Research
The humans inside health technology
Systems don’t fail on their own. People resist them, adapt them, and occasionally love them. My research studies that relationship, from EMR resistance to digital twins.
Areas
Three questions I keep asking
Technology Adoption & Resistance
Why healthcare professionals embrace or resist new systems: the human factors that decide whether implementations succeed.
Digital Health Innovation
Patient portals in emerging markets, digital twins in chronic-disease management, and the technologies reshaping care delivery.
Health Informatics Education
How the next generation of health information professionals learns: industry-embedded curricula, AI-assisted learning, and capstone research.
0%
R² = 0.78
Doctoral dissertation · The flagship study
Why do clinicians resist electronic medical records?
Five constructs, 350 clinicians, one model that explained 78% of the variability in resistance. Explore the study interactively: constructs, hypotheses, methodology, and results.
Publications
Published & presented
Peer-reviewed and conference work, with new research articles on the way.
- 2026Conference
AI Revolution in Healthcare Summit, Edition II
Conrad Dubai, United Arab Emirates · April 2026
- 2016Dissertation
Electronic Medical Records: Resistance Factors among Clinicians
Doctoral dissertation, Nova Southeastern University
More in progress. This page grows
Capstone supervision
Capstone projects I've supervised
Research I have supervised at HCT, spanning digital health, AI adoption, interoperability, and patient-facing technology.
Evaluating the Sephora Skin Analysis Service against Dermatologist Assessment: A Pilot Study
A pilot study comparing a consumer skin-analysis service with blinded dermatologist assessment in the UAE, measuring agreement on skin type and pigmentation with Cohen's Kappa alongside usability factors such as lighting and technique. It found the workflow feasible and positioned such tools as supportive awareness aids rather than replacements for clinical evaluation.
Factors Influencing mHealth Adoption for Diabetes Prevention among Healthcare Students
Using the Technology Acceptance Model extended with trust in AI and cultural factors, this cross-sectional study surveyed HCT healthcare students on their intention to use AI-powered diabetes-prevention apps. Perceived usefulness and cultural influence emerged as the strongest predictors of adoption in a collectivist setting.
Awareness and Understanding of Premarital Genetic Testing among HCT Students in Abu Dhabi
A survey of 432 students examined awareness and attitudes toward premarital genetic testing following the UAE's 2025 mandate. Awareness was moderate, most respondents would decline a genetically incompatible marriage, and clear openness to tele-consultation pointed to a need for targeted educational campaigns.
Digital Health Literacy and Access: Patient Portal Non-Usage in the UAE
This study used PLS-SEM to explain why university students, faculty, and staff underuse patient portals, testing Wi-Fi access, security concerns, ease of use, and awareness. The model explained just over half of the variance, with access, security, and ease of use standing out as the significant drivers.
Speech Recognition and Clinical Documentation Efficiency: Abu Dhabi Compared with Paris
A comparative study of speech-recognition adoption in clinical documentation across hospitals in Abu Dhabi and Paris, combining survey and interview data through the UTAUT lens. Centralized systems eased adoption in Abu Dhabi while GDPR-driven decentralization complicated it in Paris, and adoption was linked to stronger documentation efficiency and clinician satisfaction.
Research collaboration?
Technology adoption, digital health, health informatics education, always open to collaborators.