Artemis Hospitals and Medulance Launch 5G-Connected Ambulance in Gurugram

Artemis Hospitals and Medulance Launch 5G-Connected Ambulance in Gurugram
Artemis Hospitals, in collaboration with emergency ambulance care provider Medulance, has launched a 5G-enabled ambulance in Gurugram. “This innovative step brings next-generation healthcare right to your doorstep, powered by 5G technology and artificial intelligence (AI)-driven telemedicine. Now, you can receive rapid, real-time medical support even before you reach the hospital,” Artemis Hospitals said in a post on its website.

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5G + AI: Emergency Medical Response

In a joint statement, Artemis and Medulance said the ambulance will enhance emergency care—especially in cases of heart attacks, strokes, or trauma—by leveraging 5G connectivity, AI-powered diagnostics, and real-time telemedicine, as reported by ETTelecom.

The 5G connectivity enables the transmission of vital patient data—including heart rate, oxygen saturation, and blood pressure—from the ambulance to the hospital in real-time. This allows hospital-based specialists to assess the situation and guide paramedics before the patient arrives, significantly reducing response time during medical emergencies.

Real-Time Monitoring and Support on the Move

AI tools embedded within the ambulance system continuously monitor patient vitals, identify critical patterns, and alert medical personnel to any alarming changes. This smart integration turns the ambulance into a “mobile emergency room (ER),” which means that decisions can be made and life-saving actions can be taken on the go before the patient reaches the hospital.

Highlighting the urgent need for such innovations, Artemis and Medulance cited research indicating that approximately 24,012 people die each day in India due to delays in receiving medical assistance. A previous study by AIIMS and the Indian Council of Medical Research (ICMR) revealed that only 10.8 percent of patients in India reach appropriate medical facilities within the crucial first hour of symptom onset.