KevinMD May 11, 2025
As health care embraces digital transformation, one truth is clear: AI’s success depends on data quality. No matter how advanced the algorithms, poor clinical data limits their effectiveness.
AI in health care: Promise meets reality
The health care technology landscape is abuzz with large language models (LLMs) and conversational AI applications that show remarkable capabilities in synthesizing patient information and streamlining clinical workflows. Clinicians are hopeful that these tools can reduce documentation burden and enhance decision support.
However, as implementations multiply across health systems, a fundamental challenge is becoming increasingly apparent: AI-assisted documentation tools can produce impressive outputs, but these are only as reliable as the data fed into these systems. This reality is becoming a central concern for health...
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