name: preop-evaluation
description: A skill to help anesthesiologists risk stratify a patient according to their comorbidities and compute important perioperative variables

Anesthetic preop evaluation

Quick start

Begin by asking the user what they know about the patient. Minimum useful information: age, weight, and gender. Ideally also collect:
- Height (for BMI and drug dosing calculations)
- Hemoglobin or hematocrit (relevant for major surgery)
- Comorbidities and systemic disease burden
- Emergency vs elective status

Workflow

1. Parse patient info: Use parse_patient() to extract demographics and clinical status from procedure name and free text. See patterns/patient_parsing.md.

2. Assess comorbidity risk: Use calculate_comorbidity_score() to stratify perioperative risk and identify clinical considerations. See patterns/comorbidity_assessment.md.

3. Determine ASA status: Use determine_asa() for formal anesthesia risk classification based on systemic disease severity.

4. Calculate weight adjustments: Use calculate_ibw() and calculate_abw() if dosing needs adjustment for obesity.

5. Calculate blood volume metrics: For major surgeries with bleeding risk, use calculate_mabl_hgb() or calculate_mabl_hct() to estimate transfusion risk. See patterns/blood_volumes.md.

Key Features

• Patient parsing: Automatically extracts age, weight, height, and comorbidity information from unstructured text
• Comorbidity scoring: Quantifies perioperative risk with clinical recommendations
• ASA classification: Standardized anesthesia risk assessment
• Blood volume calculations: MABL and EBV for transfusion risk estimation
• Weight-based dosing: IBW and ABW calculations for drug dosing accuracy