Labor Progress Assessment & Clinical Documentation
Document labor progression with clinical accuracy and standards-compliant delivery records
What You Can Do
You can integrate multiple intrapartum parameters—cervical dilation, effacement, station, vital signs, and FHR patterns—into coherent clinical assessments that align with evidence-based labor curves and institutional protocols. The skill generates comprehensive delivery notes that document clinical reasoning, identify deviations from expected progress, and create clear handoff documentation between shifts with complete contextual information for the care team.
Features
systematically evaluate dilation, effacement, station, and cervical consistency against Friedman curve benchmarks
assess maternal blood pressure, pulse, temperature, and respiratory rate in context of labor stage and clinical risk factors
document baseline, variability, and decelerations with clinical correlation to maternal position, contractions, and interventions
compare sequential exams to established timeframes and flag when progress deviates from expected patterns
create visual and narrative records that capture labor curve, interventions, and clinical decision points
identify clinical indicators that warrant physician consultation or maternal-fetal medicine involvement
generate comprehensive summaries with complete contextual information for continuity of care
produce delivery notes that meet hospital documentation requirements and support clinical and legal protection
Example Output
Example 1: Routine Labor Assessment
Cervical Exam at 14:00 (8 hours into active labor):
- Dilation: 6 cm | Effacement: 80% | Station: -2 | Consistency: Soft | Position: Anterior
- Assessment: Progress consistent with Friedman curve expectations (0.5–1.5 cm/hour). No evidence of arrest disorder.
- Plan: Continue ambulation with continuous fetal monitoring. Repeat exam in 3–4 hours or if patient reports urge to push.
Example 2: Deviation from Expected Progress
Assessment at 22:00 (15.5 hours into active labor):
- Dilation: 7 cm | Previous exam (18:00): 6.5 cm | Rate: 0.08 cm/hour over 4 hours
- Clinical Concern: Prolongation of active phase labor (expected 1–1.5 cm/hour in nullipara).
- Vital Signs: BP 138/82, HR 98, Temp 98.2°F. FHR baseline 145 with moderate variability, no decelerations.
- Plan: Physician consultation for labor augmentation evaluation. Consider oxytocin protocol per institutional guidelines.
Example 3: Shift Handoff Documentation
Summary for Night Shift (22:30):
- G2P1 at 39+2 weeks, admitted 06:30, spontaneous labor onset
- Current: 7 cm dilated, -2 station, strong regular contractions Q3-4 min × 60–70 sec
- FHR: Reassuring (baseline 140–150, moderate variability, no decelerations)
- Plan: Await spontaneous progression; consider augmentation if no dilation change by 02:30
- Epidural requested at 21:45, placed without complications; patient comfortable and ambulating with assistance
What's Included
- SKILL.md: Complete skill instruction file with assessment protocols and documentation frameworks
- Cervical Examination Checklist: Standardized form for documenting dilation, effacement, station, consistency, and position findings
- Vital Signs & FHR Integration Template: Structured worksheet for correlating maternal and fetal parameters with labor stage
- Partograph Worksheet: Visual labor curve tracking tool with intervention and decision point markers
- Shift Handoff Template: Comprehensive summary format for continuity of care documentation
- Labor Progression Reference Guide: Evidence-based Friedman curve benchmarks and normal timeframes for nulliparous and multiparous labor
Who It's For
- Nurse midwives managing labor and delivery in hospital settings
- Labor and delivery nurses conducting intrapartum assessments and documentation
- Nursing students learning systematic labor assessment and clinical documentation
- Clinical educators teaching evidence-based intrapartum care and documentation standards
- Obstetric providers requiring comprehensive handoff documentation and clinical summaries
Best For
- Documenting routine cervical examinations during active labor
- Integrating multiple clinical parameters into coherent assessments
- Identifying labor dystocia and determining escalation decisions
- Creating comprehensive delivery notes that reflect clinical reasoning
- Generating shift handoff documentation with complete contextual information
- Developing individualized labor plans when progress deviates from expected patterns
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