Check health professions papers: citations, claims and retractions

Responsible development of clinical speech AI: Bridging the gap between clinical research and technology

Berisha, V., & Liss, J. M. (2024) · npj Digital Medicine

Voice and Speech DisordersArtificial Intelligence in Healthcare

Cited by 41

Software-related challenges in Swedish healthcare through the lens of incident reports: a desktop study

Rahman Jabin, M. S., & Pan, D. (2023) · DIGITAL HEALTH

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 41

Process evaluation of a district mental healthcare plan in Nepal: a mixed-methods case study

Luitel, N. P., Breuer, E., Adhikari, A., Kohrt, B. A., Lund, C., Komproe, I. H., & Jordans, M. J. D. (2020) · BJPsych Open

Health Policy Implementation ScienceMental Health Treatment and Access

Cited by 41

Feasibility of a Digital Health Intervention to Improve Diet Quality Among Women With High Blood Pressure: Randomized Controlled Feasibility Trial

Steinberg, D. M., Kay, M. C., Svetkey, L. P., Askew, S., Christy, J., Burroughs, J., Ahmed, H., & Bennett, G. G. (2020) · JMIR mHealth and uHealth

Mobile Health and mHealth ApplicationsBlood Pressure and Hypertension Studies

Cited by 41

Supervision of community peer counsellors for infant feeding in South Africa: an exploratory qualitative study

Daniels, K., Nor, B., Jackson, D., Ekström, E.-C., & Doherty, T. (2010) · Human Resources for Health

Health Policy Implementation ScienceHIV/AIDS Research and Interventions

Cited by 41

Benefits of a self-myofascial release program on health-related quality of life in people with fibromyalgia: a randomized controlled trial

Ceca, D., Elvira, L., Guzmán, J. F., & Pablos, A. (2017) · The Journal of Sports Medicine and Physical Fitness

Myofascial pain diagnosis and treatmentFibromyalgia and Chronic Fatigue Syndrome Research

Cited by 41

Studies comparing surrogate measures for head posture in individuals with and without neck pain

Silva, A. G., Sharples, P., & Johnson, M. I. (2010) · Physical Therapy Reviews

Musculoskeletal pain and rehabilitationErgonomics and Musculoskeletal Disorders

Cited by 41

Explainable Machine Learning for Efficient Diabetes Prediction Using Hyperparameter Tuning, SHAP Analysis, Partial Dependency, and LIME

Islam, M. M., Rifat, H. R., Shahid, M. S. B., Akhter, A., Uddin, M. A., & Uddin, K. M. M. (2025) · Engineering Reports

Artificial Intelligence in HealthcareExplainable Artificial Intelligence (XAI)

Cited by 41

From Fear to Hopelessness: The Buffering Effect of Patient-Centered Communication in a Sample of Oncological Patients during COVID-19

Rossi, A. A., Marconi, M., Taccini, F., Verusio, C., & Mannarini, S. (2021) · Behavioral Sciences

Patient-Provider Communication in HealthcareCOVID-19 and Mental Health

Cited by 41

Developing a measure of provider adherence to improve the implementation of behavioral health services in primary care: a Delphi study

Beehler, G. P., Funderburk, J. S., Possemato, K., & Vair, C. L. (2013) · Implementation Science

Health Policy Implementation ScienceInterprofessional Education and Collaboration

Cited by 41

A hybrid emotion-focused exposure treatment for chronic pain: A feasibility study

Linton, S. J., & Fruzzetti, A. E. (2014) · Scandinavian Journal of Pain

Musculoskeletal pain and rehabilitationAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 41

Cranky comments: detecting clinical decision support malfunctions through free-text override reasons

Aaron, S., McEvoy, D. S., Ray, S., Hickman, T.-T. T., & Wright, A. (2019) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education

Cited by 41

Mapping the role of digital health technologies in the case detection, management, and treatment outcomes of neglected tropical diseases: a scoping review

Tilahun, B., Gashu, K. D., Mekonnen, Z. A., Endehabtu, B. F., & Angaw, D. A. (2021) · Tropical Medicine and Health

Mobile Health and mHealth ApplicationsTelemedicine and Telehealth Implementation

Cited by 41

An AI-Powered Lifestyle Intervention vs Human Coaching in the Diabetes Prevention Program: A Randomized Clinical Trial

Mathioudakis, N., Lalani, B., Abusamaan, M. S., Alderfer, M., Alver, D., Dobs, A., Kane, B., McGready, J., Riekert, K., Ringham, B., et al. (2025) · JAMA

Mobile Health and mHealth ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 41

Clinician collaboration to improve clinical decision support: the Clickbusters initiative

McCoy, A. B., Russo, E. M., Johnson, K. B., Addison, B., Patel, N., Wanderer, J. P., Mize, D. E., Jackson, J. G., Reese, T. J., Littlejohn, S., et al. (2022) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsHealthcare Technology and Patient Monitoring

Cited by 41

A Smartphone App to Foster Power in the Everyday Management of Living With Schizophrenia: Qualitative Analysis of Young Adults’ Perspectives

Terp, M., Jørgensen, R., Laursen, B. S., Mainz, J., & Bjørnes, C. D. (2018) · JMIR Mental Health

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 41

Responding to the mental health and psychosocial needs of the people of Sri Lanka in disasters

Mahoney, J., Chandra, V., Gambheera, H., Silva, T. D., & Suveendran, T. (2006) · International Review of Psychiatry

Disaster Response and ManagementPosttraumatic Stress Disorder Research

Cited by 41

Perceived mHealth barriers and benefits for home-based HIV testing and counseling and other care: Qualitative findings from health officials, community health workers, and persons living with HIV in South Africa

van Heerden, A., Harris, D. M., van Rooyen, H., Barnabas, R. V., Ramanathan, N., Ngcobo, N., Mpiyakhe, Z., & Comulada, W. S. (2017) · Social Science & Medicine

Mobile Health and mHealth ApplicationsTelemedicine and Telehealth Implementation

Cited by 41

Describing qualitative research undertaken with randomised controlled trials in grant proposals: a documentary analysis

Drabble, S. J., O’Cathain, A., Thomas, K. J., Rudolph, A., & Hewison, J. (2014) · BMC Medical Research Methodology

Health Policy Implementation ScienceQualitative Research Methods and Applications

Cited by 41

The effects of word prediction on communication rate for AAC

Trnka, K., Yarrington, D., McCaw, J., McCoy, K. F., & Pennington, C. (2007) · Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers on XX - NAACL '07

Assistive Technology in Communication and MobilityGaze Tracking and Assistive Technology

Cited by 41

Provider and pharmacist responses to warfarin drug-drug interaction alerts: a study of healthcare downstream of CPOE alerts

Miller, A. M., Boro, M. S., Korman, N. E., & Davoren, J. B. (2011) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsPharmaceutical Practices and Patient Outcomes

Cited by 41

Using health information technology to bring social determinants of health into primary care: a conceptual framework to guide research

Cottrell, E. K., Gold, R., Likumahuwa, S., Angier, H., Huguet, N., Cohen, D. J., Clark, K. D., Gottlieb, L. M., & DeVoe, J. E. (2018) · Journal of Health Care for the Poor and Underserved

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 41

Elimination of routine testing in patients undergoing cataract surgery allows substantial savings in laboratory costs. A brief report

Imasogie, N., Wong, D. T., Luk, K., & Chung, F. (2003) · Canadian Journal of Anesthesia/Journal canadien d'anesthésie

Healthcare cost, quality, practicesHealthcare Operations and Scheduling Optimization

Cited by 41

Temporal trends of hemoglobin A1c testing

Pivovarov, R., Albers, D. J., Hripcsak, G., Sepulveda, J. L., & Elhadad, N. (2014) · Journal of the American Medical Informatics Association

Healthcare cost, quality, practicesClinical Laboratory Practices and Quality Control

Cited by 41