ReviewCureus2025
Human-Centered Design and Development in Digital Health: Approaches, Challenges, and Emerging Trends.
Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Usability and Workflow Integration of a Machine Learning-Derived Neonatal Risk Predictor in Kenyan Neonatal Units: Multisite User-Centered Pilot Evaluation.JMIR human factors · 2026Article
- Engaging tuberculosis-affected people in investment decisions: applying a people-centered design approach in Viet Nam.BMC public health · 2026Article
- Automated Physical Activity Support for Adults and Youth From Low-Income Communities: Single-Arm Pilot Study.JMIR mHealth and uHealth · 2026Article
- Gamified Assessment of Cognitive Impulsivity in Eating Disorders and Mental Ill-Health: Mixed Methods Study Incorporating Lived Experience Co-Design and Evaluation.JMIR serious games · 2026Article
- A multimodal vision dataset for nursing action recognition and quality assessment in NICU.Scientific data · 2026Article
- Digital Episodic Future Thinking Intervention (Luminaut): Co-Design and Iterative Development Study.JMIR human factors · 2026Article
- A Bilingual AI-Based Chatbot for Nutrition Education in a Food Is Medicine Intervention for High-Risk Pregnant Women: Design and Development Study.JMIR formative research · 2026Article
- Improving motor imagery decoding methods for an EEG-based mobile brain-computer interface in the context of the 2024 Cybathlon.Journal of neuroengineering and rehabilitation · 2026Article
- Public Engagement Strategies in Digital Health Ethics: Protocol for a Scoping Review.JMIR research protocols · 2026Article
- The Oral-Gut-Immune-Nutrition Axis in Rheumatoid Arthritis: Molecular Mechanisms and Therapeutic Implications.International journal of molecular sciences · 2026Review
- Data-driven closed-loop health education: constructing an integrated assessment-intervention-feedback pathway for digital COPD management-a perspective.Frontiers in public health · 2026Article
- Quality Appraisal of Telerehabilitation Guidelines: A Systematic Review.International journal of telemedicine and applications · 2026Review
- Clinical Provider Perspectives on Remote Spirometry and mHealth for COPD.Nursing reports (Pavia, Italy) · 2025Article
- From Innovation to Integration: Bridging the Gap Between IoMT Technologies and Real-World Health Management Systems.Sensors (Basel, Switzerland) · 2025Article
- User perceptions and preferences for GeoHealth tools: A qualitative focus group study of non-expert and expert users.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human-centered design (HCD) has emerged as a critical approach for developing digital health technologies that are usable, acceptable, and effective within complex healthcare environments. Rooted in systems theory, ergonomics, and information systems research, HCD prioritizes the needs, capabilities, and limitations of diverse user groups - including patients, clinicians, and caregivers - throughout the design and implementation process. This review synthesizes current applications of HCD in four key domains: brain-computer interfaces (BCIs), augmented and virtual reality (AR/VR), artificial intelligence (AI)-based clinical decision support systems AI-CDSS, and mobile health (mHealth) technologies. It explores design frameworks, usability strategies, and models of human-technology collaboration that contribute to successful adoption and sustained use. Ethical and legal considerations - such as data privacy, informed consent, and algorithmic fairness - are also addressed, particularly in contexts involving biometric and neurophysiological data. While HCD practices have shown substantial potential to improve digital health outcomes, their implementation remains uneven across technologies and settings. Emerging trends, including adaptive personalization, explainable AI, and participatory co-design, are identified as promising directions for the development of more inclusive, trustworthy, and sustainable digital health innovations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.