Bengaluru, Feb 11: Superhealth today introduced SuperOS, the world’s first agentic AI operating system for healthcare. SuperOS runs the hospital end-to-end, improving both clinical excellence and operational efficiency.
SuperOS is built in-house by Superhealth and is currently deployed at its flagship hospital in Bengaluru. It runs day-to-day hospital operations, assists doctors across consultations, differential diagnoses and surgical care, improves diagnostic scan speed and accuracy, monitors admitted patients, optimises operating-room flows and inventory management, and automatically generates discharge summaries.
SuperOS is also at the heart of Superhealth’s zero-wait experience. It intelligently manages appointment slots and durations to maximise face time between doctors and patients, while predicting and proactively flagging potential delays for others.
“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, it does it all,”
Varun Dubey, Founder and CEO of Superhealth.
“It understands doctors, nurses, patients, and 15 Indian languages, and it orchestrates outcomes with humans and AI agents in real time. Only Superhealth could build this, because we are the only full-stack provider that designs, builds and operates hospitals while also building all the technology that runs them. This is not software that merely assists healthcare. This is technology that operates healthcare.”
“India has a unique opportunity to show the world what real, meaningful healthcare AI looks like,” he added. “SuperOS is built in India, for India using Indian clinical data. It is also deployed in India, and focused on solving problems that matter to our country and our people.”
Super OS Design Architecture
SuperOS oversees every part of the hospital as a single, unified fabric to which all systems are connected. Every patient’s care is supervised by SuperOS and, based on the needs of the doctor and the patient, it assigns tasks and actions to agents across the system. These include both AI agents and human agents, such as nurses, phlebotomists, medication managers, radiology technicians and care managers.
SuperOS consists of multiple components that work cohesively to ensure the highest clinical quality of care and a hassle-free patient experience through deep, agentic AI workflows.
Super OS runs the OPD and is Co-Pilot for doctors and patients
SuperOS organises OPD slots by intelligently adjusting appointment durations based on the type of visit, whether it is a first consultation, follow-up, report review or post-surgical care. This ensures patients spend meaningful time with doctors and do not feel rushed.
During consultations, SuperOS functions as an ambient AI that listens to and understands both the doctor and the patient (across 15 Indian languages). It suggests additional areas for clinical consideration, surfaces relevant patient history including past tests, scans and medications from previous Superhealth visits, and automatically drafts prescriptions based on the doctor’s diagnosis and advice. Doctors always review, edit if required, and approve the final prescription.
This allows doctors to focus entirely on patients instead of typing, searching for records or documenting manually.
SuperOS also manages Superhealth’s inventory and coordinates medicines and phlebotomists for blood draws, assigning actions so that both reach the patient directly in the consultation room. This eliminates the need to queue at pharmacies or wait at sample-collection areas, significantly reducing patient friction while improving efficiency and utilisation for Superhealth.
Super OS Enables Better Diagnostics
SuperOS is deeply integrated into Superhealth’s diagnostic workflows, covering both radiology and pathology.
Superhealth has eliminated the traditional in-house PACS server and built fibre-optic infrastructure within the hospital to enable instant image transfer to the Superhealth Cloud. All imaging analytics are performed in the cloud, and annotated reports are generated for radiologist review. This allows radiologists to interpret more scans per day and deliver faster, more accurate care. Any feedback or edits made by radiologists are automatically ingested by the system for continuous improvement. All data is stored in India in HIPAA-compliant systems.
SuperOS then shares scans and reports directly with both doctors and patients to guide next steps in treatment.
Today, SuperOS Diagnostic AI enables faster and more accurate detection across neurology, orthopaedics, chest trauma and oncology, including instant 3D volumetric analysis across imaging modalities:
•Neurology: Intracranial hemorrhage mapping (calcification vs acute bleed), edema volume
•Orthopedics: Fracture detection, implant positioning, bone lesion segmentation
•Chest: Pneumothorax, consolidation patterns, PE clot burden
India’s radiology shortage is dire—just 6,000 specialists for 1.4 billion people (Indian Radiological & Imaging Association IRIA 2025 report), each managing 100+ scans daily. Reading 500-1,500 CT slices for intracranial bleeding/hemorrhages traditionally takes 30 minutes to 1.5 hours, where age related calcifications mask acute bleeds on 2D images, delaying intervention.
SuperOS Diagnostic AI redefines this. Brain CTs process instantly via slice-by-slice 3D volumetric analysis—voxel color differentials reveal hemorrhage shapes, distinguishing fresh bleeds from calcifications.
Hours of manual scrolling become seconds of flagged anomalies. Reports get done 30% faster. Radiologists apply expertise to clinical context, history, therapy—human insight AI can’t match.
One specialist’s capacity effectively triples, easing IRIA-highlighted shortages while ensuring no critical finding slips through. Precision radiology, scaled for India’s realities—and beyond
Super OS runs the IPD
When a patient books a surgery at Superhealth, SuperOS automatically plans and orchestrates the entire journey with minimal human intervention.
At the time of booking, SuperOS offers suitable surgery dates. Once confirmed, it coordinates the entire surgical schedule by analysing surgeon availability, operating-theatre capacity, procedure type (sterile or septic), anaesthesia requirements, recovery time, equipment needs and room allocation.
It creates an optimised surgical flow that allows surgeons to focus solely on performing procedures, rather than managing operational gaps typical of legacy hospitals. During procedures, SuperOS actively monitors timelines and automatically re-balances schedules across operating theatres if delays or extensions occur.
At the same time, patients and families receive a more predictable and transparent surgical experience, reducing anxiety caused by prolonged and uncertain waiting.
Patient Monitoring
When a patient is admitted in superhealth whether it is in the room or in the ICU, the patient is monitored entirely by Super OS with high context from the patient’s clinical records. This helps super OS set appropriate alerts based on the patient’s actual health and needs instead of just standard alerts that can often be inaccurate and sometimes can be dangerous. For example, for heart rate, typically industry has a standard range of below 50 bpm or above 120 bpm. However, if you are a long distance runner who is in the hospital, then maybe 48 is your normal resting heart rate. So it will keep beeping all the time leading to alert fatigue for the nursing departments. But more importantly, when your heart rate is 75 or 80, it is meaningfully elevated but there will be no alert. This is measurably worse care for patients. Super OS looks at your cardiac check data and automatically adjusts this to make sure you are getting personalised care. Obviously at all times doctors and clinical teams can change this if they want.
Medication Management (BETA)
As Superhealth operates as a zero-paper hospital and all prescriptions are generated through SuperOS, the system can automatically identify potential drug–drug interactions and alert clinicians before an adverse event occurs. This significantly improves patient safety compared with manual checks common in traditional hospitals.
This feature is currently in limited clinical testing and will be rolled out more broadly as it becomes fully integrated into the SuperOS core.
Super OS Improves Surgical Care
SuperOS is expanding specialty-specific workflows and clinical pathways for each department.
Surgical Site Healing (BETA)
After a patient’s discharge, SuperOS uses vision AI to assess post-surgical wound healing. Patients can scan their wound using the SuperOS web application during home bandage changes. The system evaluates healing quality, including scab formation, stitch integrity, and signs of infection.
If deviations from expected healing patterns are detected, SuperOS alerts the clinical team so early intervention can be initiated, significantly improving post-surgical outcomes.
Orthopedic Assessment and Post Surgery Care (BETA)
For knee and shoulder replacement patients, SuperOS tracks pre-surgery range of motion and continues monitoring progress through post-surgical physiotherapy. If recovery deviates from expected trajectories, alerts are sent to surgical teams for early corrective action.
Super OS enables Magic Discharge
Unlike traditional hospitals with hours and hours of delay for discharge, Superhealth delivers Magic Discharge – which is on time and instant. Once a doctor decides that a patient is fit for discharge, Super OS looks at all the case data and instantly writes a crisp discharge summary for doctor’s review. Doctors can make any edits and then approve it. At that point, the patient is discharged and can go home. There is no waiting for multiple departments or paperwork or clearances. Super OS has already done all that in the background instantly. Every customer who has experienced it has said it felt surreal, even magical.
Super OS helps improve medical quality
The best practices for improving clinical quality require continuous feedback loops that help improve the treatment protocols as well as clinician interactions. The normal process is to sample a few sets of cases per clinicians and enable peer reviews for them so everyone can benefit from multiple opinions. This is a standard process across all good hospitals around the world.
With Super OS we are able to take this to an entirely new level.
First, Superhealth’s clinical teams design best in class clinical protocols and treatment pathways for each of their respective specialties. Then we train Super OS on that and because Super OS is a single fabric that runs all aspects of the hospital, it also does real time clinical audits across consultations, tests, procedure recommendations as well as differential diagnosis. So it is way more comprehensive. In addition to this, Super OS doesn’t sample. It does it on every 100% of clinical interactions. So every patient gets the highest quality care, in real time instead of post fact analysis alone. This real time analysis gives us broad metrics which the clinical team reviews with far higher efficiency leading to a more holistic quality outcome.
This is a step change in medical quality and we believe is the new gold standard for clinical audits in the world.