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Challenges for Data Quality in the Clinical Data Life Cycle: Systematic Review

Challenges for Data Quality in the Clinical Data Life Cycle: Systematic Review

In this study, an EHR refers to all electronically stored records of patient health information, encompassing both electronic medical records and personal health records. To conduct the literature review, we followed the methods of previous studies that closely reviewed previous EHR data [14,27-29]. A Pub Med literature search was conducted by the first author in October 2023.

Doyeon An, Minsik Lim, Suehyun Lee

J Med Internet Res 2025;27:e60709

Playful Antisedentary Interactions for Online Meeting Scenarios: A Research Through Design Approach

Playful Antisedentary Interactions for Online Meeting Scenarios: A Research Through Design Approach

To further clarify the insights from the idea cards, we used an affinity diagram to identify common themes, patterns, and relationships among the data points. For the discussion content, we used the conventional qualitative content analysis method outlined by Hsieh and Shannon [59] to examine how the initial design considerations supported participants in formulating their ideas. An illustration of our design process, highlighting the various stages involved. The co-design workshops yielded rich insights.

Jiaqi Jiang, Shanghao Li, Xian Li, Yingxin Xu, Jian Zhao, Pengcheng An

JMIR Serious Games 2025;13:e62778

Efficacy of a Web-Based Integrated Growth Mindset Intervention on Reducing Anxiety Among Social Work and Counseling Practicum Trainees: Protocol for a 2-Arm Randomized Controlled Trial

Efficacy of a Web-Based Integrated Growth Mindset Intervention on Reducing Anxiety Among Social Work and Counseling Practicum Trainees: Protocol for a 2-Arm Randomized Controlled Trial

Practicum is an essential educational component of professional training [1,2], bridging the gap between theory and practice and enhancing the professional capacity and core competence of future practitioners [3,4]. The quality of fieldwork profoundly influences social work trainees’ personal, intellectual, and professional development [4], per communication skills, critical reflection, professional growth, creativity, innovation, and self-efficacy [1,5].

Yongyi Wang, An Xi, Stella S K Wong, Kong Yam, Janet Tsin Yee Leung, Shimin Zhu

JMIR Res Protoc 2025;14:e67234

Disease Prediction Using Machine Learning on Smartphone-Based Eye, Skin, and Voice Data: Scoping Review

Disease Prediction Using Machine Learning on Smartphone-Based Eye, Skin, and Voice Data: Scoping Review

Participants were asked to read an article containing 500 words, and an i Phone was used to record both audio and video. DT, KNN, SVM, LR, naive Bayes, RF, LR, gradient boosting (GBoost), adaptive boosting (Ada Boost), and light gradient boosting (LGBoost) were compared to assess their performance in terms of accuracy, precision, recall, F1-score, and area under the receiver operating characteristic curve for binary classification.

Research Dawadi, Mai Inoue, Jie Ting Tay, Agustin Martin-Morales, Thien Vu, Michihiro Araki

JMIR AI 2025;4:e59094

Effect of a Telemedicine Model on Patients With Heart Failure With Reduced Ejection Fraction in a Resource-Limited Setting in Vietnam: Cohort Study

Effect of a Telemedicine Model on Patients With Heart Failure With Reduced Ejection Fraction in a Resource-Limited Setting in Vietnam: Cohort Study

Participants were eligible if they (1) were aged 18 years or older, (2) were diagnosed with HF according to European Society of Cardiology criteria with an LVEF ≤40% [2], (3) had been admitted to the hospital for acute HF within 12 months prior to starting the study, and (4) had a clinical presentation of NYHA classification of II or III.

Hoai Thi Thu Nguyen, Hieu Ba Tran, Phuong Minh Tran, Hung Manh Pham, Co Xuan Dao, Thanh Ngoc Le, Loi Doan Do, Ha Quoc Nguyen, Thom Thi Vu, James Kirkpatrick, Christopher Reid, Dung Viet Nguyen

J Med Internet Res 2025;27:e67228

Optimization of the Care4Today Digital Health Platform to Enhance Self-Reporting of Medication Adherence and Health Experiences in Patients With Coronary or Peripheral Artery Disease: Mixed Methods Study

Optimization of the Care4Today Digital Health Platform to Enhance Self-Reporting of Medication Adherence and Health Experiences in Patients With Coronary or Peripheral Artery Disease: Mixed Methods Study

Today, the platform has expanded to 3 components: a patient mobile app, a health care provider (HCP) portal, and an educational website. The app (Care4 Today Connect [18]) has been designed to encourage patients to take an active role in managing their overall health. According to the sponsor’s internal health store database and Google Analytics, from mid-2020 until mid-2024, the app has supported an estimated 2000 users across company-sponsored initiatives.

Stephanie Juan, Ante Harxhi, Simrati Kaul, Breeana Woods, Monica Tran, Gabrielle Geonnotti, Archit Gupta, Emily Dean, Cassandra E Saunders, Gloria Payne

JMIR Cardio 2025;9:e56053

Correlation Between Diagnosis-Related Group Weights and Nursing Time in the Cardiology Department: Cross-Sectional Study

Correlation Between Diagnosis-Related Group Weights and Nursing Time in the Cardiology Department: Cross-Sectional Study

In the meantime, studies in China have also shown that DRG systems can be used as an evaluation index for the quality of medical services, work efficiency, operating costs, and performance [11].

Chen Lv, Yi-Hong Gong, Xiu-Hua Wang, Jun An, Qian Wang, Jing Han, Xiao-Feng Chen

JMIR Med Inform 2025;13:e65549

Deep Learning–Based Electrocardiogram Model (EIANet) to Predict Emergency Department Cardiac Arrest: Development and External Validation Study

Deep Learning–Based Electrocardiogram Model (EIANet) to Predict Emergency Department Cardiac Arrest: Development and External Validation Study

Electrocardiogram (ECG) is an old tool in clinical medicine but has re-emerged for the prediction of low left ventricular ejection fraction [17], arrhythmia [18], dyskalemia [19], or even longer-term mortality [20].

Shao-Chi Lu, Guang-Yuan Chen, An-Sheng Liu, Jen-Tang Sun, Jun-Wan Gao, Chien-Hua Huang, Chu-Lin Tsai, Li-Chen Fu

J Med Internet Res 2025;27:e67576

Comparative Effectiveness of Wearable Devices and Built-In Step Counters in Reducing Metabolic Syndrome Risk in South Korea: Population-Based Cohort Study

Comparative Effectiveness of Wearable Devices and Built-In Step Counters in Reducing Metabolic Syndrome Risk in South Korea: Population-Based Cohort Study

If any of these 5 health behaviors were not practiced before the program but were adopted afterward, it was considered an improvement in health behaviors.

Kyung-In Joung, Sook Hee An, Joon Seok Bang, Kwang Joon Kim

JMIR Mhealth Uhealth 2025;13:e64527