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    AWS AI Ready Healthcare DataLake

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    Sold by: phData 
    phData’s Trusted Healthcare DataLake platform helps providers and payers build a data foundation to accelerate the use and adoption of AI. AWS DataLakes allow organizations to centralize disparate datasets into a single governed and trusted environment designed for complex data structures and applications.

    Overview

    A well-architected data foundation is core to the success of any AI application. phData’s Trusted Healthcare DataLake allows payers and providers to ingest and centralize complex data sources such as EPIC, HL7, FHIR, EDI, and DICOM images into AWS with guardrails and security and governance built in.

    Together with Snowflake data can be enriched with defined business value and made available to business partners across the organization. Structured and unstructured data sources can be used natively within AWS and Snowflake to support new use cases that are not available in traditional EHR data warehousing offerings. Platform operations teams are provided an environment with near unlimited scale and capacity to provide predictable performance and costs for payers and providers of any size. These organizations can realize new revenue opportunities by creating data products in Snowflake’s Data Marketplace.

    Snowflake SCIM and AWS Identity Center provide for consistent governance and security access controls through existing AD groups. Strict access policies can be shared between AWS LakeFormation and DataZone with Snowflake’s RBAC hierarchies. Creating a secure and trusted data platform across multiple compute environments.

    Highlights

    • Proven data foundation and platform for storing and serving secure Healthcare data to all parts of the organization.
    • A platform that can operate on structured and unstructured data providing opportunities for new data and AI applications.
    • Scalable, performant, and cost effective platform with guardrails with defined budgets, altering, and monitoring.

    Details

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    Deployed on AWS

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