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AI Precision for Financial, Operational & Clinical Excellence in L&D

Birth Model's predictive AI integrates with Epic and Oracle Health EHRs to deliver comprehensive clinical assessments, real-time risk alerts, staffing forecasts, and billing insights.

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Five Pillars of L&D Excellence

Our AI platform delivers measurable improvements across every dimension of Labor & Delivery performance.

💰

Financial Excellence

Optimize revenue capture with AI-powered documentation and ICD-10/CPT coding. Reduce claim denials and improve reimbursement rates.

⚡

Operational Efficiency

Predict delivery times within ±12 minutes. Enable smarter staffing decisions, reduce overtime, and maximize room turnover.

❤️

Clinical Safety

Real-time risk stratification for PPH, preeclampsia, shoulder dystocia, and other complications. Early warning alerts for clinical teams.

📋

Documentation & Compliance

Auto-generated clinical documentation for regulatory reporting. Audit-ready metrics for accreditation and quality programs.

🛡️

Liability Protection

Reduce malpractice exposure with comprehensive documentation trails and proactive risk identification in high-litigation L&D environment.

📊 Automated Reportable Outcomes

Clean, audit-ready metrics — no manual data collection required

CMS CDC Joint Commission State PQCs & DOH Commercial Payers Malpractice Carriers Board & C-Suite
1 View Census
2 Monitor Alerts
3 Filter Status
4 Track Deliveries
Reduce Staffing Costs

Automate L&D staff management with real-time data and customized analytics.

  • ✓ Staff Allocation: Right-size staffing based on accurate census data
  • ✓ Cost Savings: Align staffing with predicted patient volumes
  • ✓ Room Turn-over: Predict delivery times and room availability
📖 Read: The L&D Staffing Crisis →
👥 Staff Management
Live
All
Inductions
Active
C-Section
T.A.
T. Atkinson
LDR 4
Induction
Est. Delivery
3h 45m
JM
J. Miller
1:2
M.C.
M. Chen
LDR 2
Active Labor
Est. Delivery
45 min
⚠️ 2nd Nurse Required
Assign within 12:00
S.D.
S. Davis
OR 1
C-Section
Scheduled
10:30 AM
👶 Baby Nurse + Neonatology
Needed in 45 min
N.W.
N. Williams
Ante 3
Antepartum
Monitoring
Stable
AR
A. Rodriguez
1:3
📋 Staffing by Acuity
1:1
Active Labor
4 patients
1:2
Induction
3 patients
1:3
Antepartum
5 patients
2:1
C-Section
2 patients
14 patients
10 nurses on duty
✓ Staffing Optimal
1 View Census
2 Walk-In Predictions
3 Staffing Needs
4 Volume Alerts
Staffing & Census Intelligence

Real-time visibility into your entire L&D unit with predictive analytics.

  • ✓ Census Forecasting: Predict patient volumes 10-14 days ahead
  • ✓ Walk-In Predictions: AI estimates for unscheduled admissions
  • ✓ High-Volume Alerts: Notifications when census exceeds thresholds
📊 Unit Intelligence
March 3, 2026
🏥 Patient Census
3
Pitocin
2
Ripening
4
Labor
2
C-Section
5
Antepartum
3
Recovery
🚶‍♀️
AI Walk-In Predictions
Next 24h
4
Now
2
6h
3
12h
1
18h
2
24h
👩‍⚕️ Staffing Forecast
🌅
Day Shift
7am - 7pm
8 nurses
Optimal staffing
🌙
Night Shift
7pm - 7am
6 nurses
Optimal staffing
19
Total Census
1.4:1
Nurse Ratio
⚠️
High Volume Alert
4 walk-ins expected in next 6 hours
1 Quality Metrics
2 Lag Times
3 Disparities
4 Neonatal
Quality Intelligence

Automated quality metrics and outcomes tracking for CDC, CMS, and leadership reporting.

  • ✓ Quality Tracking: NTSV, PPH rates, and episiotomy metrics
  • ✓ Lag Times: Decision-to-incision, triage-to-admit tracking
  • ✓ Neonatal Outcomes: Apgar scores and NICU admission rates
  • ✓ Disparities Analysis: Filter by race, month, and year
📊 Quality Intelligence
All
Year
Month
❤️ Maternal Quality Metrics
23.4%
NTSV Rate
Target: <25.5%
4.8%
PPH Rate
Target: <3.5%
2.1%
Episiotomy
Target: <5%
⏱️ Operational Lag Times
24 min
Decision-to-Incision
✓ Under 30 min
18 min
Triage-to-Admit
✓ Under 20 min
42 min
Reg-to-Induction
Target: 45 min
📈
C-Section Rate by Demographics
White
28%
Black
35%
Hispanic
26%
Asian
30%
👶 Neonatal Outcomes
9
Avg Apgar (5 min)
96.2%
Skin-to-Skin 1h
6.8%
NICU Admission
Auto-Generated Reports
CMS CDC Joint Commission State PQCs
Increase Revenue

Boost maternal care revenue with automated solutions that integrate effortlessly.

  • ✓ Accurate Billing: AI-generated ICD-10 and CPT codes
  • ✓ Delivery Volumes: Streamlined induction and C-section scheduling
  • ✓ EHR Integration: Epic Connection Hub with zero nursing effort
⚠️
Ahead of 2027 Changes

Global OB codes are being eliminated January 2027. Birth Model's automated capture prepares you for unbundled billing today. Learn more →

🏥 Automatic Diagnosis Capture
Auto-Capturing
AM
A. Martin
Room 3 • G3P2002 • 39w3d
QBL: --
ICD-10 Codes
Z3A.39 39 Weeks Gestation ✓
O99.824 GBS Carrier ✓
O24.424 GDM, Insulin ✓
O14.14 Severe PreE ✓
O41.123 Chorioamnionitis ✓
O72.1 PPH Immediate ✓
CPT Codes
59409 Vaginal Delivery ✓
96365 IV Infusion, Initial ✓
96366 IV Infusion, Addl ✓
96372 IM Hemabate ✓
59160 Postpartum Curettage ✓
59899 Bakri Balloon ✓
✓ 12 codes captured • $4,250 estimated reimbursement
150K+
Patient Charts Analyzed
±12min
Prediction Accuracy
300+
Data Points Synced
<4min
Training Time

Calculate Your Hospital's ROI

Birth Model delivers measurable financial impact with rapid payback periods.

5-8x
Return on Investment
1.5mo
Payback Period
25-30%
Overtime Reduction
Calculate Your ROI

See How Birth Model Can Transform Your L&D

Schedule a personalized demo to see our platform in action.

Request a Demo