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Healthcare Leadership, Policy & Digital Health News India > Blog > Frontline Focus > Assam’s Maternal Health Revolution Janitri’s AI Network Connects 41 Hospitals for Live Labour Oversight

Assam’s Maternal Health Revolution Janitri’s AI Network Connects 41 Hospitals for Live Labour Oversight

Published: February 4, 2026
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Janitri, a leading maternal health technology provider, has successfully connected 41 government hospitals across Assam through its AI-powered real-time labour monitoring network. The system enables continuous fetal heart rate tracking, uterine contraction monitoring, and automated alerts for potential complications, allowing specialists at higher centres to remotely guide care and intervene early significantly improving maternal and neonatal outcomes in a state with challenging geography and access barriers.

Glimpse:

The network, operational since late 2025 and expanded in January 2026, integrates Janitri’s portable, wireless fetal monitors with a centralised AI dashboard accessible to obstetricians across districts. It has already recorded thousands of monitored labours, detecting high-risk patterns such as fetal distress and abnormal contractions, leading to timely referrals and interventions. The initiative is part of Assam’s broader push to reduce maternal and infant mortality through technology-enabled care coordination.

Janitri, an innovative maternal health platform, has achieved a major milestone by linking 41 government hospitals and medical colleges across Assam into a unified AI-powered network for real-time labour monitoring. The expansion, completed in January 2026, transforms how obstetric care is delivered in the state—particularly in remote and hilly districts where specialist availability is limited and transport delays can prove critical.

At the heart of the network are Janitri’s wireless, portable fetal monitors, which track fetal heart rate, uterine contractions, and maternal vitals during labour. Data is transmitted securely to a central AI dashboard accessible to senior obstetricians at hub facilities like Gauhati Medical College and Hospital, Assam Medical College, and other district-level centres. The AI continuously analyses patterns for signs of fetal distress, abnormal labour progression, or maternal complications, generating automated alerts and visual trends that guide remote decision-making.

This hub-and-spoke model allows doctors at peripheral hospitals to receive real-time expert guidance whether to continue labour, administer medication, or prepare for emergency referral without needing on-site specialists around the clock. The system also supports automatic escalation to emergency services if critical thresholds are breached, reducing the risk of preventable maternal or neonatal deaths.

The network has already monitored thousands of labours since its phased rollout, with early data showing improved detection of high-risk cases, reduced unnecessary referrals, and better preparedness for complicated deliveries. Assam, with its diverse terrain and scattered population, faces unique challenges in maternal care; this technology helps overcome distance and specialist shortages by bringing high-level expertise virtually to every delivery room.
“Every minute counts in labour. By connecting 41 hospitals through AI-powered monitoring, we are ensuring that no mother or baby is left without timely expert support regardless of where they deliver. This is a big step toward safer motherhood in Assam.”

The initiative is supported by the state health department and aligns with national goals under the National Health Mission and Surakshit Matritva Aashwasan (SUMAN) programme, which emphasise zero preventable maternal and neonatal deaths. Janitri plans to further expand the network to cover additional facilities in Assam and replicate the model in other states with similar geographic and access challenges.

“In remote areas, distance often decides outcomes in childbirth. Our AI network removes that barrier bringing specialist eyes and timely decisions to every labour room across Assam.”

By

HB Team

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