Hospital Revenue Intelligence · AI Billing · Revenue Cycle · India

Stop losing revenue your hospital already earned.

DeepScience Tech's Hospital Revenue Intelligence module uses AI to detect revenue leakage, optimise payer mix, accelerate insurance claim settlements, and give your CFO real-time financial visibility — recovering an average 18% of previously untracked billing within the first quarter of deployment.

The Revenue Problem

Indian hospitals lose 15–25% of revenue to avoidable leakage.

Revenue leakage in hospitals happens at every stage — unbilled consumables in OT, upcoded insurance claims that get denied, delayed billing for IPD patients, and discharge without payment for self-pay patients. Most hospital finance teams discover these gaps only at month-end, when it's too late to recover. DeepScience Tech's Revenue Intelligence catches them in real time.

18%
Avg revenue recovered
< 24hr
Claim submission time
95%+
Clean claim rate
Real-time
Leakage alerts
Revenue Intelligence Features

AI-powered revenue cycle management, built for Indian hospitals.

🔍

Revenue Leakage Detection

AI scans every IPD encounter for unbilled services — OT consumables, ICU equipment charges, high-cost injections, blood products, and procedure charges missed during busy clinical workflow.

📋

Insurance Pre-authorisation

Smart pre-auth request generation with AI-suggested diagnosis codes and procedure codes. Tracks pre-auth status, flags missing auth before procedures, and manages enhancement requests.

Accelerated Claim Submission

Claims submitted within 24 hours of discharge with complete documentation. AI checks for common rejection triggers (missing documents, incorrect codes, duplicate submissions) before submission.

🔄

Denial Management

Denied claim categorisation (clinical, administrative, technical), root cause analysis, one-click re-submission workflow, and denial trend reporting to eliminate systemic rejection causes.

💰

Payer Mix Optimisation

Real-time payer mix dashboard — cash, TPA, government scheme, corporate. Alerts when payer mix shifts unfavourably, with revenue impact analysis and capacity recommendation.

📊

CFO Dashboard

Real-time revenue, collections, outstanding, and cash flow. Aging analysis by payer, department-wise revenue, doctor-wise contribution, and predictive monthly close projection.

🏥

Package Management

IP package billing with automatic excess charge identification, package vs non-package comparison, and package profitability analysis by procedure and surgeon.

⚠️

Discharge Without Payment (DWP) Prevention

Real-time alert when a patient is being discharged with outstanding balance. Automated payment reminder to patient, guarantor call list, and credit extension approval workflow.

📈

Revenue Benchmarking

Compare your hospital's revenue per bed, ALOS, and payer mix against anonymised industry benchmarks — identifying which departments have the highest improvement opportunity.

Insurance & TPA Management

50+ TPA integrations. One claims dashboard.

Managing claims across 10–20 different TPA portals is one of the most time-consuming tasks in hospital billing. DeepScience Tech's Revenue Intelligence integrates with 50+ TPA and insurance company portals — submitting claims, tracking status, and posting payments automatically.

  • Star Health, New India, United India, Oriental, National Insurance
  • ICICI Lombard, HDFC ERGO, Bajaj Allianz, Tata AIG, SBI General
  • PMJAY / Ayushman Bharat — pre-auth, claim, and settlement
  • CGHS / ECHS / ESI — government employee schemes
  • Aarogyasri (Telangana), Arogyasri (AP), Mahatma Phule (MH)
  • Corporate accounts (TPA: Paramount, Family Health Plan, Medi Assist)
  • Auto-status tracking without logging into each portal
  • Payment reconciliation with bank credit advice
Claims Submitted This Month847
Clean Claim Rate96.2%
Pending Pre-auth23
Denied Claims31
Amount Recovered (MTD)₹ 62.4 Lakh
Outstanding > 90 Days₹ 18.2 Lakh
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FAQ

Common questions

How does the AI detect revenue leakage?
The AI model is trained on hospital billing patterns and clinical order data. It identifies statistical anomalies — for example, an ICU patient stay with no ventilator charges, or an OT case with no implant billing when the procedure type typically uses implants. These are flagged in real time for billing staff to review and correct before discharge.
How long does it take to see ROI?
Most clients see measurable ROI within 60–90 days of go-live. The initial revenue recovery from leakage detection typically pays for the annual subscription cost within the first quarter. We track this through our ROI dashboard that shows cumulative recovered revenue since implementation.
Can it work with our existing HIS / billing system?
Yes. Revenue Intelligence can be deployed as a standalone analytics and workflow layer on top of your existing HIS — pulling data via API or database connection. It does not require you to replace your current billing system, though the deepest integration is achieved when used with DeepHealth AI HIMS.
What happens to denied claims? Does the system help with appeals?
Yes. Denied claims are automatically categorised by denial reason (COB issues, missing auth, clinical justification needed). For clinical denials, the system generates a peer-to-peer review request template with supporting clinical documentation. Administrative denials are auto-corrected and resubmitted where possible.

Stop the revenue leak in your hospital.

Book a revenue leakage assessment. We'll analyse 3 months of your billing data and show you exactly where revenue is being lost — before you commit to anything.