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Artificial Intelligence-Assisted Scribing for Chronic Pain Care: A Narrative Review.
Connor Yost1, Oranicha Jumreornvong2, Jamal J Hasoon3
1Department of Internal Medicine, Crieghton Medical School, Phoenix, AZ, USA. connordavidyost@gmail.com.
Current Pain and Headache Reports
|December 15, 2025
Summary
Ambient artificial intelligence (AI) scribes can improve medical documentation accuracy and efficiency, reducing physician burnout. However, challenges related to accuracy, privacy, and ethics must be addressed for successful implementation in healthcare.
Area of Science:
- Healthcare Informatics
- Artificial Intelligence in Medicine
- Clinical Documentation
Background:
- Medical documentation is crucial for quality care, legal protection, and reimbursement.
- Current documentation practices are time-consuming, burdening physicians and leading to burnout.
- Ambient AI scribes offer a potential solution by automating documentation through patient-doctor interaction analysis.
Purpose of the Study:
- To review the capabilities and implications of ambient AI-powered scribes in medical documentation.
- To assess the impact of AI scribes on physician workload and patient care quality.
- To identify challenges and ethical considerations associated with AI-assisted documentation.
Main Methods:
- Review of studies on ambient AI scribes in clinical settings.
- Analysis of AI scribe performance metrics (completeness, conciseness, accuracy).
- Evaluation of reported benefits (time reduction, cognitive load) and challenges (errors, privacy).
Main Results:
- Ambient AI scribes demonstrate higher scores in completeness, conciseness, and accuracy compared to traditional methods.
- AI scribes can reduce documentation time and cognitive workload, enhancing the patient-physician experience.
- Key challenges include potential errors, patient privacy risks, and ethical concerns.
Conclusions:
- AI-assisted documentation shows promise in addressing administrative overload and physician burnout.
- Realizing AI's potential requires overcoming challenges in accuracy, privacy, and establishing trust.
- Successful integration necessitates balancing innovation with safeguards to ensure patient safety and ethical standards.
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