Digitization
Convert PDFs, scanned reports, discharge summaries and hospital files into structured data using OCR and pipelines.
AI • MLOps • Healthcare Intelligence
From Hospital Paperwork To AI-Powered Intelligence.
QUBEIUM helps hospitals digitize records, structure data, build ML models, deploy AI assistants and create production-grade MLOps platforms — improving revenue protection, patient experience and operational efficiency.
30+
Healthcare Use Cases
7
Clinical & Business Domains
₹38 Cr+
Estimated Annual Impact
Hospital AI Intelligence Platform
Data → Models → APIs → Monitoring → Impact
Clinical Risk AI
Claims & Revenue AI
TPA Intelligence
Operations Forecasting
Quality & Compliance AI
RAG Healthcare Assistant
End-to-End Transformation
From Paper Files To Intelligent Hospital Systems.
We do not start from models. We start from your hospital’s real data challenges — from paper documents to structured intelligence and AI-driven outcomes.
Data Engineering
Transform unstructured hospital data into clean, governed datasets ready for analytics and AI models.
AI & ML Models
Build models for patient risk, claims prediction, operations forecasting and compliance intelligence.
Deployment & MLOps
Deploy models as APIs, monitor performance, track drift and scale across departments.
AI Assistant Layer
RAG-Powered Healthcare Assistants With Agentic Workflows.
QUBEIUM builds AI assistants that understand your hospital’s documents, policies, claim rules, discharge summaries and operational workflows.
RAG-Based Knowledge AI
Instant answers from SOPs, billing rules, insurance policies and clinical documents.
Claims Intelligence Assistant
Identifies missing documents, suggests fixes and prepares claims before submission.
Patient Support Assistant
Reduces confusion around billing, co-pay, discharge and documentation processes.
Agentic Workflows
Triggers actions like claim validation, TPA follow-up alerts and operational escalations.
INNOVATE
OPTIMIZE
SCALE
Platform Vision
Not Just Two AI Models. A Scalable Hospital Intelligence Foundation.
The first pilot starts with visit risk classification and claim outcome prediction. The same data pipeline, model registry, prediction API and monitoring layer can later support multiple healthcare AI use cases across clinical, financial and operational workflows.
Clinical Intelligence
Identify high-risk patients earlier, predict readmissions, forecast length of stay and support critical care planning.
Revenue Protection
Predict claim rejection before TPA submission, identify denial reasons and reduce revenue leakage.
Operational Forecasting
Forecast beds, OT usage, pharmacy demand and staff load using hospital data patterns.
Compliance Readiness
Support NABH readiness, infection control, antibiotic stewardship and patient safety monitoring.
Healthcare AI Use Cases
Designed Around Real Hospital Business Problems.
01. Clinical Operations AI
- Visit Risk Classification
- Readmission Risk Prediction
- Length of Stay Prediction
- ICU Transfer Prediction
- Discharge Delay Prediction
- Mortality Risk Scoring
02. Revenue Cycle Management
- Claim Outcome Prediction
- Denial Reason Prediction
- Pre-auth Success Prediction
- Claim Amount Optimisation
- Revenue at Risk Dashboard
- Outstanding Claims Ageing
03. Insurance & TPA Intelligence
- Insurer Performance Scoring
- Policy Compliance Check
- Cashless vs Reimbursement Routing
- Fraud Detection
- TPA Turnaround Time Prediction
04. Doctor & Department Analytics
- Doctor Rejection Rate Monitoring
- Department Profitability Analysis
- Procedure-wise Claim Performance
- Discharge Summary Quality Check
05. Patient Experience AI
- Estimated Bill Prediction
- Co-pay Liability Alert
- Policy Exhaustion Alert
- Pre-discharge Bill Prediction
06. Operations & Capacity Planning
- Bed Occupancy Forecasting
- OT Scheduling Optimisation
- Pharmacy Demand Forecasting
- Staff Rostering Optimisation
07. Quality & Compliance AI
- NABH Audit Readiness Tracking
- Antibiotic Stewardship AI
- Surgical Site Infection Prediction
- Fall Risk Prediction
Business Impact
AI That Directly Protects Hospital Revenue.
QUBEIUM improves hospital outcomes across two critical dimensions — revenue protection and patient experience. We identify claim rejection risks, revenue leakage and delayed payments while simultaneously reducing patient friction through faster billing, better communication and smoother discharge processes.
37%
Current Claim Rejection Rate
<20%
Post-AI Target
8,500+
Claims Recovery Potential
₹38.25 Cr
Estimated Annual Revenue Impact
Patient Experience
Reducing Friction Across The Hospital Journey.
Our platform ensures fewer repeated document requests, clearer billing visibility, faster insurance approvals, early co-pay alerts and smoother discharge — improving both patient trust and hospital efficiency.
Delivery Roadmap
Start With A Pilot. Scale Into A Full AI Platform.
NOW
Month 1-2
Visit Risk Classification, Claim Outcome Prediction, Denial Reason Prediction.
NEXT
Month 3-4
Readmission Risk, Pre-auth Success, Revenue at Risk, Policy Compliance, Doctor Analytics.
EXPAND
Month 6-9
ICU Transfer, Claim Amount Optimisation, Fraud Detection, Bed Forecasting, OT Scheduling.
PLATFORM
Month 12+
Mortality Risk, Pharmacy Forecasting, Staff Rostering, SSI Prediction and multi-hospital rollout.
Leadership
Built By Technology And Business Leaders.
Mritunjai Shekhar
Chief Executive Officer (CEO)
Rahul Sahay
Chief Technology Officer (CTO)
Let’s Build Your Healthcare AI Roadmap.
Start with one high-impact AI pilot and scale it into a complete hospital intelligence platform.
Phone: +91-8987804058
Email: qubeium@gmail.com
Website: www.qubeium.com