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Artificial intelligence and physician burnout: A productivity paradox
David Alexander Goodson1, Brittany Garcia1, Michael Hogarth2
1Department of Internal Medicine University of California, Davis Sacramento California USA.
It is too early to claim that artificial intelligence (AI) tools will reduce physician burnout. Rigorous evaluation is needed before AI restructures medical work or patient care.
Area of Science:
- Healthcare Technology
- Medical Informatics
- Physician Well-being
Background:
- Physician burnout is a significant issue in American healthcare, partly attributed to Electronic Health Record (EHR) systems.
- Artificial intelligence (AI) technologies, including AI scribes, are proposed to alleviate burnout by improving EHR utilization and documentation efficiency.
Purpose of the Study:
- To critically examine existing research on AI scribes in clinical settings.
- To anticipate the impact of AI on provider burnout based on healthcare delivery insights and EHR experiences.
Main Methods:
- Review of current studies on AI scribes within clinical contexts.
- Analysis of healthcare delivery systems and EHR functionalities.
- Anticipation of AI's impact on provider burnout.
Main Results:
- Current evidence is insufficient to conclude that AI tools will definitively reduce physician burnout.
- Integrating AI scribes into Learning Health Systems presents challenges for safe adoption, impacting the healthcare workforce and patient care.
Conclusions:
- The assertion that AI-enabled healthcare technologies will improve care and reduce burnout is not yet proven.
- Further rigorous evaluation and high standards of evidence are necessary before widespread implementation of AI in healthcare.
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