ELMNS is an AI-assisted early warning system designed to support midwives and clinicians at health facilities across Eastern Uganda — catching warning signs earlier, reducing delays, and keeping more mothers and newborns safe.
ELMNS is currently in an active research pilot phase led by the Elgon Region Health Team. It is designed to support and augment — never replace — the clinical judgment of qualified midwives, doctors, and health workers. All alerts and risk scores are decision-support tools only. This system has not been submitted for independent regulatory approval and is deployed strictly within participating pilot facilities under the supervision of trained clinical staff. Data is stored securely and used solely for improving maternal health outcomes in the Elgon region.
Automatically scores each patient visit using validated obstetric risk parameters — haemoglobin, blood pressure, fetal heart rate, urine protein, and more — and flags high-risk patients in real time.
Core FeatureReplace paper registers with structured digital ANC records. Capture all four WHO-recommended contacts, lab results, birth plans, and interventions in one place.
ANCCreate and track inter-facility referrals digitally — from pending approval through in-transit to arrival — with urgency classification and clinical summaries for the receiving facility.
ReferralsRecord labour observations every 30 minutes on a digital partograph. The system alerts automatically if cervical progress falls behind the action line or if fetal distress signs appear.
LabourBuilt for facilities with intermittent internet. Data is captured offline and synced to the cloud automatically when connectivity is restored — no data loss, ever.
OfflineSix clinical roles — from midwife to obstetrician — with access scoped to what each person actually needs. Patient data never leaves the facility without authorisation.
SecurityMidwife opens ELMNS on a phone or tablet and registers the patient at first ANC contact. No internet needed.
Vitals, lab results, and clinical observations are captured in a structured form built around MOH Uganda guidelines.
ELMNS scores the patient automatically and alerts the duty doctor or midwife if intervention is needed — before it becomes an emergency.
Issue a referral, open a partograph session for labour, or acknowledge the alert — all within the app. Every action is timestamped and auditable.
Dr. Mugabe is a Fellow of the College of Obstetricians and Gynaecologists with over 2 decades of maternal health experience. He is the coordinator of the Elgon LMNS since it's inception. This project addresses the persistent gap between clinical guidelines and real-world outcomes at the facility level. His clinical oversight ensures every feature maps directly to what saves lives on the ward.
We are preparing a 5-minute guided video showing a complete patient journey from ANC registration to referral.
Available Q2 2026We are actively onboarding health facilities across Eastern Uganda. Whether you are a HC III, district hospital, or regional referral hospital — if you serve pregnant women, we want to hear from you.