Check health professions papers: citations, claims and retractions

Conducting an efficient proactive risk assessment prior to CPOE implementation in an intensive care unit

Hundt, A. S., Adams, J. A., Schmid, J. A., Musser, L. M., Walker, J. M., Wetterneck, T. B., Douglas, S. V., Paris, B. L., & Carayon, P. (2013) · International Journal of Medical Informatics

Electronic Health Records SystemsPatient Safety and Medication Errors

Cited by 40

Implementation and optimization of automated dispensing cabinet technology

McCarthy, B. C., & Ferker, M. (2016) · American Journal of Health-System Pharmacy

Pharmacy and Medical PracticesSupply Chain and Inventory Management

Cited by 40

The PAediatric Risk Assessment (PARA) Mobile App to Reduce Postdischarge Child Mortality: Design, Usability, and Feasibility for Health Care Workers in Uganda

English, L. L., Dunsmuir, D., Kumbakumba, E., Ansermino, J. M., Larson, C. P., Lester, R., Barigye, C., Ndamira, A., Kabakyenga, J., & Wiens, M. O. (2016) · JMIR mHealth and uHealth

Mobile Health and mHealth ApplicationsUsability and User Interface Design

Cited by 40

Lessons Learned from Pilot Site Implementation of an Ambulatory Electronic Health Record

Fullerton, C., Aponte, P., Hopkins, R., Bragg, D., & Ballard, D. J. (2006) · Baylor University Medical Center Proceedings

Electronic Health Records SystemsERP Systems Implementation and Impact

Cited by 40

Building therapeutic relationships: choosing words that put people first

Dickinson, J. K., & Maryniuk, M. D. (2017) · Clinical Diabetes

Patient-Provider Communication in HealthcareDiabetes Management and Education

Cited by 40

The role of laboratory information systems in healthcare quality improvement

Harrison, J. P., & McDowell, G. M. (2008) · International Journal of Health Care Quality Assurance

Electronic Health Records SystemsClinical Laboratory Practices and Quality Control

Cited by 40

Implementing a peer support network to promote compassion without fatigue

Wahl, C., Hultquist, T. B., Struwe, L., & Moore, J. (2018) · JONA: The Journal of Nursing Administration

Healthcare professionals’ stress and burnoutOccupational Health and Burnout

Cited by 40

Improved standardization and potential for shortened time to results with BD Kiestra™ total laboratory automation of early urine cultures: A prospective comparison with manual processing

Graham, M., Tilson, L., Streitberg, R., Hamblin, J., & Korman, T. M. (2016) · Diagnostic Microbiology and Infectious Disease

Clinical Laboratory Practices and Quality ControlBacterial Identification and Susceptibility Testing

Cited by 40

A pilot study of mobile phone-based therapy for obese patients

Morak, J., Schindler, K., Goerzer, E., Kastner, P., Toplak, H., Ludvik, B., & Schreier, G. (2008) · Journal of Telemedicine and Telecare

Mobile Health and mHealth ApplicationsTelemedicine and Telehealth Implementation

Cited by 40

Neurosurgery Resident Wellness and Recovery from Burnout: A 39-Year Single-Institution Experience

Tang, O. Y., Dunn, K. A., Yoon, J. S., Ponce, F. A., Sonntag, V. K. H., & Lawton, M. T. (2020) · World Neurosurgery

Healthcare professionals’ stress and burnoutStress and Burnout Research

Cited by 40

Prevalence and Predictability of Low-Yield Inpatient Laboratory Diagnostic Tests

Xu, S., Hom, J., Balasubramanian, S., Schroeder, L. F., Najafi, N., Roy, S., & Chen, J. H. (2019) · JAMA Network Open

Healthcare cost, quality, practicesClinical Laboratory Practices and Quality Control

Cited by 40

A qualitative evaluation of a brief multicomponent intervention provided by lay health workers for women affected by adversity in urban Kenya

van't Hof, E., Dawson, K. S., Schafer, A., Chiumento, A., Harper Shehadeh, M., Sijbrandij, M., Bryant, R. A., Anjuri, D., Koyiet, P., Ndogoni, L., et al. (2018) · Global Mental Health

Health Policy Implementation ScienceMental Health Treatment and Access

Cited by 40

Breaking Barriers: Mobile Health Interventions for Cardiovascular Disease

Klimis, H., Thakkar, J., & Chow, C. K. (2018) · Canadian Journal of Cardiology

Mobile Health and mHealth ApplicationsHealth Promotion and Cardiovascular Prevention

Cited by 40

Clinical research informatics: a conceptual perspective

Kahn, M. G., & Weng, C. (2012) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsResearch Data Management Practices

Cited by 40

Multidisciplinary allocation of chronic pain treatment: effects and cognitive-behavioural predictors of outcome

Samwel, H. J. A., Kraaimaat, F. W., Crul, B. J. P., van Dongen, R. D., & Evers, A. W. M. (2009) · British Journal of Health Psychology

Musculoskeletal pain and rehabilitationPain Management and Treatment

Cited by 40

What are the priming and ceiling effects of one experience measure on another?

Salman, A. A., Kopp, B. J., Thomas, J. E., Ring, D., & Fatehi, A. (2020) · Journal of Patient Experience

Patient Satisfaction in HealthcarePsychometric Methodologies and Testing

Cited by 40

Effect of electronic patient record use on mortality in End Stage Renal Disease, a model chronic disease: retrospective analysis of 9 years of prospectively collected data

Pollak, V. E., & Lorch, J. A. (2007) · BMC Medical Informatics and Decision Making

Electronic Health Records SystemsDialysis and Renal Disease Management

Cited by 40

Observations on blood glucose and insulin determinations

Lind, T., de Groot, H. A. V. C., Brown, G., & Cheyne, G. A. (1972) · BMJ

Clinical Laboratory Practices and Quality ControlDiabetes Management and Research

Cited by 40

A pilot-study to identify the feasibility of an Internet-based coaching programme for changing the vascular risk profile of high-risk patients

Goessens, B. M. B., Visseren, F. L. J., de Nooijer, J., van den Borne, H. W., Algra, A., Wierdsma, J., & van der Graaf, Y. (2008) · Patient Education and Counseling

Mobile Health and mHealth ApplicationsTelemedicine and Telehealth Implementation

Cited by 40

Psychological interventions for the management of chronic pain: A review of current evidence

Kaiser, R. S., Mooreville, M., & Kannan, K. (2015) · Current Pain and Headache Reports

Musculoskeletal pain and rehabilitationPain Management and Treatment

Cited by 40

Analytical performance specifications for EQA schemes – need for harmonisation

Dallas Jones, G. R. (2015) · Clinical Chemistry and Laboratory Medicine (CCLM)

Clinical Laboratory Practices and Quality ControlScientific Measurement and Uncertainty Evaluation

Cited by 40

Swallow segmentation with artificial neural networks and multi-sensor fusion

Lee, J., Steele, C. M., & Chau, T. (2009) · Medical Engineering & Physics

Dysphagia Assessment and ManagementVoice and Speech Disorders

Cited by 40

Predicting the Development of Type 2 Diabetes in a Large Australian Cohort Using Machine-Learning Techniques: Longitudinal Survey Study

Zhang, L., Shang, X., Sreedharan, S., Yan, X., Liu, J., Keel, S., Wu, J., Peng, W., & He, M. (2020) · JMIR Medical Informatics

Artificial Intelligence in HealthcareDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 40

Roles of Anxiety and Depression in Predicting Cardiovascular Disease Among Patients With Type 2 Diabetes Mellitus: A Machine Learning Approach

Chu, H., Chen, L., Yang, X., Qiu, X., Qiao, Z., Song, X., Zhao, E., Zhou, J., Zhang, W., Mehmood, A., et al. (2021) · Frontiers in Psychology

Artificial Intelligence in HealthcareCardiac Health and Mental Health

Cited by 40