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Theme Issue:
Innovations in Digital Health
The digital health landscape is rapidly evolving, driven by advances in technology, data science, and patient-centered care models. This theme issue showcases innovations spanning from artificial intelligence and predictive analytics to mobile health applications, wearable sensors, and telemedicine. Together, these tools are redefining how healthcare is delivered, monitored, and personalized.
Contributions in this issue examine the transformative role of digital health in disease prevention, chronic disease management, and the development of digital therapeutics tailored to individual needs. Remote monitoring technologies are highlighted as a cornerstone of modern care, enabling continuous assessment of patient health and outcomes outside traditional clinical settings.
Alongside these opportunities, important challenges are explored, including data privacy and security, interoperability across digital platforms, and ensuring equitable access to emerging technologies. Ethical frameworks and regulatory perspectives underscore the critical need for trust, transparency, and patient engagement in the adoption of digital health solutions.
Together, these articles capture the dynamic intersection of technology and healthcare delivery, offering insights into how digital health innovations are shaping the future of medicine and improving patient outcomes.
This theme issue was organized in collaboration with the committee.
Contents
Research Article
Telemedicine Adoption Among Nigerian Clinicians: Development and Validation of the Clinicians’ Telemedicine Adoption Model (CTAM)
This study explores the key factors that influence the adoption of telemedicine among Nigerian clinicians. It introduces the Clinicians’ Telemedicine Adoption Model (CTAM), an extension of the Unified Theory of Acceptance and Use of Technology (UTAUT), developed through a cross-sectional survey of 302 clinicians across eight government hospitals in Ondo State, Nigeria. Using SmartPLS 2.0 for structural equation modelling, the study examined relationships among Clinicians’ Telemedicine Adoption Model (CTAM) variables and analysed demographic factors including age, gender, and profession as potential moderators.
By Kayode I. Adenuga - University of Law Business School, Birmingham, United Kingdom; Noorminshah A. Iahad - Department of Applied Computing and Artificial Intelligence, Faculty of Computing, Universiti Teknologi Malaysia, UTM, Johor, Malaysia; Suraya Miskon - Department of Information Systems Faculty of Management, Universiti Teknologi Malaysia, UTM, Johor, Malaysia
Research Article
Evaluation of ChatGPT artificial intelligence dialogues and simulated scenarios to prepare nursing students for telehealth practicum
Combined simulation and live telehealth learning activities during prelicensure programs may be used to prepare future health care providers for practice in the Digital Era, and to measurably demonstrate value to the health care team and system by decreasing health care costs and increasing clients’ access to services
By Lorena D. Paul, DNP, MEd, GCNE, RN-BC - Associate Professor, School of Nursing and Health Professions, University of the Incarnate Word, San Antonio, Texas 78209, USA.
Research Article
CYBERBULLYING AND VICTIMIZATION IN ADOLESCENTS WITH ATTENTION DEFICIT HYPERACTIVITY DISORDER: THE ROLE OF DIGITAL RISK FACTORS
The findings emphasize the need to focus on the quality of online behaviors among adolescents with Attention Deficit Hyperactivity Disorder. These individuals may be particularly vulnerable to both perpetrating and experiencing cyberbullying due to problematic internet use and engagement in technically demanding online activities. Evaluating digital habits based on content and function is crucial for the prevention of cyberbullying and cybervictimization.
Özgür Önder Demirtaş, MD, Serdar Akkuş, MD, and Süleyman Kızıldağ, MD —Department of Child and Adolescent Psychiatry, Health Sciences University Gazi Yaşargil Training and Research Hospital, Diyarbakır, Türkiye
Research Article
Hybrid care model: Combining telemedicine and office visits for diabetes management in older adults with type 1 diabetes
Compared with in-person only visits, hybrid care maintained visit frequency and preserved glycaemic control measured as HbA1c. In a sub-group of older adults with T1D using CGM, time-in-range improved while time in hypoglycaemia did not change. These data suggest that a hybrid care model is efficacious in maintaining visitation and glycaemic control, and, as demonstrated in a sub-group of older adults with T1D using CGM, safe with respect to time in hypoglycaemia.
By Elena Toschi, MD, and Medha Munshi, MD—Joslin Diabetes Center; Beth Israel Deaconess Medical Center; Harvard Medical School; Atif Adam, PHD, MPH, MD, Rebecca Hurlbert, BA, and Christine Slyne, BA - Joslin Diabetes Center; Nana Frimpong, BA - Drexel University College of Medicine Lori Laffel, MD, MPH - Joslin Diabetes Center; Beth Israel Deaconess Medical Center; Harvard Medical School; Boston Children’s Hospital
Research Article
Using ‘Health’ to Promote Older Adults’ Digital Health Literacy
A positive experience with learning to use digital technologies is necessary to facilitate digital health literacy for older adults. Digital educators want access to reputable resources to promote health websites; many don’t know these exist. A wide range of digital literacy learning services exist, which need to be better promoted in hard copy and online. The authors recommend building on older adults’ existing relationships, engaging with community groups, providing pop-up sessions, and running events to increase digital technological knowledge and engage with health information online. The key is utilizing the right people to support the older adult with opportunities for digital skills uptake.
By Caroline A. Lockhart—Research Officer, School of Management, Massey University, Palmerston North; Inga Hunter—Associate Professor, School of Management, Massey University, Palmerston North
REVIEW ARTICLE
Enhancing Cardiovascular Health Outcomes: The Role of Digital Health in the 8 Essential Life Factors.
This review paper investigates digital health applications designed to support each component of the American Heart Association’s “Life’s Essential 8” framework, which aims to enhance cardiovascular health management. The methodology involved a comprehensive review of over one hundred applications available on both the Apple Store and Google Play, with a focus on those that promote healthy behaviors essential for maintaining cardiovascular health. A minimum of three to five applications were selected for each of the eight essential areas, ensuring compatibility with both Android and iPhone devices.
By Dr. Emelia Asamoah, Ph.D, RN - Morgan State University, School of Community Health and Policy, Department of Nursing
Research Article
DCS_PathIMS: AI-powered Digital Pathology Diagnostics Platform for Breast Cancer Histology Imaging Biomarker Discovery for Precision Oncology
AI-driven digital pathology addresses the shortage of pathologists and enhances diagnostic efficiency and accuracy. The proposed platform improves clinical decision-making, facilitates faster reporting, reduces false positives/negatives, and supports better patient outcomes through transparent and consistent evaluations. This approach minimizes medical-legal risks and lowers insurance costs, driving advancements in cancer care.
By Rajasekaran Subramanian—Associate Professor, Neil Gogte Institute of Technology, Hyderabad, Telangana State, India; R. Devika Rubi—Associate Professor, Keshav Memorial Institute of Technology, Hyderabad, Telangana State, India; Rohit Tapadia—Director, Tapadia Diagnostics Center, Hyderabad, India; Krishna Deep Yerramallu, Mohammed Arham Farooq, and Shaistha Aara—Research Intern, Keshav Memorial Institute of Technology, Hyderabad, Telangana State, India
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