Detect post-treatment concern in text message
Judges: one patient SMS. Questions: noul:possible_adverse_reaction - does the message describe a symptom after a treatment? ; choice:urgency - routine|same_day_callback|unsure. Action: any true flips message to top of nurse callback queue; never auto-replies clinically.
STop tier. Meets A, and the payoff is major with high confidence.5.21
Key facts
- Vertical
- Healthcare & dental
- Function
- Health admin
- Status
- Idea
- Volume
- routine
- Value
- major
- Risk
- high
- Evidence
- —
- Flags
- human-review
Build this with a classifier
Define a typed decision with a bounded answer, then evaluate it on examples.
{
"decision_type": "yes_no",
"question": "Does this input match the decision in “Detect post-treatment concern in text message”?",
"input": "<input to classify>",
"output": "yes | no"
}Related use cases
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