Obstetric Anesthesia Decision Support
Evaluate obstetric patients & generate evidence-based anesthetic plans
What You Can Do
This skill guides you through rapid risk stratification of obstetric patients across all delivery scenarios—from routine labor epidurals to emergency cesarean sections. You'll evaluate maternal-fetal physiology, comorbidities, and obstetric factors to select optimal anesthetic techniques, anticipate complications unique to pregnancy, and generate evidence-based anesthetic protocols that balance maternal safety with fetal well-being.
Features
assesses medical history, obstetric factors, airway anatomy, and comorbidities specific to pregnancy
compares epidural, spinal, combined, and nitrous oxide approaches with contraindications and dosing
rapid risk assessment and anesthetic sequencing for time-critical delivery
specialized approaches for preeclampsia, placental abnormalities, morbid obesity, and cardiac disease in pregnancy
evaluates anesthetic drug effects on the fetus and newborn outcomes
guides alternative technique selection and conversion strategies
protocols for obstetric-specific recovery management and monitoring
Example Output
Example 1: Labor Epidural Request
- Patient: G2P1 at 6 cm dilation, requesting analgesia
- Assessment: Platelet count 180K, no contraindications, informed consent obtained
- Recommendation: Continuous epidural infusion (0.1% bupivacaine + fentanyl 2 mcg/mL), position supine with 15° left tilt, monitor FHR × 15 min post-placement
- Safety checks: Aspiration precautions, backup plan for failed block
Example 2: Emergency Cesarean with Preeclampsia
- Patient: 34 weeks, severe range BP, platelets 95K, urgent delivery indicated
- Assessment: Regional contraindication due to thrombocytopenia, difficult airway anticipated
- Recommendation: Rapid sequence intubation with succinylcholine, magnesium interaction considerations, invasive monitoring, ICU-level recovery
- Fetal considerations: Reduced placental perfusion time, prepare neonatal team
Example 3: Morbidly Obese Patient for Planned Cesarean
- Patient: BMI 52, sleep apnea, no preeclampsia, at 39 weeks
- Assessment: Airway risk (Mallampati III), neuraxial technically challenging
- Recommendation: Neuraxial preferred if successful; general anesthesia with awake fiberoptic intubation backup, positioning strategies, extended PACU monitoring
What's Included
- SKILL.md instruction file: complete obstetric anesthesia decision framework
- Preoperative evaluation checklist: systematic assessment of maternal, fetal, and obstetric factors
- Anesthetic technique comparison matrix: labor analgesia options with contraindications and dosing
- High-risk scenario protocols: preeclampsia, placental abnormalities, cardiac disease, morbid obesity templates
- Emergency cesarean rapid assessment flowchart: decision tree for time-critical delivery planning
Who It's For
- Anesthesiologists — preoperative planning and intraoperative decision-making for obstetric cases
- CRNAs (Certified Registered Nurse Anesthetists) — labor analgesia management and cesarean anesthesia planning
- OB hospitalists and maternal-fetal medicine specialists — collaborative anesthetic planning with anesthesia teams
- Obstetric nurses and labor & delivery teams — understanding anesthetic options and patient counseling
- Anesthesia residents and CRNA students — teaching tool for obstetric anesthesia principles and protocols
Best For
- Preoperative anesthetic evaluation for planned cesarean delivery and obstetric procedures
- Labor analgesia selection and patient counseling during active labor
- Emergency cesarean delivery anesthetic planning under time pressure
- Risk stratification in high-complexity obstetric patients (preeclampsia, cardiac disease, morbid obesity)
- Troubleshooting failed regional anesthesia and selecting alternative techniques
- Institutional protocol development and team education for obstetric anesthesia
You might also like
You can develop comprehensive differential diagnoses by anchoring on the chief complaint, applying systematic reasoning to competing diagnoses, and identifying red flags that suggest serious pathology. The skill helps you organize complex clinical information, prioritize diagnostic possibilities based on prevalence and risk, and document your reasoning for medicolegal protection and clinical clarity.
by gptomics
You'll systematically evaluate patient risk factors, stratify perioperative risk using evidence-based frameworks, and generate detailed anesthesia plans that address specific comorbidities and procedural requirements. This skill helps you synthesize complex patient data—medical history, physical exam findings, lab work, imaging, and medication profiles—into actionable risk mitigation strategies that optimize patient safety and guide technique selection, drug choices, and monitoring protocols.
by gptomics
You synthesize current clinical evidence into structured protocols tailored to your specialty and institutional context. This skill helps you build physician-nurse collaborative decision frameworks, identify implementation barriers before rollout, and create adoption guides that account for resource constraints and stakeholder buy-in. You'll develop protocols ready for medical staff committees and bedside teams—not generic templates, but specialty-specific standards that bridge research and practice.
by gptomics
You construct methodical differential diagnoses using a validated three-tier framework that separates don't-miss conditions from high-probability and lower-probability diagnoses. Claude integrates patient context, vital data, and epidemiologic patterns specific to primary care settings to generate actionable diagnostic branches with targeted next steps for confirmation or exclusion of each condition.
by gptomics
You can systematically document refraction findings for low vision patients and generate prescriptions optimized for specific functional tasks like reading, mobility, and facial recognition. The skill calculates appropriate magnification ratios, predicts realistic visual outcomes, and creates comprehensive documentation that prioritizes quality of life over distance acuity—transforming conventional refraction into patient-centered, task-driven prescriptions.
by gptomics
Organize and validate patient parameters against clinical thresholds to generate customized contact lens fitting protocols. The skill systematizes complex fitting decisions for diverse refractive errors and corneal conditions, ensures regulatory compliance through built-in safety checks, and creates documented follow-up timelines based on individual risk factors. You get clinically justified lens parameter recommendations with transparent decision-making rationale suitable for patient records and staff training.
by gptomics
You can systematize contact lens fitting using structured clinical decision frameworks that accelerate patient selection, lens recommendations, and troubleshooting. This skill provides real-time access to candidacy assessment tools, lens selection logic for complex cases (keratoconus, post-refractive surgery, presbyopia, dry eye), and complaint resolution protocols—reducing chair time while maintaining clinical rigor and defensible documentation.
by gptomics
You can rapidly synthesize invasive hemodynamic monitoring, echocardiography, and lab data into coherent clinical assessments that guide inotrope and vasopressor selection specific to cardiac pathology. The skill helps you differentiate between pump dysfunction, volume status, and vasomotor tone problems to anticipate hemodynamic challenges at critical surgical transitions—from pre-bypass optimization through post-bypass weaning—and generate evidence-based pharmacologic reasoning suitable for documentation and peer review.
by gptomics