Thanvisree Thanvisree

Healthcare

INDUSTRY

Healthcare

HIPAA-Compliant IT for Healthcare Providers

Healthcare organizations handle sensitive patient data across complex, distributed environments. Our HIPAA-compliant solutions protect patient data while enabling digital transformation through cloud migration and AI.…

HIPAA / HITECH DPDP Act (India) CERT-In Directives NABH IT Standards HL7 FHIR R4 ISO 27799
0
Breaches in 3 Years
12
Facilities Protected
100%
HIPAA Compliance Score
68%
SOC Alert Reduction
Industry Pain Points

Challenges We Solve in Healthcare

Ransomware Targeting Healthcare

Hospitals are the highest-value ransomware targets. A single successful attack can take down patient records, imaging, and pharmacy systems — directly threatening patient safety.

Unmanaged IoMT Device Sprawl

A typical 500-bed hospital has 10,000–15,000 connected medical devices. Most run outdated firmware and cannot be patched, yet they sit on the same network as patient records.

EHR Integration & Data Silos

Fragmented HIS, LIS, PACS, and billing systems force manual data re-entry, causing errors and delaying care decisions. FHIR interoperability mandates are adding compliance pressure.

What We Deliver

Use Cases We've Deployed in Healthcare

Specific capabilities we've built and run for Healthcare organisations — not PowerPoint features.

HIPAA-Compliant Data Pipelines

End-to-end encrypted PHI flows between EHR, lab, imaging, and billing with role-based access, field-level encryption, and full audit logging.

Medical Device Network Security

IoMT device auto-discovery, micro-segmentation, and behavioural baselining protecting infusion pumps, monitors, and imaging equipment.

EHR Integration Automation

HL7/FHIR-based automated data exchange between disparate HIS, LIS, and PACS eliminating manual transcription and duplicate patient records.

Patient Data Anonymisation

AI de-identification for research datasets ensuring DPDP Act and HIPAA compliance while preserving clinical utility.

Clinical Workflow Automation

AI-driven appointment scheduling, discharge summaries, and prior authorisation cutting administrative burden on clinical staff by 35%.

Ransomware Protection & Recovery

Immutable backup architecture, network segmentation, and AI SOAR playbooks ensuring recovery in <4 hours with zero ransom paid.

Client Success Story

Real Results from a Real Engagement

Multi-Specialty Hospital Chain (12 facilities, 4,200 beds, 6,000 IoMT devices)

THE CHALLENGE

Three ransomware near-misses in 18 months. Legacy PACS systems and IoMT devices were unpatched and network-flat. An external HIPAA audit flagged 23 findings, threatening accreditation renewal.

OUR SOLUTION

Deployed AI-SIEM with passive IoMT discovery, VLAN micro-segmentation for all medical devices, immutable S3-compatible backup, and 24×7 MDR service covering all 12 facilities from a single SOC.

RESULTS ACHIEVED
  • Zero successful breaches across 12 facilities over 3 years post-deployment
  • All 23 HIPAA audit findings remediated — 100% compliance score on next assessment
  • 68% reduction in SOC alert volume through AI correlation and false-positive suppression
0 data breaches across 12 facilities in 3 years

Our Services for Healthcare

HIPAA compliance audits
Healthcare cloud migration (AWS/Azure)
Medical device security testing
EHR/EMR security assessment
AI for clinical workflow automation
Data encryption and access governance

Typical Clients

Hospitals & Clinics Health-Tech Companies Diagnostic Labs Pharmaceutical Companies
0

data breaches across 12 facilities in 3 years

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FAQ

Healthcare — Common Questions

We use agentless, passive network monitoring (network TAP or SPAN port) for IoMT devices. Behavioural baselines per device type detect anomalies without touching the device itself.

Yes. We provide a pre-audit gap assessment, remediation roadmap, and evidence collection automation. Our healthcare clients have achieved 100% audit closure rates within 90 days.

No. All AI processing runs on-premise or within your private cloud VPC. We never process or store identifiable patient data on shared or external infrastructure.