MediClaim AI

IntelligentMedicalClaims Processing

Transform the medical claims lifecycle with AI-powered OCR extraction, automated adjudication, fraud detection, and a 24/7 claims assistant — reducing processing time from weeks to days.

AI OCR ExtractionClaim AdjudicationFraud DetectionClaims ChatbotHuman-in-the-Loop
Product Showcase

See MediClaim AI in Action

Explore the claims processing platform — document extraction, AI adjudication, and an intelligent claims assistant.

LIVE PREVIEW
Scanned Document
General Hospital — Discharge Summary
Page 1 of 3
PATIENT
Sarah Chen — PT-20847
DIAGNOSIS
Acute Appendicitis
ICD-10
K35.80 — Unspecified acute appendicitis
PROCEDURE
Laparoscopic Appendectomy — CPT 44970
TOTAL AMOUNT
$12,450.00 USD
Vision AI — 95%+ field accuracy
Structured Output
Patient Name
Sarah Chen
99%
Patient ID
PT-20847
99%
Diagnosis
Acute Appendicitis
97%
ICD-10 Code
K35.80
98%
Procedure
Laparoscopic Appendectomy
96%
CPT Code
44970
98%
Provider
General Hospital
99%
Total Amount
$12,450.00
99%
Technical Architecture

How It Works — Technical Architecture

A 6-stage AI pipeline purpose-built for healthcare claims. From document ingestion to status management — every stage combines vision AI, LLMs, and human oversight.

Stage 01

Document Ingestion

Staff uploads medical documents via drag-and-drop — hospital bills, claim forms, receipts, discharge summaries, lab reports.

Under the Hood

Supports PDF, JPG, PNG formats. Multi-page PDFs rendered at 200 DPI via PyMuPDF. Each page base64-encoded and sent to vision AI model. Drag-and-drop interface with file validation.

Stage 02

Vision AI Extraction

State-of-the-art vision language model reads every line of text and extracts structured fields — patient info, diagnosis, ICD-10 codes, billing details.

Under the Hood

ByteDance Seed 2.0 Lite vision model for context-aware OCR. Extracts: patient name, ID, provider, physician, date, diagnosis, ICD-10 code, procedure, CPT code, amount, currency. <10s extraction time, 95%+ field accuracy.

Stage 03

Intelligent Adjudication

Comprehensive streaming AI analysis: coverage check, documentation review, code verification, amount assessment, and fraud risk scoring.

Under the Hood

Streaming analysis via Server-Sent Events (SSE) — reviewers see results in real-time, section by section. Coverage analysis against regional insurance plans. ICD-10/CPT code cross-referencing. Amount outlier detection. AI-generated fraud risk level (Low/Medium/High).

Stage 04

AI Claims Assistant

Natural language chatbot for claims inquiries — billing code lookup, coverage questions, process guidance, and status updates.

Under the Hood

Streaming responses via SSE for natural typing feel. Pre-built suggested questions for quick start. Answers claims processes, explains ICD-10/CPT codes in plain language, guides required documentation. RAG retrieval over policy and procedure knowledge base.

Stage 05

Decision Support

Advisory recommendations: Approve, Deny, or Request More Information — with detailed reasoning. Humans always make the final call.

Under the Hood

AI adjudication is advisory only. Provides structured recommendation with confidence score and reasoning. Human staff use dedicated action buttons (Approve / Deny / Under Review) for final decision. Ensures regulatory compliance and clinical accountability.

Stage 06

Status Management

Full claim lifecycle tracking: Pending, Under Review, Approved, or Denied. Action buttons on every claim card with real-time dashboard.

Under the Hood

Claim status lifecycle with audit trail. Real-time dashboard: total claims, pending reviews, approval rates, total amounts. Status changes reflected instantly across claims list and dashboard. CloudWatch logging for compliance audit trails.

Proven Results

Built for Healthcare Stakeholders

Real results from MediClaim AI deployments across Southeast Asian healthcare systems.

Regional Hospital Network

Healthcare

A network of 5 hospitals across Southeast Asia deployed MediClaim AI to automate claims processing, reducing cycle times from weeks to days with AI-powered OCR, adjudication, and fraud detection.

85% reduction in claims processing time
40% fewer claim denials due to AI-verified coding
3x staff productivity — AI handles data extraction and initial review
Real-time fraud risk scoring on every claim
85%
Faster processing

Hospitals & Clinics

Faster reimbursement cycles, reduced admin burden, AI-verified billing codes.

80%
Review automation

Insurance Companies

Automated initial claim review, enhanced fraud detection, consistent analysis.

3x
Staff productivity

Third-Party Administrators

Scale claim volume processing without proportionally scaling staff.

40%
Fewer denials

Healthcare Networks

Standardized claim processing across multiple facilities and providers.

ROI & Impact

Measurable Returns for Healthcare

Real metrics from MediClaim AI deployments across Southeast Asian healthcare systems.

85%
Reduction in Processing Time

Claim cycle reduced from 30+ days to 1-3 days with AI-powered OCR extraction and automated adjudication.

40%
Fewer Claim Denials

AI-verified ICD-10 and CPT codes reduce coding errors — the #1 cause of claim denials.

3x
Staff Productivity

AI handles data extraction, code verification, and initial review — staff focus only on final decisions and exceptions.

60%
Cost Savings

Lower operational costs through automated OCR, reduced manual data entry, and faster claim resolution.

<10s
Document Extraction Time

Vision AI reads and extracts structured data from scanned documents in under 10 seconds per page.

95%+
Field Extraction Accuracy

Context-aware vision model understands document semantics — not just template matching.

See Before vs After Comparison
Before GPTBots
Data Entry
Manual data entry from paper forms, 15-30 min per claim
ICD/CPT Coding
Staff manually lookup codes — 15-20% error rate
Claim Review
Multi-day review by multiple staff members
Status Inquiries
Phone/email, patients wait days for updates
Fraud Checks
Manual checks catch less than 3% of fraud
Claim Cycle
30-45 day average claim cycle
After GPTBots
Data Entry
AI OCR extracts data from scanned docs in seconds
ICD/CPT Coding
AI suggests accurate codes with confidence scores
Claim Review
AI generates comprehensive review in 30 seconds
Status Inquiries
AI chatbot provides instant answers 24/7
Fraud Checks
AI risk assessment on every claim automatically
Claim Cycle
Target: 1-3 day claim cycle

Transform Your Claims Processing

See how MediClaim AI can reduce your claim cycle from 30+ days to 1-3 days. Book a personalized demo.