Sovereign, on-premises AI that documents consultations, optimises clinical workflows, and closes the revenue gap — without changing how clinicians work.
Give clinicians back time at the point of care.
More patients seen — and more direct face time per visit.
Every billable charge captured, evidence-backed.
Native AI: one partner builds and runs the system; the other owns governance and outcomes — trusted AI, secure & sovereign by design.
Builds & runs CASE AI
Governance, adoption & go-to-market
Hospitals already run a HIMS, and many even have HL7 / FHIR (Fast Healthcare Interoperability Resources) connectivity — yet that data is rarely used to its full potential. Notes still don't trigger codes, codes don't trigger charges, and reconciliation happens too late. The missing edge is an intelligent LLM layer on top that turns this connected data into real-time clinical, operational and financial action.
Registration, diagnostics, pharmacy, and billing remain disconnected events, not one care story.
Orders, results, and stock flow through silos with no unified operational view.
Forms went digital. The documentation burden did not move.
Missed charges and manual reconciliation bleed revenue before the invoice is raised.
You've already invested in a HIMS, EMR and billing. CASE AI adds an intelligence layer on top — so every clinical event drives an operational action and a financial outcome in real time, without ripping anything out. The mechanics underneath:
Encounters, notes, diagnoses, orders, medications, and discharge summaries.
Beds, wards, queues, staff, stock, and real-time dashboards.
Charge capture, invoicing, scheme coverage, claims, and reconciliation.
FHIR-aligned APIs, ABDM workflows, terminology bindings, and open plugins.
Every patient event updates the record, the operational queue and the bill at the same moment — so clinicians, admins and finance work from one live picture instead of chasing each other. Three flows, one engine:
Registration → OPD → IPD → ICU → Discharge → Follow-up, end to end.
Orders, results, decisions, and longitudinal context — visible at every touchpoint.
Charges generated at point of care, tracked through invoicing, payments, and reconciliation.
One consultation triggers three steps — reducing documentation burden, shortening turnaround times, and closing every revenue gap. No change to how clinicians work. And when the doctor clears discharge, the billing, evidence, NOCs and insurer-ready packet are already moving — so patients are not left waiting all day for paperwork and approvals.
When discharge is initiated, CASE AI prepares an insurer-ready discharge pack — checking the discharge summary, diagnosis codes, procedures, pharmacy, lab, OT and ward charges, and department clearances — helping reduce late approvals, avoidable room rent, and bed-blocking delays.
Every inference runs inside your building — no patient record ever touches an external cloud. That is not just good practice: under the DPDP Act 2023 it is fast becoming what regulators and boards expect.
All AI inference runs on your own on-premises GPU — no subscription, no latency, no exposure.
Zero patient data sent to any external cloud, ever.
Patient data never leaves the hospital premises. Complete ownership, governance, and control stays with your institution — always.
Immutable audit trail with DPDP-compliant hard-delete on request.
One engine, 15 zones. Start where the return is fastest — expand at your pace.
Same documentation and charge logic — across every care setting, every time.
Notes, codes, and charges generated in real time from the consultation.
Full documentation rigour even in high-pressure workflows.
Ward rounds, orders, and discharge summaries — all feeding the revenue engine.
Monitoring encounters documented and reconciled — no short-stay charge missed.
Regulation and payer scrutiny are moving now. Adopting sovereign, on-premises AI turns each of these into an advantage — rather than a scramble later.
The Ayushman Bharat Digital Mission is pushing hospitals toward interoperable, FHIR-aligned records. An AI-ready foundation is fast becoming the competitive baseline — not a nice-to-have.
Patient-data protection is a legal obligation, not an IT footnote. Sovereign, on-premises AI lets you adopt AI while staying compliant — where cloud AI tools create fresh exposure.
Payers and TPAs demand more documentation and reject more claims. Evidence-backed charges and structured discharge clearance cut disputes, rejections and delays.
See the full capability in a single end-to-end walk-through — from consultation capture to charge reconciliation and discharge clearance, with zero workflow disruption for your clinical team.
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