Check health professions papers: citations, claims and retractions

A Case Study of Organizational and Curricular Attributes for Interprofessional Education: A Model for Sustainable Curriculum Delivery

Azzam, M., Drynan, D., Fricke, M., Langlois, S., MacDonald, L., Vanier, M.-C., & Puvirajah, A. (2023) · Journal of Research in Interprofessional Practice and Education

Interprofessional Education and CollaborationInnovations in Medical Education

Cited by 8

Understanding Diagnostic Conversations in Clinical Practice: A Systematic Review

Huynh, K., Brito, J. P., Bylund, C. L., Prokop, L. J., & Ospina, N. S. (2023) · Patient Education and Counseling

Patient-Provider Communication in HealthcareClinical Reasoning and Diagnostic Skills

Cited by 8

Health-Promoting Behaviours following Primary Treatment for Cancer: A Rural–Urban Comparison from a Cross-Sectional Study

Nelson, D., McGonagle, I., Jackson, C., Tsuro, T., Scott, E., Gussy, M., & Kane, R. (2023) · Current Oncology

Health and Wellbeing ResearchCancer survivorship and care

Cited by 8

Automated Diet Capture Using Voice Alerts and Speech Recognition on Smartphones: Pilot Usability and Acceptability Study

Chikwetu, L., Daily, S., Mortazavi, B. J., & Dunn, J. (2023) · JMIR Formative Research

Mobile Health and mHealth ApplicationsUsability and User Interface Design

Cited by 8

Increasing Awareness and Use of Mobile Health Technology Among Individuals With Hypertension in a Rural Community of Bangladesh: Protocol for a Randomized Controlled Trial

Jahan, Y., Moriyama, M., Rahman, M. M., Kazawa, K., Rahman, A., Sayeem Bin Shahid, A. S. M., Das, S. K., Faruque, A., & Chisti, M. J. (2020) · JMIR Research Protocols

Mobile Health and mHealth ApplicationsBlood Pressure and Hypertension Studies

Cited by 8

Feasibility, Acceptability, Satisfaction, and Challenges of an mHealth App (e-ASCov) for Community-Based COVID-19 Screening by Community Health Workers in Rwanda: Mixed Methods Study

Omorou, A. Y., Ndishimye, P., Hoen, B., Mutesa, L., Karame, P., Nshimiyimana, L., Galmiche, S., Mugabo, H., Murayire, J., Mugisha, M., et al. (2024) · JMIR mHealth and uHealth

Mobile Health and mHealth ApplicationsCOVID-19 Digital Contact Tracing

Cited by 8

Specialist Nurse an Investigation of Common and Distinct Aspects of Practice

Fairweather, C., & Gardner, G. (2000) · Collegian

Nursing Roles and PracticesNursing education and management

Cited by 8

Usability questionnaire for standalone or interactive mobile health applications: a systematic review

Lim, P. C., Lim, Y. L., Rajah, R., & Zainal, H. (2025) · BMC Digital Health

Mobile Health and mHealth ApplicationsUsability and User Interface Design

Cited by 8

Automatic Adjustment of Mouse Settings to Improve Pointing Performance

Koester, H. H., & Mankowski, J. (2014) · Assistive Technology

Assistive Technology in Communication and MobilityGaze Tracking and Assistive Technology

Cited by 8

Social Media Use Among Parents and Caregivers of Children With Rare Genetic Diseases: Scoping Review

Davis, C., Bogaert, L., Powell, J., & Low, K. (2025) · Journal of Medical Internet Research

Health Literacy and Information AccessibilitySocial Media in Health Education

Cited by 8

Availability and Use of Digital Technology Among Women With Polycystic Ovary Syndrome: Scoping Review

Wright, P. J., Burts, C., Harmon, C., & Corbett, C. F. (2025) · JMIR Infodemiology

Mobile Health and mHealth ApplicationsOvarian function and disorders

Cited by 8

The clinical examination and socially at-risk populations

Murphy, K. A., Ellison-Barnes, A., Johnson, E. N., & Cooper, L. A. (2018) · Medical Clinics of North America

Patient-Provider Communication in HealthcareHealth disparities and outcomes

Cited by 8

Training toddlers seated on mobile robots to drive indoors amidst obstacles

Chen, X., Ragonesi, C., Agrawal, S. K., & Galloway, J. C. (2010) · 2010 3rd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics

Assistive Technology in Communication and MobilitySocial Robot Interaction and HRI

Cited by 8

Advancing physician wellness, engagement and excellence in a mental health setting: a Canadian perspective.

Wilkie, T., Tajirian, T., & Stergiopoulos, V. (2022) · Health Promotion International

Healthcare professionals’ stress and burnoutOccupational Health and Burnout

Cited by 8

Mobile Phone Short Message Service to Improve Malaria Pharmacoadherence in Zambia

Steury, E. E. (2016) · Journal of Nursing Scholarship

Mobile Health and mHealth ApplicationsMedication Adherence and Compliance

Cited by 8

Benefits Achieved for Patients Through Application of Height-Adjustable Examination Tables

Fragala, G., Labreche, M., & Wawzynieki, P. (2017) · Journal of Patient Experience

Patient-Provider Communication in HealthcareHealthcare Quality and Satisfaction

Cited by 8

What Is Being Used and Who Is Using It: Barriers to the Adoption of Smartphone Patient Experience Surveys

Ng, D., McMurray, J., Wallace, J., & Morita, P. (2019) · JMIR Formative Research

Mobile Health and mHealth ApplicationsHealth, Technology, Consumer Behavior

Cited by 8

Using the PARAFAC2 tensor factorization on EHR audit data to understand PCP desktop work

Perros, I., Yan, X., Jones, J. B., Sun, J., & Stewart, W. F. (2020) · Journal of Biomedical Informatics

Electronic Health Records SystemsTensor decomposition and applications

Cited by 8

A meta-analysis of technology-based interventions on treatment adherence and treatment success among TBC patients

Huda, M. H., Rahman, M. F., Zalaya, Y., Mukminin, M. A., Purnamasari, T., Hendarwan, H., Su’udi, A., Hasugian, A. R., Yuniar, Y., Handayani, R. S., et al. (2024) · PLOS ONE

Mobile Health and mHealth ApplicationsMedication Adherence and Compliance

Cited by 8

Assessing the prevalence of burnout among female microvascular head and neck surgeons

Benjamin, T., Gulati, A., Zebolsky, A. L., Seth, R., Knott, P. D., Okuyemi, O., & Park, A. M. (2023) · Facial Plastic Surgery & Aesthetic Medicine

Healthcare professionals’ stress and burnoutDiversity and Career in Medicine

Cited by 8

Problematic Interactions Between AI and Health Privacy

Price, N. (2021) · Utah Law Review Society

Thoreau and American LiteratureDigitalization, Law, and Regulation

Cited by 8

Leveraging large language models through natural language processing to provide interpretable machine learning predictions of mental deterioration in real time

de Arriba-Pérez, F., & García-Méndez, S. (2025) · Arabian Journal for Science and Engineering

Artificial Intelligence in HealthcareExplainable Artificial Intelligence (XAI)

Cited by 8

Comparison and Validation of Acoustic Voice Quality Index Version 2 and Version 3 among South Indian Population

Jayakumar, T., Rajasudhakar, R., & Benoy, J. J. (2024) · Journal of Voice

Voice and Speech DisordersPhonetics and Phonology Research

Cited by 8

Advancing a cascading train-the-trainer model of frontline HIV service providers in South Africa: protocol of an implementation trial

Kuo, C. C., Sibeko, G., Akande, M., Allie, S., Tisaker, N., Stein, D. J., & Becker, S. J. (2021) · Addiction Science & Clinical Practice

Health Policy Implementation ScienceSubstance Abuse Treatment and Outcomes

Cited by 8