Superhealth Launches SuperOS, Claims World’s First Agentic AI Operating System for Hospitals

According to the company, SuperOS manages outpatient consultations, diagnostics, surgeries, inpatient care, inventory, and discharge processes through AI-driven workflows. 

Superhealth introduced SuperOS, an agentic AI operating system designed to run hospital operations across clinical and administrative functions. The system has been built in-house and is currently deployed at the company’s flagship hospital in Bengaluru.

According to the company, SuperOS manages outpatient consultations, diagnostics, surgeries, inpatient care, inventory, and discharge processes through AI-driven workflows. It integrates clinical data, hospital infrastructure, and staff coordination into a unified system that assigns tasks to both AI agents and human teams in real time.

Founder and CEO Varun Dubey described SuperOS as an operating system that runs hospital functions “from clinical decisions to operations, from labs to discharge, from OT assignments to auto prescriptions.”

In outpatient departments, the system adjusts appointment durations based on visit type and functions as an ambient AI during consultations. It surfaces prior patient records, suggests clinical considerations, and drafts prescriptions for physician review and approval. It also coordinates medicines and lab sample collection directly within consultation rooms.

SuperOS is integrated into radiology and pathology workflows through a cloud-based imaging infrastructure. The company has eliminated traditional PACS servers at its facility, enabling instant image transfer and AI-supported scan analysis. In its pivotal diagnostic workflows, SuperOS performs 3D volumetric analysis across imaging modalities, including intracranial hemorrhage mapping, fracture detection, implant positioning, and pneumothorax identification.

Citing the Indian Radiological & Imaging Association’s 2025 report, the company noted that India has approximately 6,000 radiologists serving a population of 1.4 billion. Superhealth claims its AI-assisted workflows enable radiologists to complete reports 30% faster by flagging anomalies in seconds rather than requiring manual scan review.

For inpatient and surgical workflows, SuperOS coordinates operating room schedules, surgeon availability, anesthesia planning, equipment allocation, and room assignments. During procedures, it monitors timelines and adjusts schedules dynamically if delays occur. The system also generates discharge summaries instantly for physician approval.

SuperOS includes patient monitoring capabilities that adjust alerts based on individual clinical histories rather than fixed thresholds. Additional beta features include automated drug–drug interaction checks and AI-based post-surgical wound assessment through remote image scans.

Superhealth stated that all data is stored in India within HIPAA-compliant systems. The company plans to expand SuperOS capabilities across its broader hospital network.

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