Bengaluru-based healthcare provider Superhealth has announced the launch of SuperOS, which it described as the “world’s first agentic AI operating system built to run an entire hospital”.
Developed in-house and deployed at Superhealth’s flagship hospital in Bengaluru, SuperOS is designed to manage both clinical and operational workflows across outpatient, inpatient, diagnostics, surgery scheduling, pharmacy coordination and discharge processes.
Founder and CEO Varun Dubey said the system goes beyond being a clinical assistant. “SuperOS is the world’s first agentic AI operating system built to actually run a hospital, from clinical decisions to operations, from labs to discharge, from OT assignments to auto prescriptions,” Dubey said. “This is not software that merely assists healthcare. This is technology that operates healthcare.”
In outpatient settings, SuperOS functions as an ambient AI co-pilot during consultations. The system listens to doctor-patient interactions across 15 Indian languages, surfaces prior medical history, suggests clinical considerations and drafts prescriptions for doctor review and approval. It also dynamically manages appointment slots, adjusts consultation durations and coordinates medicine delivery and diagnostic sample collection to reduce patient waiting time.
In diagnostics, SuperOS is integrated with radiology and pathology workflows. The company has eliminated traditional on-site PACS servers and built a fibre-connected system that transfers imaging data to its cloud infrastructure for AI analysis.
According to Superhealth, its diagnostic AI enables 3D volumetric analysis of scans and can reduce reporting time by up to 30%, particularly in areas such as neurology, orthopaedics and chest imaging. The company says all data is stored in India in Health Insurance Portability and Accountability Act-compliant systems.
Citing industry data that India has roughly 6,000 radiologists for a population of 1.4 billion, Superhealth claims the system can significantly enhance specialist productivity by flagging anomalies in seconds, allowing doctors to focus on clinical interpretation.
For inpatient and surgical workflows, SuperOS automates operating theatre scheduling by analysing surgeon availability, procedure type, equipment needs and recovery timelines. It also monitors admitted patients with contextual alerts tailored to individual health baselines, aiming to reduce alert fatigue and improve patient safety.
The platform includes beta features such as AI-based medication interaction checks, vision AI for post-surgical wound monitoring at home, and range-of-motion tracking for orthopaedic recovery.
One of its flagship features, branded ‘Magic Discharge’, automatically generates discharge summaries once a doctor clears a patient, eliminating paperwork delays.
Superhealth says SuperOS conducts real-time clinical audits across 100% of patient interactions based on pre-designed speciality protocols, a shift from traditional sample-based peer reviews.
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