Multi-hospital admin
Manage multiple facilities from one console — with per-site permissions, branding, and reporting.
AI hospital management system — OPD/IPD, EMR, billing, pharmacy, lab + AI clinical copilot. HIPAA-aligned, BAA-ready. 30+ facilities live.
Live across 3 sites
Aiinfox HMS is built for hospitals and clinic chains that have outgrown spreadsheets, fragmented point tools, and HMS vendors who treat AI as a roadmap line item. The platform handles the full operational stack — patient flow, EMR, OPD/IPD, billing, TPA, pharmacy, lab, radiology, inventory, and reporting — and adds an AI clinical copilot baked into the workflows that drain clinician time: scribing visits, cross-checking prescriptions, flagging drug interactions, surfacing protocol answers, drafting discharge summaries. 30+ facilities run Aiinfox HMS today.
Architecturally, the system is HIPAA-aligned with audit logs on every record access, BAA-ready, and deployable as SaaS, single-tenant cloud, or on-prem for regulated workloads. Migration from HL7, FHIR, CSV exports, or legacy HMS systems is part of every onboarding — not a separate project line. The AI layer never makes a clinical decision on its own: the copilot summarises, suggests, and cross-references; clinicians keep authority on every entry. AI scribing alone has cut documentation time by 40% in production deployments.
Quick definition
An AI hospital management system is hospital software that runs the operational stack — patient flow, EMR, billing, pharmacy, lab — with AI assistance embedded in the time-draining workflows. AI handles ambient scribing, prescription cross-checks, drug-interaction warnings, and protocol search, while clinicians retain authority on every clinical decision. Aiinfox HMS is HIPAA-aligned, BAA-ready, and deployable on-prem.
Manage multiple facilities from one console — with per-site permissions, branding, and reporting.
Lifetime patient records, ICD/CPT coding, prescriptions, allergies, and a clinician-friendly UI.
Appointment scheduling, queue management, ward and bed allocation, and discharge workflows.
Itemised billing, package management, TPA workflows, insurance pre-auth, and clean claim submission.
Inventory, sample tracking, radiology dispatch, and result delivery — all wired into the patient record.
AI scribing, prescription cross-check, drug interaction warnings, and a search agent grounded in your protocols.
On-site or remote audit of current systems. Migration from HL7, FHIR, CSV, or legacy HMS — included in every onboarding, not a separate scope.
Turn on only the modules you need — OPD/IPD, EMR, billing, pharmacy, lab, TPA. Per-site branding, permissions, and reporting for multi-facility chains.
Ground the clinical assistant in your protocols, formulary, and SOPs. Refusal layer ensures the AI defers to clinicians on every clinical decision.
Staff training, parallel run, cutover. Audit logs from day one. Optional 24×7 support retainer for the first 90 days post-launch.
Aiinfox HMS replaced three separate tools and our clinicians actually use the AI assistant. That's rare.
Medical Director
Multi-clinic group, IN
Aiinfox HMS is HIPAA-aligned with audit logs on every record access, BAA available, and GDPR-aligned for EU deployments. Data residency is configurable per region — we will not silently route patient data across borders.
Yes. SaaS, single-tenant cloud (AWS, Azure, GCP), or on-prem on customer hardware. On-prem deployments include the AI copilot running on self-hosted Llama 3, so no patient data ever leaves the hospital network.
Yes — migration is part of every implementation, not a separate project. We support HL7, FHIR, CSV exports, and direct database extracts from major legacy HMS and EMR systems. Parallel run during cutover is standard.
No. The AI scribes, summarises, cross-checks prescriptions, flags drug interactions, and searches protocols. Every clinical decision remains with the clinician. The assistant defers (refuses to answer) when it lacks confidence.
Pricing is per-bed or per-clinician depending on facility type. Mid-size hospitals typically land between $1,800 and $6,500/month all-in for SaaS. On-prem deployments include a one-time setup and an annual support agreement. Custom quote per facility.
Eight to twelve weeks for a single facility, including migration, configuration, AI copilot grounding, and staff training. Multi-facility chains roll out one or two sites first, then replicate. Parallel run during cutover is standard practice.
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Book a 30-minute walkthrough. We'll show ai hms on your workflows, with your real numbers.
info@aiinfox.com