I’ve observed that the AI analysis tends to select the most "precise" narrow rubrics while ignoring broader, more general ones. While this seems accurate on the surface, it is often ineffective in clinical practice.
Underdeveloped Rubrics: Very specific, narrow rubrics are often incomplete. As our knowledge grows, many more remedies will likely be added to them.
Risk of Exclusion: Relying solely on narrow rubrics risks missing the correct remedy if it hasn't been recorded in that specific sub-rubric yet.
In real-world practice, we use narrow rubrics for reference, but we base our repertorization on broader rubrics to ensure a reliable and inclusive analysis. I suggest adjusting the AI to prioritize these well-established, broader rubrics or at least include them alongside the narrow ones to avoid missing essential remedies.
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About 2 months ago

Sergiy Druganov
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About 2 months ago

Sergiy Druganov
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