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Health Insurance Claims Automation API | InterPixels AI2026-05-07T11:15:48+08:00

BUILT FOR HEALTH INSURANCE TPAs

The claims API between a document and a decision.

InterPixels AI validates every submission, extracts structured data across 40+ health insurance document types, and routes exceptions to your team, so adjudication starts where the document work ends. API-first. No TPA platform changes.

interpixels data extraction api tpa

THE CHALLENGE

TPAs face mounting operational pressure

Manual processes, document complexity, and rising claim volumes are compressing margins and stretching teams.

Claim Leakage

Incomplete submissions, fraud, and processing errors increase costs and create regulatory compliance exposure for TPAs.

Processing Speed

Manual document review creates settlement delays and customer dissatisfaction. Average 40 minutes per claim with current manual workflows.

Operational Costs

Staff hours spent on repetitive data entry and validation drain operational budgets without proportional business value.

Scale Challenges

Volume growth without proportional staff increase creates backlogs, burnout, and deteriorating service quality.

WHAT IS INTERPIXELS AI

Health Insurance Claims Intelligence API

InterPixels AI is a health insurance claims intelligence API developed by Clarion Analytics Pte Ltd, Singapore. Purpose-built for third-party administrators (TPAs) across Asia-Pacific, it is the claims API between a document and a decision, automating the full upstream document workflow so adjudication starts where the document work ends.

The platform is trained on the document types, languages, and claim formats that health insurance TPAs across India, Malaysia, Indonesia, Singapore, Thailand, and the Philippines process daily. It handles IPD, OPD, and KYC claim submissions across 40+ health insurance document types, validating completeness at intake, extracting structured data using OCR and Generative AI, and detecting fraud in real time. A built-in Human-in-the-Loop (HITL) layer routes low-confidence fields and exception cases to the TPAs operations team for review, ensuring accuracy, auditability, and regulatory compliance at every step.

Delivered via REST API, InterPixels AI integrates into any existing TPA platform with no system changes required. Structured JSON output is returned per claim, ready for adjudication.

BUSINESS IMPACT

What TPAs measure after going live

Quantifiable improvements across speed, cost, accuracy, and scale.

Faster Settlement

8x

Process claims in minutes, not hours. Cut adjudication cycles dramatically and improve member experience.

Lower Processing Costs

94%

Fields auto-validated. Staff review only low-confidence fields, not entire documents. Radically fewer manual touches per claim.

Prevent Claim Leakage

3

Real-time fraud detection layers applied during extraction. Catch irregularities before settlement.

Scale Without Hiring

∞

Handle volume spikes without adding headcount. The API scales instantly to process thousands of concurrent claims.

WHY TPAs CHOOSE US

Built for health insurance. Not adapted to it.

01

Health Insurance Specialist

Purpose-built for OPD and IPD claims. Trained on 40+ health insurance document types, not generic documents.

02

Blocks Incomplete Claims Early

Gate 1 validation stops bad submissions before they consume processing resources. Zero wasted compute on incomplete files.

03

HITL Governance Layer

Only low-confidence fields flagged for HITL review. Reviewers focus on exceptions , not whole documents.

04

Real-Time Fraud Detection

Prescription-pharmacy matching, invoice arithmetic validation, and document authenticity checks run during extraction.

05

Zero Platform Disruption

REST API. Plugs into your existing TPA system. No UI changes required. No retraining of staff. Live in 4–6 weeks.

PRODUCT CAPABILITIES

Built for the Complexity of Real-World Health Insurance Claims

Every capability purpose-designed for the document types, languages, and workflows that health insurance TPAs encounter in production, from printed forms to handwritten prescriptions, across any language your claims arrive in.

OPD & IPD Coverage

40+

Claim Document Types

Every document in the health insurance claims lifecycle, completeness validated, data extracted, zero manual sorting.

Printed Forms to Handwritten

200+

Any Language. Any Format.

200+ languages for printed documents, 50 languages for handwritten text. Accurate on every format encountered in real-world health insurance claims.

Fraud Detection

3

Layers of Validation

Prescription-pharmacy cross-validation, invoice arithmetic verification, and document authenticity analysis , applied during extraction, before any claim reaches an adjudicator.

HITL Governance

Route

Human Review

Low-confidence extractions and complex exceptions are automatically routed to your operations team, with full audit trail, field-level change log, and compliance record retained.

INSIGHTS & INTELLIGENCE

Thinking on Claims, Documents & TPA Operations

Perspectives and analysis from the InterPixels AI team on health insurance claims automation, document intelligence, and operational efficiency across Asia-Pacific.

COMMON QUESTIONS

Frequently asked by TPA decision makers

Intelligent document processing (IDP) in health insurance is the automated extraction, classification, and validation of data from claim documents, including hospital bills, prescriptions, discharge summaries, and KYC records. Instead of manual data entry, IDP uses OCR and Generative AI to read documents, identify document types, extract key fields with confidence scores, and flag anomalies for human review. For health insurance TPAs, IDP eliminates the upstream document burden that typically consumes the majority of claims processing time before adjudication even begins. InterPixels AI is purpose-built to deliver IDP specifically for health insurance claims.
Claim leakage is financial loss from health insurance claims paid incorrectly, through overbilling, fraud, processing errors, or duplicate submissions that should have been caught during validation. It is one of the largest sources of avoidable cost for health insurance TPAs. InterPixels AI prevents leakage by applying three real-time validation layers during extraction: prescription-pharmacy cross-validation, invoice arithmetic verification, and document authenticity analysis. These checks run before any claim reaches an adjudicator, catching irregularities at the source and not after settlement.
IPD (In-Patient Department) claims cover medical treatment requiring hospital admission, including surgeries, overnight stays, and inpatient procedures. OPD (Out-Patient Department) claims cover outpatient consultations, pharmacy visits, diagnostic tests, and clinic treatments that do not require admission. IPD claims involve a larger and more complex document bundle, up to 25 document classes including discharge summaries, operation theatre notes, hospital bills, and GISPA declarations. OPD claims typically involve 15 document classes including prescriptions, pharmacy bills, lab reports, and consultation receipts. InterPixels AI processes both claim types fully automatically, classifying and extracting data from every document class in each category.
AI detects fraud in health insurance claims by applying validation logic during the data extraction process itself, not after. InterPixels AI runs three concurrent fraud detection layers on every claim. Prescription-pharmacy cross-validation compares prescribed medications against pharmacy dispensing records to catch quantity mismatches and phantom prescriptions. Invoice arithmetic validation verifies that all line-item totals are mathematically consistent and match stated amounts. Document authenticity analysis detects editing artifacts, font inconsistencies, and tampering indicators in KYC and financial documents. Duplicate claim detection identifies identical submissions across patient, date, hospital, and amount. All fraud flags are embedded in the structured JSON output returned to the TPA system, with specific fields and evidence cited for each alert.
Human-in-the-Loop (HITL) in insurance claims processing is a governance layer where an AI system automatically routes low-confidence field extractions to a human reviewer for verification, rather than processing them automatically. In InterPixels AI, when a field is extracted below a confidence threshold, such as an ambiguous handwritten amount or an unclear diagnosis code, that specific field is flagged and sent to a TPAs operations team member for review. The reviewer sees only the fields requiring a decision, not the entire document. Once confirmed or corrected, the claim proceeds. HITL ensures that human accountability is retained at every uncertain decision point, making the system audit-ready and aligned with regulatory compliance requirements in health insurance markets.
Manual health insurance claims processing typically takes 30 to 45 minutes per claim for document review, data entry, and validation before adjudication begins. With InterPixels AI, the same upstream document work takes under 5 minutes. In production deployment with TrueCover India, processing time was reduced from 40 minutes to 5 minutes per claim across 15,000+ claims, an 8x improvement. The reduction comes from eliminating manual document sorting, data entry, and spot-check validation, which are fully automated by the InterPixels AI Claims Intelligence API. Adjudication speed then depends on the TPAs internal workflows, but the document bottleneck is removed entirely.
A Third-Party Administrator (TPA) in health insurance is a company that manages the claims processing function on behalf of insurers, self-insured employers, or government health schemes. TPAs act as the operational layer between policyholders and insurers, receiving claim submissions, validating documents, extracting data, adjudicating claims, and managing settlement. TPAs handle large volumes of claims daily across multiple document types, languages, and claim categories including IPD, OPD, and KYC. InterPixels AI is purpose-built for health insurance TPAs, automating the upstream document intelligence work that consumes the majority of a TPAs operational capacity before any adjudication decision is made.
OCR (Optical Character Recognition) for handwritten medical prescriptions uses a combination of image preprocessing and AI models trained specifically on handwritten text to identify and extract characters, drug names, dosages, and quantities from doctor-written prescriptions. Unlike printed document OCR, handwritten prescription OCR must handle inconsistent handwriting styles, medical abbreviations, multilingual scripts, and low-quality scans. InterPixels AI is powered by Gemini OCR, which supports 50+ languages for handwritten text recognition. Prescriptions written across a wide range of languages and scripts are processed with the same extraction pipeline, with per-field confidence scores returned for every extracted value so that low-confidence fields are automatically routed to human review.
Completeness validation in health insurance claims is the process of checking that all required documents are present in a claim submission before data extraction begins. Different claim types, IPD, OPD, and KYC, require different document sets. A missing discharge summary, absent prescription, or incomplete KYC document will cause downstream delays or rejections if not caught at intake. InterPixels AI performs completeness validation at Gate 1, the first processing stage, classifying all submitted documents, identifying the claim type, and verifying that every required document class is present. Incomplete submissions are blocked and flagged with a list of missing documents before any extraction resources are consumed, preventing wasted processing on claims that cannot be adjudicated.
A claims automation API integrates with a TPA platform via a REST API connection that sits between the document intake channel and the TPAs existing claims management system. TPAs send claim documents to the API via email, SFTP, AWS S3, or direct REST call, and receive structured JSON output containing extracted fields, confidence scores, completeness status, and fraud flags. No changes to the TPAs existing platform, UI, or workflows are required. The structured JSON output is formatted to the TPAs own schema requirements, so it plugs directly into their adjudication workflow without reformatting. Integration requirements and timelines vary based on each client's existing platform architecture and technical environment. SDKs are available for Python, Node.js, and Java.
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