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Assesses patient risk level (e.g., low, medium, high) based on clinical information such as symptoms, history, and findings. Use when evaluating potential severity, complications, or need for prioritization in clinical contexts.
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Classifies clinical text into predefined categories such as severity, urgency, or clinical type based on patient information. Use when assigning labels for triage, prioritization, or categorization of medical cases.
Extracts and organizes clinical events into a chronological timeline based on patient records or medical notes. Use when reconstructing the sequence of symptoms, diagnoses, treatments, or hospital events.
Converts unstructured clinical text into structured JSON by extracting key medical information such as symptoms, diagnoses, medications, procedures, and temporal data. Use when transforming clinical notes into machine-readable format.
Generates structured clinical reports (e.g., discharge summaries, medical reports, or clinical notes) based on patient data. Use when transforming clinical information into clear, standardized medical documentation.
Answers questions based strictly on clinical text, such as patient records or medical notes. Use when extracting specific information from clinical documents in a reliable and grounded manner.
Maps clinical text to standardized diagnosis codes (e.g., ICD-10) based on explicitly mentioned conditions. Use when extracting or assigning diagnostic codes from medical records, clinical notes, or patient summaries.
SOC 職業分類に基づく
| name | clinical-risk-prediction |
| description | Assesses patient risk level (e.g., low, medium, high) based on clinical information such as symptoms, history, and findings. Use when evaluating potential severity, complications, or need for prioritization in clinical contexts. |
When assessing clinical risk, follow these steps:
Identify information that may influence risk, including:
Only use explicitly stated information.
Determine whether the case includes signs of:
Do not assume missing data.
Classify the case into one of the following:
Base the classification strictly on the available information.
Provide a brief explanation including:
Keep justification concise and grounded in the input.
Return the result as structured text:
Risk Level: HIGH
Rationale:
- ...
- ...