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Jump to:
Categories
Solutions
Description
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Clients
Use cases
EHR integrations
Client types
Differentiators
Keywords
Media
Company details
i3Claim
i3Claim

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Power BI
Power BI

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Categories

Solutions

Description

Product Description:

i3Claim: End to end Claims Processing Automation solution

With increasing complexities and evolving consumer demands, digitisation of the claims process has become essential for insurers to ensure fast settlement & payment of claims as well as drive customer satisfaction and set standards of service.

However, traditional claims processes involve intensive document-driven operations and the processing of non-structured data in multiple formats/nomenclature, making it difficult for insurers to process claims efficiently and quickly.

i3claim helps in capturing significantly more data-points in much lesser handling time. It reduces the extent of manual data capture and human errors in the entire claims process by more than 60%, making it much faster and extremely scalable.

i3claim accepts data input from a variety of sources like Hospitals, Pharmacies and Diagnostic centres. It extracts, classifies, and standardizes non-structured data present across multiple documents.

i3claim reduces the claims process to a single queue, by automating several parallel activities. This improves efficiency and leads to a reduction in cashless discharge time from 4 hours to less than 30 minutes for 90% of the cases. AI-assisted processing covers accurate capture of Non-payable and tariff comparison on 60% of the line-items. This has led to an average of USD 200-5000 savings per claim compared to manual processing.

About i3systems:
i3systems is a healthcare machine learning product company, with a particular focus on the insurance clients. Our system can work on a variety of documents and unstructured data-sets to create an extremely high-quality data essential in predictive modeling, process automation, and decision making. The company has created unique frameworks which blend computational linguistics, machine learning / AI models, image processing, NLP, quality-control rule engines, interactive interfaces; in order to solve a wide variety of problems associated with Underwriting and Claims decision making in health and life insurance companies. Company's products i3claim, DataMD, DigiTariff and TBots perform process-automation, straight-through-processing with zero manual-touch-points, fraud detection, and Multi-dimensional risk stratification in Claims, Underwriting, Tariff digitization processes. We are Leaders in Health Insurance market today because of our innovative platforms and commercial structure. We have proven our capabilities across large enterprise clients in India and Globally helping the likes of AXA Gulf, Bajaj Allianz, ICICI Lombard, Healthcare TPAs, etc. achieve: • Over 50% reduction in operational costs, • Our AI/NLP based models help in achieving more than 90% accuracy, • 70% decrease in processing time, • 300% improvement in skilled FTE productivity, • 90% reduction in leakages due to insufficient data and capture errors, • With 0% compromise on information security.
Product Description:
Create a data-driven culture with business intelligence for all
About Microsoft:
Microsoft is an American multinational corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. Microsoft’s devices and consumer (D&C) licensing segment licenses Windows operating system and related software; Microsoft Office for consumers; and Windows Phone operating system. The company’s computing and gaming hardware segment provides Xbox gaming and entertainment consoles and accessories, second-party and third-party video games, and Xbox Live subscriptions; surface devices and accessories; and Microsoft PC accessories. Its phone hardware segment offers Lumia smartphones and other non-Lumia phones. Its D&C other segment provides Windows Store, Xbox Live transactions, and Windows phone store; search advertising; display advertising; Office 365 Home and Office 365 Personal; first-party video games; and other consumer products and services as well as operating retail stores. Microsoft’s commercial licensing segments licenses server products, including Windows Server, Microsoft SQL Server, Visual Studio, System Center, and related Client Access Licenses (CALs); Windows Embedded; Windows operating system; Microsoft Office for business, including Office, Exchange, SharePoint, Lync, and related CALs; Microsoft Dynamics business solutions; and Skype. Its commercial other segment offers enterprise services, including premier support services and Microsoft consulting services; commercial cloud comprising Office 365 Commercial, other Microsoft Office online offerings, Dynamics CRM Online, and Microsoft Azure; and other commercial products and online services. The company markets and distributes its products through original equipment manufacturers, distributors, and resellers, as well as online. Microsoft Corporation was founded by [Bill Gates](https://www.crunchbase.com/person/bill-gates) and [Paul Allen](https://www.crunchbase.com/person/paul-allen) in 1974. It is based in Redmond, Washington.

Compatibility level

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Clients

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Use Cases

Description:

End to end Healthcare and Life Insurance Claims processing automation solution.

Pediatric use cases:

Yes

Users:

Healthcare Insurance providers, Healthcare TPAs, BPOs / GSIs

Description:

None provided

Pediatric use cases:

None provided

Users:

None provided

EHR Integrations

Integrations:

None provided

EMR Integration & Relevant Hardware:

None provided

EMRs Supported:

None provided

Hardware Compatibility:

None provided

Integrations:

None provided

EMR Integration & Relevant Hardware:

None provided

EMRs Supported:

None provided

Hardware Compatibility:

None provided

Client Types

None provided

Differentiators

Differentiators vs EHR Functionality:

None provided

Differentiators vs Competitors:

None provided

Differentiators vs EHR Functionality:

None provided

Differentiators vs Competitors:

None provided

Keywords

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Downloads

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Alternatives

Company Details

Founded in 2016

Founded in 1975

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