Search Articles

View query in Help articles search

Search Results (1 to 10 of 327 Results)

Download search results: CSV END BibTex RIS


Perception and Evaluation of a Knowledge Transfer Concept in a Digital Health Application for Patients With Heart Failure: Mixed Methods Study

Perception and Evaluation of a Knowledge Transfer Concept in a Digital Health Application for Patients With Heart Failure: Mixed Methods Study

Furthermore, patients with heart failure are hardly involved in the development process of mobile health interventions. Thus, the aim of this work was to develop a concept for a sustainable and engaging knowledge transfer with a specific focus on the needs and preferences of patients with heart failure.

Madeleine Flaucher, Sabrina Berzins, Katharina M Jaeger, Michael Nissen, Jana Rolny, Patricia Trißler, Sebastian Eckl, Bjoern M Eskofier, Heike Leutheuser

JMIR Hum Factors 2025;12:e56798

Automatic Human Embryo Volume Measurement in First Trimester Ultrasound From the Rotterdam Periconception Cohort: Quantitative and Qualitative Evaluation of Artificial Intelligence

Automatic Human Embryo Volume Measurement in First Trimester Ultrasound From the Rotterdam Periconception Cohort: Quantitative and Qualitative Evaluation of Artificial Intelligence

The current standard for monitoring growth and development during early pregnancy is the crown-rump length (CRL). Early measurements of the CRL are used in standard clinical practice to estimate gestational age. Moreover, CRL measurements can be used to predict miscarriages and are associated with estimated fetal weight, birth weight, and adverse pregnancy outcomes [1-5]. Volumetric measurements of the human embryo during early pregnancy are a novel way to assess growth and development.

Wietske A P Bastiaansen, Stefan Klein, Batoul Hojeij, Eleonora Rubini, Anton H J Koning, Wiro Niessen, Régine P M Steegers-Theunissen, Melek Rousian

J Med Internet Res 2025;27:e60887

Creation of Scientific Response Documents for Addressing Product Medical Information Inquiries: Mixed Method Approach Using Artificial Intelligence

Creation of Scientific Response Documents for Addressing Product Medical Information Inquiries: Mixed Method Approach Using Artificial Intelligence

The development and maintenance of SRDs are entrusted to the medical information department within these organizations. This department is composed of medical experts who possess in-depth knowledge of specific therapeutic areas and are responsible for various strategic activities, including the meticulous development of SRDs [2]. SRDs are tailored to address specific inquiries, presenting a concise summary, relevant background information, clinical data, and scientifically balanced references [1].

Jerry Lau, Shivani Bisht, Robert Horton, Annamaria Crisan, John Jones, Sandeep Gantotti, Evelyn Hermes-DeSantis

JMIR AI 2025;4:e55277

The Construction and Application of a Clinical Decision Support System for Cardiovascular Diseases: Multimodal Data-Driven Development and Validation Study

The Construction and Application of a Clinical Decision Support System for Cardiovascular Diseases: Multimodal Data-Driven Development and Validation Study

Additionally, the “Opinions on Promoting High-Quality Development of Public Hospitals” issued by the State Council Office in May 2021, emphasized cardiovascular and cerebrovascular diseases as key clinical specialties for the high-quality development of public hospitals.

Shumei Miao, Pei Ji, Yongqian Zhu, Haoyu Meng, Mang Jing, Rongrong Sheng, Xiaoliang Zhang, Hailong Ding, Jianjun Guo, Wen Gao, Guanyu Yang, Yun Liu

JMIR Med Inform 2025;13:e63186

On the Necessity of Multidisciplinarity in the Development of at-Home Health Monitoring Platforms for Older Adults: Systematic Review

On the Necessity of Multidisciplinarity in the Development of at-Home Health Monitoring Platforms for Older Adults: Systematic Review

This is including, but not limited to, development and deployment of disease diagnosis and progression analysis, fall detection and prevention, lifestyle monitoring, vital-sign monitoring, and smart-home systems. Candidate papers must present methods that have the prospect of or are already actively being tested in an at-home environment in whole or in part.

Chris Lochhead, Robert B Fisher

JMIR Hum Factors 2025;12:e59458

A Narrative Review to Identify Promising Approaches for Digital Health Interventions to Support Emotion Regulation for Adolescents With Attention-Deficit/Hyperactivity Disorder

A Narrative Review to Identify Promising Approaches for Digital Health Interventions to Support Emotion Regulation for Adolescents With Attention-Deficit/Hyperactivity Disorder

As smartphone-delivered digital health interventions (DHIs) have a strong potential to meet this need, the purpose of this review is to synthesize the relevant evidence on the most promising intervention approaches, components, and other design and development considerations to provide recommendations for emotion regulation DHI development for adolescents with ADHD. We use a narrative review approach because of the heterogeneity of the relevant evidence base.

Aja Louise Murray, Melissa Thye, Ingrid Obsuth, Shufang Cai, Michael Lui, Corina Orr, Anusha Saravanan

JMIR Ment Health 2025;12:e56066

Parental Perceptions of Priorities and Features for a Mobile App to Promote Healthy Lifestyle Behaviors in Preschool Children: Mixed Methods Evaluation

Parental Perceptions of Priorities and Features for a Mobile App to Promote Healthy Lifestyle Behaviors in Preschool Children: Mixed Methods Evaluation

During the formative stage of app development, we sought to integrate feedback from parents with children in our target age range in order to assess major areas of interest and ways the app could best meet their needs. Using a novel mixed methods approach, we combined concept mapping activities and qualitative interviews to capture the perceptions of parents on app content and features.

Jessica R Thompson, Summer J Weber, Shelagh A Mulvaney, Susanna Goggans, Madeline Brown, Anthony Faiola, Lynn Maamari, Pamela C Hull

JMIR Pediatr Parent 2025;8:e65451

Development and Validation of Prediction Models for Perceived and Unmet Mental Health Needs in the Canadian General Population: Model-Based Synthetic Estimation Study

Development and Validation of Prediction Models for Perceived and Unmet Mental Health Needs in the Canadian General Population: Model-Based Synthetic Estimation Study

The regression synthetic estimation method involves several steps: (1) The development of a prediction model of the outcome at the individual level. (2) The coefficients derived from the foregoing model are used with a parallel set of predictors on the area level, using data obtained from CCHS, and coded using the same categories as used to estimate the individual-level model and to compute national and area-level estimates. (3) Internal and external validation.

Jianli Wang, Heather Orpana, André Carrington, George Kephart, Helen-Maria Vasiliadis, Benjamin Leikin

JMIR Public Health Surveill 2025;11:e66056

Automated Process for Monitoring of Amiodarone Treatment: Development and Evaluation

Automated Process for Monitoring of Amiodarone Treatment: Development and Evaluation

The development of streamlined automated work processes is therefore an attractive option for amiodarone treatment follow-up. In this study, we present a model for the automation of repetitive follow-up of patients with amiodarone treatment. First, we constructed an automated solution including the whole surveillance process, using a robotic process automation (RPA) software tool. We then compared the RPA to standard manual amiodarone follow-up as presently practiced.

Birgitta I Johansson, Jonas Landahl, Karin Tammelin, Erik Aerts, Christina E Lundberg, Martin Adiels, Martin Lindgren, Annika Rosengren, Nikolaos Papachrysos, Helena Filipsson Nyström, Helen Sjöland

J Med Internet Res 2025;27:e65473

Participant Compliance With Ecological Momentary Assessment in Movement Behavior Research Among Adolescents and Emerging Adults: Systematic Review

Participant Compliance With Ecological Momentary Assessment in Movement Behavior Research Among Adolescents and Emerging Adults: Systematic Review

Our understanding of EMA compliance among movement behavior studies remains poor and thus warrants greater attention to help inform the development of future and more effective EMA protocols. Data collection efforts involving repeated participant observations such as EMA allow researchers to study the temporal patterns and momentary processes that influence movement behaviors while allowing for the disaggregation of data into between-subjects and within-subjects for analysis [9].

Shirlene Wang, Chih-Hsiang Yang, Denver Brown, Alan Cheng, Matthew Y W Kwan

JMIR Mhealth Uhealth 2025;13:e52887