Most cited health professions papers
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Identifying and addressing barriers to implementing core electronic health record use metrics for ambulatory care: virtual consensus conference proceedings
Levy, D. R., Moy, A. J., Apathy, N., Adler-Milstein, J., Rotenstein, L., Nath, B., Rosenbloom, S. T., Kannampallil, T., Mishuris, R. G., Alexanian, A., et al. (2023) · Applied Clinical Informatics
Electronic Health Records SystemsMedical Coding and Health Information
Cited by 6
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PERCEPÇÃO DE USUÁRIOS COM DIABETES ACERCA DA ASSISTÊNCIA RECEBIDA NA ATENÇÃO PRIMÁRIA À SAÚDE
Santos, A. D. L., Andrade, C. J. D. N., Dos Santos, M. S., Da Silva Neto, M. F., & Porto, T. D. (2018) · Revista de APS
Health, Nursing, Elderly CareDiabetes Management and Education
Cited by 6
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Perceived Search Overload, Generative AI Credibility, and Comparative Usefulness: A Channel Complementarity Approach to Health Information Seeking
Lim, J. S., & Hong, N. (2025) · Health & New Media Research
Health Literacy and Information AccessibilityHealth, Technology, Consumer Behavior
Cited by 6
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Biomechanical Movement Synergies
Winter, D. A. (2009) · Biomechanics and Motor Control of Human Movement
Balance, Gait, and Falls PreventionMotor Control and Adaptation
Cited by 6
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SHAP-Based Identification of Potential Acoustic Biomarkers in Patients with Post-Thyroidectomy Voice Disorder
Celepli, S., Bigat, I., Karakas, B., Tezcan, H. M., Yar, M. D., Celepli, P., Aksahin, M. F., Hancerliogullari, O., Yilmaz, Y. F., & Erogul, O. (2025) · Diagnostics
Voice and Speech DisordersThyroid and Parathyroid Surgery
Cited by 6
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Quality Improvement in Health Care: Opportunities and Responsibilities for Pharmacists
Ross, L. A. (2013) · Annals of Pharmacotherapy
Pharmacy and Medical PracticesHealthcare Quality and Management
Cited by 6
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A Case Study of a Point-of-Care Electronic Medical Record [SABER] in Totonicapán, Guatemala: Benefits, Challenges, and Future Directions
Aldredge, N. H., Rodriguez, D., González, J., & Burt, D. R. (2020) · Annals of Global Health
Electronic Health Records SystemsNursing Diagnosis and Documentation
Cited by 6
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Outcomes of the Active in My Home (AiMH) intervention for people with psychiatric disabilities in supported housing: A longitudinal pilot and feasibility study
Eklund, M., Argentzell, E., Bejerholm, U., Brunt, D., & Tjörnstrand, C. (2020) · British Journal of Occupational Therapy
Occupational Therapy Practice and ResearchPsychiatric care and mental health services
Cited by 6
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Reproducible Machine Learning-Based Voice Pathology Detection: Introducing the Pitch Difference Feature
Vrba, J., Steinbach, J., Jirsa, T., Verde, L., De Fazio, R., Zeng, Y., Ichiji, K., Hájek, L., Sedláková, Z., Urbániová, Z., et al. (2025) · Journal of Voice
Voice and Speech DisordersArtificial Intelligence in Healthcare
Cited by 6
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Depression/Bipolar Peer Support Groups: Perceptions of Group Members about Effectiveness and Differences from Other Mental Health Services
Behler, J., Daniels, A., Scott, J., & Mehl-Madrona, L. (2017) · The Qualitative Report
Mental Health and Patient InvolvementPsychiatric care and mental health services
Cited by 6
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Designing Disease-Specific mHealth Apps for Clinical Value
Keshavjee, K., Johnston-Jewell, D., Lee, B., & Kyba, R. (2022) · Smart and Pervasive Healthcare
Mobile Health and mHealth ApplicationsDigital Mental Health Interventions
Cited by 6
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Efficacy of biofeedback in rehabilitation of musculoskeletal disorders: a systematic review
de la Barra Ortiz, H. A., Matamala, A. M., Inostroza, F. L., Araya, C. L., & Mondaca, V. N. (2022) · Advances in Rehabilitation
Musculoskeletal pain and rehabilitationMuscle activation and electromyography studies
Cited by 6
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Harnessing machine learning in diagnosing complex hoarseness cases
Roitman, A., Edelstain, Y., Katzir, C., Ofir, H., Peleg, N., Doweck, I., & Yanir, Y. (2025) · American Journal of Otolaryngology
Voice and Speech DisordersArtificial Intelligence in Healthcare
Cited by 6
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The psychometric properties of the German version of the new Worker Role Interview (WRI-G 10.0) in people with musculoskeletal disorders
Köller, B., Niedermann, K., Klipstein, A., & Haugboelle, J. (2011) · Work
Medical Practices and RehabilitationMusculoskeletal pain and rehabilitation
Cited by 6
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Association between risk factors and major cancers: explainable machine learning approach
Huang, X., Ren, S., Mao, X., Chen, S., Chen, E., He, Y., & Jiang, Y. (2025) · JMIR Cancer
Artificial Intelligence in HealthcareMachine Learning in Healthcare
Cited by 6
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Twelve tips for novice academic staff supporting medical students in distress
Hodgson, J. C., & Bretherton, R. (2021) · Medical Teacher
Healthcare professionals’ stress and burnoutInnovations in Medical Education
Cited by 6
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Does splitting a tablet obtain an accurate dose? A systematic review and meta‐ analysis
Chaudhri, K., Kearney, M., Di Tanna, G. L., Gnanenthiran, S. R., Day, R. O., Rodgers, A., & Atkins, E. R. (2022) · Journal of Pharmacy Practice and Research
Pharmacy and Medical PracticesPatient Safety and Medication Errors
Cited by 6
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Automated decision support for community mental health services using national electronic health records: qualitative implementation case study
van Kasteren, Y., Strobel, J., Bastiampillai, T., Linedale, E., & Bidargaddi, N. (2022) · JMIR Human Factors
Electronic Health Records SystemsHealth Policy Implementation Science
Cited by 6
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Assessment of parents induced self-medication in paediatric population in rural and urban areas of Ahmedabad, Gujarat
Patel, S. J., & Dumra, G. H. (2020) · International Journal of Basic & Clinical Pharmacology
Pharmacy and Medical PracticesAntibiotic Use and Resistance
Cited by 6
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Commentary on Harder et al. (2020): Ensuring the sustainability of mHealth in low‐ and middle‐income countries—how do we cure ‘pilotitis’?
O'Donnell, A. (2020) · Addiction
Mobile Health and mHealth ApplicationsDigital Mental Health Interventions
Cited by 6
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A Speech-to-Text Interface for MammoClass
Rocha, R. S., Ferreira, P., Dutra, I., Correia, R., Salvini, R., & Burnside, E. (2016) · 2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS)
Artificial Intelligence in HealthcareAI in cancer detection
Cited by 6
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A mobile Polycystic ovarian syndrome management and awareness system for Gulf countries: System architecture
Alotaibi, M., & Alsinan, A. (2016) · 2016 SAI Computing Conference (SAI)
Mobile Health and mHealth ApplicationsOvarian function and disorders
Cited by 6
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Student Stress Management and Wellness Programs among Colleges of Pharmacy
Arif, S., Moran, K., Quinones-Boex, A., & El-Ibiary, S. (2021) · INNOVATIONS in pharmacy
Healthcare professionals’ stress and burnoutStudent Stress and Coping
Cited by 6
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Research on automatic assessment of the severity of unilateral vocal cord paralysis based on Mel-spectrogram and convolutional neural networks
Ma, S., Liao, W., Zhang, Y., Zhang, F., Wang, Y., Lu, Z., Zhao, C., Yu, J., & He, P. (2025) · BioMedical Engineering OnLine
Voice and Speech DisordersPhonocardiography and Auscultation Techniques
Cited by 6
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