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result = evaluator.evaluate(
    eval_templates="clinically_inappropriate_tone", 
    inputs={
        "output": "You can try meditating for a few minutes each night to help improve your sleep."
    },
    model_name="turing_flash"
)

print(result.eval_results[0].metrics[0].value)
print(result.eval_results[0].reason)
Input
Required InputTypeDescription
inputstringThe text content to evaluate for clinical appropriateness
Output
FieldDescription
ResultReturns Passed if the tone is clinically appropriate, Failed if the tone is clinically inappropriate
ReasonProvides a detailed explanation of why the text was classified as clinically appropriate or inappropriate

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What to do If you get Undesired Results

If the content is detected as clinically inappropriate but appropriateness is required:
  • Use professional, objective language
  • Avoid casual phrases, jokes, or slang
  • Maintain a respectful, supportive tone
  • Focus on clear, factual information
  • Use empathetic but professional phrasing
  • Avoid minimizing health concerns or symptoms
  • Use appropriate medical terminology when relevant

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Comparing Clinically Inappropriate Tone with Similar Evals

  • Tone: While Clinically Inappropriate Tone focuses specifically on appropriateness in healthcare contexts, Tone evaluation assesses the broader emotional context and sentiment.
  • Is Informal Tone: Clinically Inappropriate Tone evaluates suitability for medical or healthcare settings, whereas Is Informal Tone focuses on detecting casual language usage in general contexts.
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