Most cited health professions papers
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The beliefs and attitudes of UK registered osteopaths towards chronic pain and the management of chronic pain sufferers-A cross-sectional questionnaire based survey
Macdonald, M., Vaucher, P., & Esteves, J. E. (2018) · International journal of osteopathic medicine
Musculoskeletal pain and rehabilitationMedicine, History, and Philosophy
Cited by 37
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Impact of mobile phone-based technology to improve health, population and nutrition services in Rural Bangladesh: a study protocol
Uddin, J., Biswas, T., Adhikary, G., Ali, W., Alam, N., Palit, R., Uddin, N., Uddin, A., Khatun, F., & Bhuiya, A. (2017) · BMC Medical Informatics and Decision Making
Mobile Health and mHealth ApplicationsICT in Developing Communities
Cited by 37
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“You don't know what's wrong with you”: an exploration of cancer‐related experiences in people with an intellectual disability
Flynn, S., Hulbert‐Williams, N. J., Hulbert‐Williams, L., & Bramwell, R. (2016) · Psycho-Oncology
Patient-Provider Communication in HealthcareDown syndrome and intellectual disability research
Cited by 37
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Facilitated Communication—what harm it can do: Confessions of a former facilitator
Boynton, J. (2012) · Evidence-Based Communication Assessment and Intervention
Assistive Technology in Communication and MobilityDeception detection and forensic psychology
Cited by 37
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Self-Monitoring Utilization Patterns Among Individuals in an Incentivized Program for Healthy Behaviors
Kim, J. Y., Wineinger, N. E., Taitel, M., Radin, J. M., Akinbosoye, O., Jiang, J., Nikzad, N., Orr, G., Topol, E., & Steinhubl, S. (2016) · Journal of Medical Internet Research
Mobile Health and mHealth ApplicationsInnovative Human-Technology Interaction
Cited by 37
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Can mHealth improve timeliness and quality of health data collected and used by health extension workers in rural southern Ethiopia?
Mengesha, W., Steege, R., Kea, A. Z., Theobald, S., & Datiko, D. G. (2018) · Journal of Public Health
Mobile Health and mHealth ApplicationsICT in Developing Communities
Cited by 37
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Examining the effects of interprofessional problem-based clinical ethics: Findings from a mixed methods study
Chou, F. C., Kwan, C.-Y., & Hsin, D. H.-C. (2016) · Journal of Interprofessional Care
Interprofessional Education and CollaborationProblem and Project Based Learning
Cited by 37
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The qualculative dimension of healthcare data interoperability
Pine, K. H. (2019) · Health Informatics Journal
Medical Coding and Health InformationElectronic Health Records Systems
Cited by 37
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Optimizing best practice advisory alerts in electronic medical records with a multi-pronged strategy at a tertiary care hospital in Singapore
Ng, H. J. H., Kansal, A., Abdul Naseer, J. F., Hing, W. C., Goh, C. J. M., Poh, H., D’souza, J. L. A., Lim, E. L., & Tan, G. (2023) · JAMIA Open
Electronic Health Records SystemsHealthcare Technology and Patient Monitoring
Cited by 37
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Content Validity of the Credibility and Expectancy Questionnaire in a Pain Rehabilitation Setting
Mertens, V., Moser, A., Verbunt, J., Smeets, R., & Goossens, M. (2017) · Pain Practice
Musculoskeletal pain and rehabilitationHealth Education and Validation
Cited by 37
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E‐&mHealth interventions targeting nutrition, physical activity, sedentary behavior, and/or obesity among children: A scoping review of systematic reviews and meta‐analyses
Kracht, C. L., Hutchesson, M., Ahmed, M., Müller, A. M., Ashton, L. M., Brown, H. M., DeSmet, A., Maher, C. A., Mauch, C. E., Vandelanotte, C., et al. (2021) · Obesity Reviews
Mobile Health and mHealth ApplicationsObesity, Physical Activity, Diet
Cited by 37
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A multi-stakeholder approach to eHealth development: Promoting sustained healthy living among cardiovascular patients
Breeman, L. D., Keesman, M., Atsma, D. E., Chavannes, N. H., Janssen, V., van Gemert-Pijnen, L., Kemps, H., Kraaij, W., Rauwers, F., Reijnders, T., et al. (2021) · International Journal of Medical Informatics
Mobile Health and mHealth ApplicationsDigital Mental Health Interventions
Cited by 37
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Increasing the provision of preventive care by community healthcare services: a stepped wedge implementation trial
Wiggers, J., McElwaine, K., Freund, M., Campbell, L., Bowman, J., Wye, P., Wolfenden, L., Tremain, D., Barker, D., Slattery, C., et al. (2017) · Implementation Science
Health Policy Implementation ScienceHealth Promotion and Cardiovascular Prevention
Cited by 37
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Support vector wavelet adaptation for pathological voice assessment
Erfanian Saeedi, N., Almasganj, F., & Torabinejad, F. (2011) · Computers in Biology and Medicine
Voice and Speech DisordersSpeech and Audio Processing
Cited by 37
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Interventions Aimed at Enhancing Health Care Providers’ Behavior Toward the Prescription of Mobile Health Apps: Systematic Review
Alkhaldi, O., McMillan, B., Maddah, N., & Ainsworth, J. (2023) · JMIR mHealth and uHealth
Mobile Health and mHealth ApplicationsHealth, Technology, Consumer Behavior
Cited by 37
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Measuring personal recovery – psychometric properties of the Swedish Questionnaire about the Process of Recovery (QPR-Swe)
Argentzell, E., Hultqvist, J., Neil, S., & Eklund, M. (2017) · Nordic Journal of Psychiatry
Mental Health and Patient InvolvementPsychometric Methodologies and Testing
Cited by 37
- Verified · note
Effect of Geographical and Ethnic Variation on Dysphonia Severity Index: A Study of Indian Population
Jayakumar, T., & Savithri, S. R. (2012) · Journal of Voice
Voice and Speech DisordersPhonetics and Phonology Research
Cited by 37
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Performing an Informatics Consult: Methods and Challenges
Schuler, A., Callahan, A., Jung, K., & Shah, N. H. (2018) · Journal of the American College of Radiology
Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education
Cited by 37
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Increasing knowledge of mental illness through secondary research of electronic health records: opportunities and challenges
Spiranovic, C., Matthews, A., Scanlan, J., & Kirkby, K. C. (2016) · Advances in Mental Health
Electronic Health Records SystemsMedical Coding and Health Information
Cited by 37
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Individual and organizational interventions to reduce burnout in resident physicians: a systematic review and meta-analysis
Kiratipaisarl, W., Surawattanasakul, V., & Sirikul, W. (2024) · BMC Medical Education
Healthcare professionals’ stress and burnoutStress and Burnout Research
Cited by 37
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A Clinically Integrated mHealth App and Practice Model for Collecting Patient-Reported Outcomes between Visits for Asthma Patients: Implementation and Feasibility
Rudin, R. S., Fanta, C. H., Qureshi, N., Duffy, E., Edelen, M. O., Dalal, A. K., & Bates, D. W. (2019) · Applied Clinical Informatics
Mobile Health and mHealth ApplicationsAsthma and respiratory diseases
Cited by 37
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Data analysis in health and big data: A machine learning medical diagnosis model based on patients’ complaints
Silahtaroğlu, G., & Yılmaztürk, N. (2021) · Communications in Statistics - Theory and Methods
Artificial Intelligence in HealthcareMachine Learning in Healthcare
Cited by 37
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History of Cochlear Implants and Auditory Brainstem Implants
Møller, A. R. (2006) · Advances in Oto-Rhino-Laryngology
Hearing Loss and RehabilitationHearing Impairment and Communication
Cited by 37
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Opening the Market for Lower Cost Hearing Aids: Regulatory Change Can Improve the Health of Older Americans
Blustein, J., & Weinstein, B. E. (2016) · American Journal of Public Health
Hearing Loss and RehabilitationEar Surgery and Otitis Media
Cited by 37
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