🚀 Complete Healthcare SaaS Enterprise Suite

Onboard Your Healthcare Facility

Select your institution category (50+ platform-level tenant types supported), reserve your custom subdomain, calculate ROI, test scanner compatibility, and launch your tenant in minutes.

1Facility Type

2Institution Profile

3Category Setup

4Super Admin

5Plan & Launch

Select Healthcare Institution Type

Choose from 50+ platform-supported institution categories (`slug` & `prefix` binding).

Selected: Diagnostic CentreID Prefix: DGNSlug: diagnostic_centre

🏥 Hospitals

🩻 Diagnostic / Laboratory

👤 Clinics / Outpatient

🩺 Specialized Healthcare

🦷 Dental

💊 Pharmacy

🏛️ Public / Primary Health

🌿 AYUSH

🧮 ROI & Efficiency Calculator

Calculate Your Hospital's Time & Cost Savings

See how Niancares PACS SaaS & AI CAD reduces turnaround time from 4.5 hours to 15 minutes.

Daily DICOM Scan Volume (CT / MRI / X-Ray):50 Scans / Day

On-Site & Remote Radiologists:3 Radiologists

Currency Display:

⏱️

Turnaround Time Reduction

4.5 Hours ➔ 15 Mins

675 Hours Saved / Month

💰

Estimated Monthly Savings

$27,000

Annual: $324,000

🎯

AI CAD Validation Efficiency

99.4% Error Reduction

Dual-layer AI & QC Verification

🔌 DICOM Gateway Compatibility

Verify Your Scanner Modality Compatibility

Check zero-friction connection instructions for your existing CT, MRI, X-Ray, and Mammography scanners.

Select Scanner Manufacturer & Model:

Select Modality Type:

🟢 100% COMPATIBLE

GE Healthcare (Revolution CT / Optima MRI) — CT Scan

Connection Protocol:DICOM C-STORE over TLS 1.3

Default DICOM Port:Port 104 / 11112

Web Access API:WADO-RS / QIDO-RS Enabled

Setup Time:< 10 Minutes via Edge Gateway

🔒 PHI De-identification Sandbox

DICOM Header Tag Scrubbing (PS 3.15 Annex E)

Demonstrating client-side anonymization of patient identifiers before sending instances for AI CAD inference.

De-identification Engine State:

(0010,0010) Patient's Name

[ ANONYMIZED_PATIENT_992 ]

(0010,0020) Patient ID / SSN

[ SCRUBBED_HASH_0X9F4 ]

(0010,0030) Patient's Birth Date

[ 1980-01-01 (YEAR_ONLY) ]

(0008,0080) Institution Name

NIANCARES_TRUSTED_NODE

✓ Compliant with HIPAA Safe Harbor §164.514(b) & DICOM PS 3.15 Annex E Protocol.

🏛️ National Health Stack Compliance

ABDM M2 & M3 Certified Health Repository

Ayushman Bharat Digital Mission (ABDM) integration for ABHA ID creation, health record linking, and consent artifacts.

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ABHA ID Creation & Verification

Instant ABHA (Ayushman Bharat Health Account) 14-digit number generation & Aadhaar OTP verification.

📑

ABDM M2 Milestone (HIP / HIU)

Health Information Provider (HIP) & Health Information User (HIU) diagnostic report linking.

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ABDM M3 Consent Artifacts

Patient-centric consent manager integration for secure data sharing with encryption.

⚡ Clinical Speed & Quality Guarantee

Guaranteed < 60-Minute Emergency SLA

Round-the-clock priority escalation for critical cases like Acute Ischemic Stroke, Intracranial Hemorrhage, and Pneumothorax.

< 60 MinsEmergency Turnaround SLA

24 / 7Sub-Specialist Radiologist On-Call

100%Clinically Validated & Double-Checked

🔧 Self-Service IT Network Diagnostic

DICOM Network & Port Readiness Tester

Test your hospital IT network bandwidth, DICOM ports (104 / 11112 / 443), and firewall readiness for Niancares Edge Gateway.

🌐 Global Healthcare Standards

Multi-Region Compliance & Currency Switcher

Select your operating region to view tailored regulatory standards, currencies, and data residency protocols.

Primary Regulations:CDSCO Medical Device Rule • ABDM M2/M3 • DISHA

Billing & Currency:₹ INR • GST Compliant Invoicing

Data Residency:MeitY Empanelled Cloud (Mumbai & Hyderabad)

📄 Branded Report Generator

Custom Branded Radiology AI Reports

Preview custom Word & PDF radiology reports featuring hospital header logos, keyframe DICOM images, and AI findings.

Hospital / Clinic Branding Name:

Report Template Type:

City Memorial Hospital & Diagnostic Center

Department of Radiology & Imaging Science • Niancares Network

Patient Name: DEMO_PATIENT_99

Age / Gender: 52Y / Male

Study Date: 2026-09-07

Modality: CT Brain Non-Contrast

Clinical Findings & AI CAD Analysis:

• AI CAD Analysis: Early hyperdense MCA sign detected at slice 14 with 98.2% AI confidence.
• Ventricles: Normal size and configuration with no midline shift.
• Impression: Features suggestive of acute ischemic stroke in right MCA territory. Priority triage alert sent.

Dr. Neha Sharma, MDSenior Consultant Radiologist

Niancare AI System v3.2Validated CAD Triage Engine