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The e-Claims Post Office through Riayati provides the data exchange system that facilitates the secure exchange of health insurance claims and related data between Healthcare Providers and Payers operating in the Northern Emirates in UAE.

It focuses on the insurance-based workflows connecting Payers and Providers in the market through a unified platform and utilizing standardized code-sets and transaction schemas. It also enables the exchange of insurance financial transaction requests a nd responses between Payers and Providers such as eligibility checks, authorizations, claim submissions and electronic prescriptions.

e-Claims Post office offers a unified portal that enables providers to send eligibility and authorization requests, e-prescription orders, claim submissions and view the Payers’ responses. It is also used for user registration and as a gateway to all the e-Claims Post Office applications, documentations, user manuals, standards and code lists, and technical specifications.

E-claims post office in numbers

Last updated on October 2024

Insurance Claims

20.4 M

Insurance Claims

Connected Clinicians

11,300+

Connected Clinicians

Connected Healthcare Providers

1.3 K+

Connected Healthcare Providers

Integrated Insurance Companies and Third-Party Administrators

26

Integrated Insurance Companies and Third-Party Administrators

Benefits of e-claims post office

Increased Productivity

Increased Productivity

Expedite the process of authorization and settlement of claims thereby increasing operational efficiencies and creating cost reduction.

Improved Performance

Improved Performance

Electronic exchange of insurance requests in real time has reduced paperwork and helped to improve the processes.

Insurance Accountability

Insurance Accountability

Bringing accountability to the insurance agencies and third-party administrators in the Northern Emirates region.

Unified Data Environment

Unified Data Environment

Providing a unified and cohesive environment to collect valuable health and financial data to analyze the insurance and clinical data of patients.

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