Healthcare Evidence • Claims • Workflow Intelligence

Making healthcare evidence easier to review, validate and act on.

CareLayer AI builds intelligent workflow solutions that help hospitals and healthcare organizations reduce administrative friction across cashless claims, prior authorization, and clinical-financial evidence review.

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Current Research: Cashless Claims & Pre-Authorization

Hospital insurance teams often coordinate information across claim forms, discharge summaries, bills, laboratory reports, diagnostic reports, and policy documents. When information is incomplete or inconsistent, the result can be repeated payer queries, additional documentation requests, discharge delays, and manual rework.

Our Approach

CareLayer AI is exploring how an evidence intelligence layer can work with existing hospital and payer systems to identify documentation and evidence issues before submission, connect clinical and financial information, and support faster human review without replacing the reviewer.

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Cashless Claims & Revenue Cycle Reduce documentation gaps, payer queries, claim rework, billing inconsistencies, and discharge delays.
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Pre-Authorization Readiness Identify missing or inconsistent information before authorization requests reach the payer.
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Evidence Intelligence Connect diagnoses, treatments, labs, discharge documentation, bills, and policy information into one evidence view.
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Healthcare Interoperability Integrate intelligent workflows with existing hospital and payer systems using standards such as FHIR.

We Are Speaking With Hospitals

We are currently speaking with hospital Insurance/TPA Desk, billing, revenue-cycle, and technology teams in India to understand where the greatest operational friction exists. Our goal is simple: understand where hospitals lose the most time before deciding what technology should be built.

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MN

Founder Background

CareLayer AI is led by Murali Nidugondi, a senior healthcare technology leader with 28+ years of experience designing and modernizing enterprise platforms across healthcare, distributed systems, cloud-native architecture, and AI-enabled systems.

Murali has worked with Siemens, Cerner, and Oracle Health, serving in roles such as Solution Architect, Platform Lead, Architect, and Team Lead.

Prototype & Platform Demos

Our prototypes explore how fragmented healthcare information can be transformed into structured, explainable evidence for human review while integrating with existing healthcare systems.

🧾 Claim Evidence Review Prototype

From Hospital Documents to a Unified Evidence View

An early prototype that analyzes multi-document claim packages and creates a structured view for human review. It demonstrates discharge-summary-led synthesis, bill-to-clinical evidence mapping, diagnosis normalization, cross-document identity checks, gap detection, and pre-authorization-to-discharge comparison.

✓ Multi-document analysis✓ Clinical + billing evidence mapping ✓ Evidence-gap detection✓ Pre-auth → discharge comparison ✓ Cross-document consistency✓ Human-in-the-loop review
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Prototype capabilities are under active validation with healthcare domain experts. No payer or provider endorsement is implied.

🔗 Interoperability Demo

NHCX Interoperability Platform — Technical Walkthrough

How CareLayer AI connects healthcare data sources using FHIR R4, HL7, and X12. Demonstrates healthcare data transformation, intelligent workflow routing, and standards-based integration across prior authorization and claims workflows.

✓ FHIR R4 · HL7 · X12
✓ Real-time routing
✓ Standards-based integration
✓ Prior auth

* Prototype — adaptable to claims, prior auth, and operations workflows.

🎯 Platform Overview

CareLayer AI — Platform Overview

A concise overview of the CareLayer AI platform — problem framing, solution architecture, workflow validation, AI-assisted reporting, and governed healthcare automation. Built for healthcare leaders, design partners, and technology teams.

✓ Pre-submission validation
✓ AI-driven reporting
✓ No-code metadata
✓ Governed AI
~5 min

* Platform walkthrough with voiceover — problem, architecture, workflow demo, and capabilities.

Why Now

AI is lowering the barrier to building intelligent software, but the real advantage comes from understanding the right problems, workflows, data, users, and constraints. CareLayer AI is focused on combining deep healthcare technology experience with practical execution.

Work with cashless claims or pre-authorization?

We would value 15–20 minutes to learn where your team sees the most rework, payer queries, and delays.

hello@carelayerai.com