The WHO 2020 Digital Partograph for low-resource settings. Monitor labor in real-time, detect complications early, and save lives—even without internet.
Trusted by Healthcare Leaders
In maternal care, delay is the enemy. Manual paper partographs are often incomplete, illegible, or filled out retrospectively. Maame Dromo digitizes this specific workflow, enforcing WHO 2020 standards at the point of care.
Works flawlessly in remote clinics. Data syncs automatically when connectivity returns.
Comprehensive tracking of all 4 labor stages. Automated alerting for prolonged labor, fetal distress, and arrested descent.
Pattern analysis and deceleration detection. Supports multi-baby monitoring (up to 5) for multiple gestations.
Automated Bishop Score (0-13) calculator and 4-level risk assessment logic to guide referral decisions.
One-click PDF export of compliance-ready Partographs. Monthly delivery dashboards and neonatal outcome reports.
Offline AI algorithms that predict complications before they become emergencies.
Analyzes labor duration, uterine tone, and hemodynamic trends to flag Postpartum Hemorrhage risk level hours in advance.
Continuously monitors maternal temperature and heart rate variability (HRV) to detect early warning signs of systemic infection.
Computer vision algorithms auto-classify Fetal Heart Rate traces as Normal, Suspicious, or Pathological based on WHO guidelines.
All models run locally on the tablet. No internet connection required for predictive analysis.
Designed for speed and accuracy in the delivery room.
How we turned 100,000+ physical records into a life-saving algorithm.
We gathered over 100,000 physical partographs from diverse facilities, capturing varied handwriting, labor scenarios, and outcomes.
Clinical experts extracted key datapoints—cervical dilation, descent, and vitals—cleansing noise and digitizing the "Labour Care Guide" parameters.
Built and fine-tuned ML models on this massive dataset to recognize patterns in "Shared Decision Making" and "Active Second Stage" progression.
The result: A validated predictive engine capable of forecasting 19+ maternal and neonatal complications in real-time.
Real-time oversight of facility performance, compliance, and clinical outcomes.
Midwives spend less time writing and more time caring. The Guardian Engine automatically enables:
Engineered for resilience in challenging infrastructure environments.
Delta sync transmits only changed data to save bandwidth. Configurable backgrounds sync (5-120 mins) with auto-retry.
Run the backend on-premise on a standard PC or in the cloud. Android mobile app for lightweight, low-power devices.
Web dashboard allows Facility, District, Regional and National Health Professionals to view live labour status across all facilities in real-time.