a web-based platform that supports individuals’ mental health by facilitating regular symptom monitoring, and client-clinician feedback [17].
J Med Internet Res 2024;26:e60879
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Clinician adoption of smart home technology requires clinicians to use and understand a new form of evidence. Accordingly, using the findings of this systematic review, we developed a theoretical model to support clinician readiness for and adoption of HAS technology, which will be discussed at the end of the Results section.
JMIR Aging 2024;7:e64367
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Reflections From the Pandemic: Is Connectivism the Panacea for Clinicians?
Fifth, the clinician can incorporate these tools as part of a synchronous classroom activity and model critical inquiry skills when using Gen AI. By analyzing the accuracy of outputs, clinicians can model iterative prompting to refine Gen AI outputs, refine learning, and expose the gaps in outputs.
J Med Internet Res 2024;26:e53344
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