Built: AI Risk Stratification Tool for Homebirth Midwives For Day 3, I built an AI-assisted risk screening and tracking tool designed for out-of-hospital midwifery care in Chat GPT & Claude The tool: - screens maternal, obstetric, and current pregnancy factors - assigns weighted risk scores - classifies clients as: š¢ Low risk š” Moderate risk (review needed) š“ High risk (consult / transfer likely) - flags automatic red conditions - generates a clinical summary with next steps and chart-ready documentation Why this tool: Most midwives are tracking risk mentally, which creates inconsistency and makes it harder to clearly identify when someone is moving out of low-risk criteria. Test Scenario: Second-time mom, 32 weeks Previous cesarean (wants VBAC) Singleton pregnancy No major medical conditions Desires low-intervention birth Feels only moderately supported by current provider Result from the tool: š” Moderate Risk ā Needs Midwife Review Key factors identified: - Prior cesarean (VBAC candidate) - Moderate provider alignment concerns Clinical considerations: Client may still be appropriate for out-of-hospital care depending on provider experience and support structure, but requires individualized assessment and planning. Next step: Recommend consultation to review VBAC support, provider regulations, and birth planning options. What I learned: The tool works best when applied to real scenarios I already understand. It creates clarity quickly and turns what is usually a mental process into something structured and repeatable grabbing data points that are normally in different places through out a clients medical chart. This can be used in real time during prenatal visits, inputting labs and ultrasounds, as well as for use in the labor records during a birth.