Medical Economics January 19, 2026
Key Takeaways
- AI tools’ effectiveness is limited by unstructured, inconsistent clinical data, leading to potential errors and inefficiencies in healthcare settings.
- Universal medical coders can convert free-text documentation into structured data, enhancing clinical decision-making and AI tool performance.
- Improving documentation workflows and evaluating AI solutions based on data quality maintenance are crucial for safe and effective AI adoption.
- Strengthening data foundations can improve AI tools’ performance, protect patient safety, and reduce physicians’ documentation burden.
By strengthening that foundation first, emerging technologies can operate safely and consistently, delivering meaningful benefits to practices and patients.
Physician practices are being inundated with claims from AI tool developers that promise easier access to relevant clinical information and automated documentation.
Physicians and practice...
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