NEXUSNOVA|v1.0|ONLINE
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Identify high-friction workflows → automate with AI + software + HIS/ABDM integrations → measure business impact (TAT · occupancy · denials).
_problem: Bed allocation by phone/WhatsApp. Occupancy invisible. ICU/ward transfers delayed.
_solution: HL7/FHIR ADT sync, real-time bed board (ward/ICU), AI allocator, HIS write-back, occupancy + ALOS dashboards.
_outcome: Bed assign 45m→5m, occupancy +12%, turnover +22%.
hero: 45m → 5m · +12% occupancy · turnover +22% · ALOS -0.8d · central board ward/ICU
_hospital_invariants
Lab/Pharmacy: embedded as handoff — not a standalone page. See module detail → Handoffs.
_problem: Discharge TAT 6-8h: pharmacy/lab clearance, e-summary, and referral packets are manual.
_solution: Automated discharge checklists, e-summary generation, pharmacy/lab triggers, inter-hospital referral tracker with SLAs.
_outcome: Discharge 6h→2h, referral leakage -35%.
hero: Discharge 6.2h → 2.1h · leakage -35% · e-summary auto · pharmacy/lab SLAs · WhatsApp family updates
_hospital_invariants
Lab/Pharmacy: embedded as handoff — not a standalone page. See module detail → Handoffs.
_problem: TPA approvals 15-30 days, billing errors, Ayushman packets incomplete, follow-up is manual.
_solution: OCR + rule engine, TPA portal RPA, claim status tracker, denial predictor, corporate tie-up pipeline.
_outcome: Claim follow-up 22d→9d, denials -30%.
hero: 22d → 9d follow-up · denials -30% · packet 71%→96% · denial predictor · corporate pipeline
_hospital_invariants
Lab/Pharmacy: embedded as handoff — not a standalone page. See module detail → Handoffs.
_problem: 68% after-hours enquiries unanswered. Triage is manual, ABHA creation inconsistent.
_solution: 24/7 AI triage agent (web/WhatsApp/phone) trained on departments + rosters, ABHA/FHIR write-back, ED queue + OPD slot sync.
_outcome: Response <22s, OPD capture +40%, ED wait -40%.
hero: <22s response · +40% OPD capture · ED -40% · 68% after-hours gap closed · ABHA + FHIR write-back · ED queue + OPD sync
_hospital_invariants
Lab/Pharmacy: embedded as handoff — not a standalone page. See module detail → Handoffs.
HIS stays, HospitalOS is the FHIR layer. No rip-and-replace. Parallel run, zero downtime.
| Capability | HospitalOS | HIS alone | SaaS point tools | Freelance |
|---|---|---|---|---|
| HIS replacement | Layer — no | — (is HIS) | Often rip & replace | Ad-hoc |
| ADT / FHIR sync | HL7/FHIR write-back | Manual/Excel | Partial | Custom once |
| Discharge↔TPA↔LIS linkage | FHIR Task → LIS/pharmacy | Paper chase | Point tool silo | Manual glue |
| TPA / Ayushman packet | OCR + validator 71%→96% | Typed, error-prone | Not covered | No validator |
| ED/OPD triage SLA | <22s + handoff queue | Phone queue | Chatbot only | No queue |
| ABDM M1-M3 / audit trails | Mapped in discovery | Not measured | Blanket claim | No trails |
| Delivery | Parallel run 3–6w, 99.9% SLA | — | Self-serve | No SLA |
> Table scrolls on mobile — HospitalOS = FHIR layer, not replacement. SaaS/freelance = silo or ad-hoc.
Discovery is the wedge — no commitment beyond audit. Per-bed SaaS thereafter. Offers via JSON-LD.
₹1–2L
Ops audit: ADT, discharge, TPA, OPD/ED, lab/pharmacy. Impact model + roadmap.
₹8–25L + ₹75k–3L/mo
For 100–300 bed hospitals. Per-bed SaaS + SLA.
Custom
Chains, medical colleges, Govt/trust.
Pricing JSON-LD OfferCatalog on this page · INR · Discovery non-refundable · Implementation phased 3–6w with parallel run · SLA 99.9% · India residency.
We'll map your current workflow and recommend the right system. No pressure, just clarity.