Stop Losing Patients to System Fragmentation
Healthcare organisations spend 35% of clinical time navigating fragmented EHR systems, manual compliance checks, and siloed data warehouses. THANASI engineers AI-native interoperability layers that close these gaps — without ripping out existing infrastructure.
Top Pain Points
HIPAA/GDPR compliance across 10+ vendor systems consumes 20+ hours/week of compliance officer time.
Legacy EHR systems (Epic, Cerner, Meditech) don't interoperate — clinicians re-key data across platforms.
Clinical decision support is rule-based — misses complex multi-condition patients entirely.
Medical imaging AI requires cloud upload, violating patient data residency laws.
Revenue cycle leakage from uncoded procedures and denied claims averages 8–12% of total billing.
Business Problems
- EHR data silos causing duplicate testing (avg. $1,200/patient/year wasted)
- HIPAA audit prep taking 4–6 weeks manually each quarter
- No real-time clinical alerts — adverse events caught 48hrs late
- Medical imaging stored on-site but AI tools require cloud — compliance deadlock
- Revenue cycle: $4M+ in denied claims annually across 500-bed hospital
THANASI AI Solutions
- HL7/FHIR Middleware unifies 15+ EHRs into a single semantic data lake (no rip & replace)
- Automated HIPAA compliance engine continuously monitors & generates audit-ready reports
- On-premise Clinical AI: real-time sepsis, deterioration, and readmission risk alerts
- Private-cloud medical imaging AI — zero data egress, DICOM-native, on your servers
- Intelligent Document Processing for claims: auto-codes, pre-authorizes, and appeals denials
Measurable ROI
- $2.1M saved annually per 500-bed hospital from eliminated duplicate tests
- HIPAA audit prep drops from 6 weeks to 3 days — 90% cost reduction
- Clinical alert latency: 48hrs → 12 minutes — measurably improved outcomes
- Imaging AI throughput: 10× radiologist throughput, zero compliance risk
- Claims denial rate drops from 18% → 4% within 90 days of IDP deployment
Technologies Deployed
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