Balancing act: the complex role of artificial intelligence in addressing burnout and healthcare workforce dynamics

Dermatologist-level classification of skin cancer with deep neural networks

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Predicting the future - big data, machine learning, and clinical medicine

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AI in health and medicine

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Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum

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Tethered to the EHR: primary care physician workload assessment using EHR event log data and time-motion observations

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The role of explainability in creating trustworthy artificial intelligence for health care: A comprehensive survey of the terminology, design choices, and evaluation strategies

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Associations of physician burnout with career engagement and quality of patient care: systematic review and meta-analysis

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Sources of bias in artificial intelligence that perpetuate healthcare disparities—A global review

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Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer

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Drawbacks of artificial intelligence and their potential solutions in the healthcare sector.

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Artificial intelligence in medical education: a cross-sectional needs assessment

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The impact of automation and artificial intelligence on worker well-being

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The impact of artificial intelligence on the person-centred, doctor-patient relationship: some problems and solutions

Sauerbrei, A., Kerasidou, A., Lucivero, F., & Hallowell, N. (2023) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-023-02162-y · Cited by 322 · see citing works

Electronic Health Record Usability Issues and Potential Contribution to Patient Harm

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Artificial Intelligence and Patient-Centered Decision-Making

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Challenges of developing a digital scribe to reduce clinical documentation burden

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Large Language Models and User Trust: Consequence of Self-Referential Learning Loop and the Deskilling of Health Care Professionals

Choudhury, A., & Chaudhry, Z. (2024) · Journal of Medical Internet Research · doi:10.2196/56764 · Cited by 159 · see citing works

The digital scribe in clinical practice: a scoping review and research agenda

van Buchem, M. M., Boosman, H., Bauer, M. P., Kant, I. M. J., Cammel, S. A., & Steyerberg, E. W. (2021) · npj Digital Medicine · doi:10.1038/s41746-021-00432-5 · Cited by 152 · see citing works

How can artificial intelligence decrease cognitive and work burden for front line practitioners?

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Utopia versus dystopia: Professional perspectives on the impact of healthcare artificial intelligence on clinical roles and skills

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Physician Burnout and Medical Errors: Exploring the Relationship, Cost, and Solutions

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Prevalence and Sources of Duplicate Information in the Electronic Medical Record

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The Impact of a Machine Learning Early Warning Score on Hospital Mortality: A Multicenter Clinical Intervention Trial

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Can Natural Language Processing and Artificial Intelligence Automate The Generation of Billing Codes From Operative Note Dictations?

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A Retrospective Analysis of Provider-to-Patient Secure Messages: How Much Are They Increasing, Who Is Doing the Work, and Is the Work Happening After Hours?

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A patient-centered digital scribe for automatic medical documentation

Wang, J., Lavender, M., Hoque, M. E., Brophy, P. D., & Kautz, H. (2021) · JAMIA Open · doi:10.1093/jamiaopen/ooab003 · Cited by 48 · see citing works

Generative artificial intelligence responses to patient messages in the electronic health record: early lessons learned

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Saving Billions Of Dollars—And Physicians’ Time—By Streamlining Billing Practices

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人工智能醫學應用的前景與風險

Sparrow, R., & Hatherley, J. J. (2019) · International Journal of Chinese & Comparative Philosophy of Medicine · doi:10.24112/ijccpm.171678 · Cited by 35 · see citing works

Implementing Digital Scribes to Reduce Electronic Health Record Documentation Burden Among Cancer Care Clinicians: A Mixed-Methods Pilot Study

Nguyen, O. T., Turner, K. L., Charles, D., Sprow, O., Perkins, R. M., Hong, Y., Islam, J. Y., Khanna, N., Tabriz, A. A., Johnson, J. E. H., et al. (2023) · JCO Clinical Cancer Informatics · doi:10.1200/cci.22.00166 · Cited by 32 · see citing works

The potential for leveraging machine learning to filter medication alerts

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Understanding Disparities in Healthcare: Implications for Health Systems and AI Applications

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Exploring optimal granularity for extractive summarization of unstructured health records: Analysis of the largest multi-institutional archive of health records in Japan

Ando, K., Okumura, T., Komachi, M., Horiguchi, H., & Matsumoto, Y. (2022) · PLOS Digital Health · doi:10.1371/journal.pdig.0000099 · Cited by 7 · see citing works

Artificial intelligence in nursing: an integrative review of clinical and operational impacts

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MedAgentBench: a virtual EHR environment to benchmark medical LLM agents

Jiang, Y., Black, K. C., Geng, G., Park, D., Zou, J., Ng, A. Y., & Chen, J. H. (2025) · NEJM AI · doi:10.1056/aidbp2500144 · Cited by 66 · see citing works

Real-World Evidence Synthesis of Digital Scribes Using Ambient Listening and Generative Artificial Intelligence for Clinician Documentation Workflows: Rapid Review

Kanaparthy, N. S., Villuendas-Rey, Y., Bakare, T., Diao, Z., Iscoe, M., Loza, A., Wright, D., Safranek, C., Faustino, I. V., Brackett, A., et al. (2025) · JMIR AI · doi:10.2196/76743 · Cited by 57 · see citing works

Healthcare 5.0-Driven Clinical Intelligence: The Learn-Predict-Monitor-Detect-Correct Framework for Systematic Artificial Intelligence Integration in Critical Care

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The Effect of Workers's Burnout Resilience on Burnout in Community Welfare Centers for the Elderly

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The Need for a Uniform Use of the Construct of Burnout

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An Exploratory Study of Resident Burnout and Wellness

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“Diagnosing” burnout among healthcare professionals: Can we find consensus?

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