Registration through to the consulting room, with national health-ID and self-service built in.
Outpatient, inpatient, emergency, critical care and surgery share one clinical encounter, so a patient moving between them carries a single continuous record rather than a trail of handoffs.
Each specialty ships as its own workflow rather than a generic form re-labelled, with the clinical detail those departments actually work in.
Zypocare connects directly to bedside medical devices, so readings flow into the patient record automatically. No nurse re-typing numbers off a screen, and no transcription errors.
Ventilator settings and readings stream directly into the ICU flowsheet in real time, giving intensivists a continuous, accurate respiratory record without manual entry.
Bedside monitors and laboratory analysers feed vitals and results straight into the chart and the lab worklist over standard hospital protocols.
A dedicated device gateway speaks the protocols hospital equipment already uses, so devices connect without proprietary middleware.
Register, key and monitor connected devices from a single screen, with secure per-device authentication.
Automatic charting removes the two biggest sources of ICU data error — missed readings and mis-transcribed numbers — and frees nursing time for care. Every connected reading is captured, timestamped and audit-logged.
Zypocare's clinical AI is grounded in the hospital's own data and documentation. It assists inside the consultation and the chart, not as a chatbot bolted on the side.
Checks drug-drug interactions, allergies and contraindications as medicines are ordered, with a hard stop until known allergies are asserted.
A retrieval-grounded assistant answers clinical and operational questions from the hospital's schema, protocols and documentation, with sources rather than guesses.
Drafts clinical summaries and structures notes from the encounter, so clinicians spend less time typing.
Suggests an emergency severity level from presenting vitals and complaint, supporting the triage nurse rather than replacing them.
Helps draft lab and radiology reports from structured findings, keeping the verifying clinician in control.
Generates plain-language briefings over live operational indicators, surfacing the day's risks and outliers for management.
Runs where the data lives. Clinical AI can operate on an on-premise clinical language model, so patient information never leaves the hospital's environment. Where policy permits, a cloud model can be used instead — the choice is the hospital's, enforced per deployment.
The non-clinical services most systems ignore — housekeeping, linen, kitchen, sterile supply and maintenance — managed with the same rigour as clinical care.
A complete financial spine, driven by clinical events rather than manual entry.
Zypocare is designed to the Ayushman Bharat Digital Mission (ABDM) standards, and carries the statutory and surveillance reporting Indian hospitals are required to file.
Create or link a patient's ABHA health ID at the front desk, connecting their record to the national health ecosystem.
Share and receive health records through ABDM's consent framework. The hospital acts as both information provider and requester, always under patient consent.
Notifiable-disease case reporting, surveillance signals, cluster and investigation tracking, and submission to government portals.
ICD-10, LOINC and SNOMED coding underpin diagnoses, orders and catalogues for interoperable, standards-based records.
Aligned to ABDM standards and configurable per facility. ABHA and consent-based exchange activate once a hospital's ABDM credentials are configured, so a facility can go live on the national health network without custom development.
Every action is permissioned, scoped and recorded. Sensitive workflows enforce separation of duties, and the record is tamper-evident.
Availability of individual capabilities may depend on the modules licensed and the deployment configuration. ABDM and device-connectivity features activate once the relevant credentials and equipment are configured. Clinical AI assists clinicians and does not replace clinical judgement.