6 Essentials for implementing Data-as-a-Service

  • February 26, 2019
  • 2:00 PM – 3:00 PM ET
  • Online

Improving quality while lowering costs is a recurring theme for many healthcare organizations today, yet barriers exist with the massive amount of data being collected across multiple organizations and applications.  Additionally, data silos create massive lag times that prevent population health programs from identifying the most costly insured in time for intervention. IT leaders must have a strategy to connect disparate systems, while securing the data in order to meet this need.

Red Hat® Intelligent Data-as-a-Service (iDaaS) is a comprehensive standards-based, self enclosing platform, that bridges the data gap regardless of geographic or organizational separation.  Data is intelligently routed and enables sharing without duplication, all while enforcing context based security. But what is needed for this architectural approach to be successful?

Join our upcoming webinar where we will review use cases for iDaaS from Red Hat healthcare customers, as well as the critical elements for a successful implementation.

Learning Points:

  • Interoperability challenges within the healthcare industry – FHIR and HL7
  • Customer use cases for intelligent decisioning
  • 6 Essentials for successful implementation of Data as a Service


Atif Chaughtai
Chief Technologist, Healthcare North America
Red Hat

Atif Chaughtai is the Chief Technologist of Healthcare NA at Red Hat. He brings over 18 years of experience in information technology with a focus on Healthcare and Life Sciences. At Red Hat, Chaughtai helps customers align with the Red Hat portfolio, while serving as a champion for emerging requirement and feedback needs through the product and engineering team. He is active participant on various Healthcare and Life Sciences standards committees.

Prior to joining Red Hat, Chaughtai worked at the National Institutes of Health (NIH) as an Enterprise Architect where he was tasked with solving some of the most critical challenges faced by the agency. He worked on streamlining clinical research programs while ensuring HIPAA compliance and was recognized multiple times for his contribution to the NIH’s mission.

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