Search Articles

View query in Help articles search

Search Results (1 to 10 of 134 Results)

Download search results: CSV END BibTex RIS

CSV download: Download all 134 search results (up to 5,000 articles maximum)

Usability Evaluation of Digital Health Applications for Older People With Depressive Disorders: Prospective Observational Study in a Mixed Methods Design

Usability Evaluation of Digital Health Applications for Older People With Depressive Disorders: Prospective Observational Study in a Mixed Methods Design

In Germany, efforts are underway to precisely ensure this evaluation through a standardization process, thereby giving patients direct access to quality-assured applications. Therefore, digital health applications (Di GA or Digitale Gesundheitsanwendungen) have been integrated into Germany’s health care system since the German Digital Healthcare Act came into effect in 2019.

Magdalini Chatsatrian, Katharina Kunde, Jennifer Bosompem, Jan Dieris-Hirche, Nina Timmesfeld, Rainer Wirth, Georg Juckel, Magdalena Pape, Anna Mai, Chantal Giehl, Bianca Ueberberg, Horst Christian Vollmar, Ina Carola Otte, Theresa Sophie Busse

JMIR Hum Factors 2025;12:e66271


Impact of Smartphone Apps on Reperfusion Times and Clinical Outcomes in Acute ST-Segment Elevation Myocardial Infarction: Systematic Review and Meta-Analysis

Impact of Smartphone Apps on Reperfusion Times and Clinical Outcomes in Acute ST-Segment Elevation Myocardial Infarction: Systematic Review and Meta-Analysis

The types of digital technology studied in this review include purpose-built software applications and commercially available instant messaging apps into STEMI care pathways, granted the latter fulfilled the prespecified eligibility checklist, namely, digital ECG transfer and real time communication between providers at the point of care. In cases wherein duplicate studies were identified, those with the largest sample size and follow up duration were solely included.

William Gibson, Dawoud Al Kindi, Elie Akl, Kshitij Badal Dandona, Jean-Philippe Pelletier, Nicolo Piazza, Ali Zgheib, Giuseppe Martucci, Marco Spaziano

JMIR Mhealth Uhealth 2025;13:e66605


A Digital Software Support Platform for Hyperthyroidism Management in South Korea: Markov Simulation Model-Based Cost-Effectiveness Analysis

A Digital Software Support Platform for Hyperthyroidism Management in South Korea: Markov Simulation Model-Based Cost-Effectiveness Analysis

The application of artificial intelligence–driven wearable devices in cardiac disease management is operative; however, there is little evidence of their applications in thyroid disease and its cost-effectiveness. To the best of our knowledge, this is the first economic evaluation that considers the cost-effectiveness of a wearable or mobile-based thyroid function digital monitoring solution compared with standard care from a health care system perspective.

Jung Hyun Kim, Jaeyong Shin, Man S Kim, Jae Hoon Moon

JMIR Mhealth Uhealth 2025;13:e56738


Recommendations for Designing a Digital Health Tool for Blindness Prevention Among High-Risk Diabetic Retinopathy Patients: Qualitative Focus Group Study of Adults With Diabetes

Recommendations for Designing a Digital Health Tool for Blindness Prevention Among High-Risk Diabetic Retinopathy Patients: Qualitative Focus Group Study of Adults With Diabetes

Features will inform users of local events, particularly those related to diabetes, offer resources for clinical trials, established programs, and integrate relevant existing applications for managing patient health data. The advisory board showed consensus on the must-have features.

Akua Frimpong, Alvaro Granados, Thomas Chang, Julia Fu, Shannan G Moore, Serina Applebaum, Bolatito Adepoju, Mahima Kaur, Vignesh Hari Krishnan, Amanda Levi, Terika McCall, Kristen Harris Nwanyanwu

JMIR Form Res 2025;9:e65893


Challenges in Implementing Artificial Intelligence in Breast Cancer Screening Programs: Systematic Review and Framework for Safe Adoption

Challenges in Implementing Artificial Intelligence in Breast Cancer Screening Programs: Systematic Review and Framework for Safe Adoption

Although there are over 20 Food and Drug Administration (FDA)–approved AI applications for breast imaging, their adoption and utilization in clinical settings remain highly variable and generally low [6]. Significant barriers to the implementation of AI in breast screening include inconsistent performance, limited generalizability of AI algorithms across diverse scenarios, and a lack of confidence among health care providers.

Serene Goh, Rachel Sze Jen Goh, Bryan Chong, Qin Xiang Ng, Gerald Choon Huat Koh, Kee Yuan Ngiam, Mikael Hartman

J Med Internet Res 2025;27:e62941


Effects of a Computer Vision–Based Exercise Application for People With Knee Osteoarthritis: Randomized Controlled Trial

Effects of a Computer Vision–Based Exercise Application for People With Knee Osteoarthritis: Randomized Controlled Trial

Digital health interventions have the potential to mitigate the time and resource limitations faced by patients with KOA by offering education and self-management through web-based platforms or applications that are scalable, inexpensive, readily available, and high coverage [7-9]. Digital health interventions have been shown to potentially offer benefits in the management of musculoskeletal disorders [10,11].

Dian Zhu, Jianan Zhao, Tong Wu, Beiyao Zhu, Mingxuan Wang, Ting Han

JMIR Mhealth Uhealth 2025;13:e63022