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More AI agents launching on patient management systems

More AI agents launching on patient management systems

December 17, 2025December 17, 2025
AI blueprint from NAACP prioritizes health equity in model development

AI blueprint from NAACP prioritizes health equity in model development

December 17, 2025December 17, 2025
AI guardrails are essential to protect patient safety

AI guardrails are essential to protect patient safety

December 17, 2025December 17, 2025
Exploring the Fit Between the Outputs of Freely Available Medication Adherence Apps and Users’ Needs: Mixed Methods Study

Exploring the Fit Between the Outputs of Freely Available Medication Adherence Apps and Users’ Needs: Mixed Methods Study

December 17, 2025December 17, 2025
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Tag: mhealth

Unraveling the Factors Associated With Digital Health Intervention Uptake: Cross-Sectional Study

Unraveling the Factors Associated With Digital Health Intervention Uptake: Cross-Sectional Study

December 9, 2025December 10, 2025JMIR mHealth and uHealth

Background: Chronic noncommunicable diseases (NCDs) remain a leading health challenge worldwide, and reducing modifiable lifestyle risk factors is a key prevention strategy. Digital health interventions (DHIs) offer scalable, cost-effective tools to support healthy behaviors,…

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Exploring Age-Related Patterns in Smartphone Keystroke Dynamics Considering Temporal Variability: Cross-Sectional Study With AI-Based Analysis

Exploring Age-Related Patterns in Smartphone Keystroke Dynamics Considering Temporal Variability: Cross-Sectional Study With AI-Based Analysis

December 3, 2025December 3, 2025JMIR mHealth and uHealth

Background: Keystroke dynamics on smartphones have emerged as a promising form of passive digital biomarker. While previous studies have explored their utility in several diseases and disorders, relatively few have examined how these dynamics…

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Health Motivation as a Predictor of mHealth Engagement Across BMI: Cross-Sectional Survey

Health Motivation as a Predictor of mHealth Engagement Across BMI: Cross-Sectional Survey

December 2, 2025December 2, 2025JMIR mHealth and uHealth

Background: Digital health tools, such as mobile apps and wearable devices, have been widely adopted to support self-management of health behaviors. However, user engagement remains inconsistent, particularly among populations with varying BMI. While digital…

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Evaluation of a Pilot mHealth Intervention to Engage Primary Care Clients at an Urban Clinic Serving Marginalized Populations: Mixed-Methods Cohort Study

Evaluation of a Pilot mHealth Intervention to Engage Primary Care Clients at an Urban Clinic Serving Marginalized Populations: Mixed-Methods Cohort Study

November 27, 2025November 28, 2025JMIR mHealth and uHealth

Background: Many individuals in urban low-income settings face barriers to engaging in primary care. The advancement of mobile health (mHealth) expands options for facilitating communication between primary care providers and clients. Objective: We conducted…

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Transdiagnostic Cognitive Control Training for Patients Waiting for Outpatient Psychotherapy: Randomized Clinical Trial

Transdiagnostic Cognitive Control Training for Patients Waiting for Outpatient Psychotherapy: Randomized Clinical Trial

November 27, 2025November 27, 2025JMIR mHealth and uHealth

Background: Various mental disorders are associated with impaired cognitive control, which is crucial for effective emotion regulation. Cognitive control training has demonstrated promise in enhancing emotion regulation and alleviating distress in disorders characterized by…

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Smartphone-Based Approach-Avoidance Bias Modification Training for Depression: Randomized Clinical Trial

Smartphone-Based Approach-Avoidance Bias Modification Training for Depression: Randomized Clinical Trial

November 27, 2025November 27, 2025JMIR mHealth and uHealth

Background: Effective treatments for depression are available, yet many patients do not respond to treatment or experience relapse. Cognitive bias modification aims to ameliorate cognitive biases that contribute to the development and maintenance of…

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Interpretable Machine Learning Models for Analyzing Determinants Affecting the Use of mHealth Apps Among Family Caregivers of Patients With Stroke in Chinese Communities: Cross-Sectional Survey Study

Interpretable Machine Learning Models for Analyzing Determinants Affecting the Use of mHealth Apps Among Family Caregivers of Patients With Stroke in Chinese Communities: Cross-Sectional Survey Study

November 25, 2025November 25, 2025JMIR mHealth and uHealth

Background: The mHealth App was believed as an effective method to support family caregivers to better care for stroke patients. This study aimed to explore the status and the influencing factors of mHealth App…

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Methodological Considerations in Evaluating Mental Health Apps: Ensuring Reliability and Patient Safety

Methodological Considerations in Evaluating Mental Health Apps: Ensuring Reliability and Patient Safety

November 20, 2025November 20, 2025JMIR mHealth and uHealth

N/A…

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Authors’ Reply: Methodological Considerations in Evaluating Mental Health Apps: Ensuring Reliability and Patient Safety

Authors’ Reply: Methodological Considerations in Evaluating Mental Health Apps: Ensuring Reliability and Patient Safety

November 20, 2025November 20, 2025JMIR mHealth and uHealth

…

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Effects of Heat Adaptation Behaviors on Resting Heart Rate Response to Summer Temperatures in Older Adults: Wearable Device Panel Study

Effects of Heat Adaptation Behaviors on Resting Heart Rate Response to Summer Temperatures in Older Adults: Wearable Device Panel Study

November 14, 2025November 15, 2025JMIR mHealth and uHealth

Background: The health impact of summer heat on older adults is a growing public concern, yet the physiological responses, particularly changes in resting heart rate (RHR), and the role of personal heat adaptation behaviors…

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Transformation implies an order of magnitude improvement in performance, as opposed to incremental improvement. Digital implies the convergence of technologies in which the total is greater than the sum of the parts. Thus, digital transformation unlocks breakthrough or innovative business performance through the synergistic use of technology. Said another way, digital transformation is what turns the lead into gold.

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