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Data Operations

Advanced Data Operations
teams provide enterprises with:

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Consolidated infrastructure that is extensible, maintainable, scalable, and secure

Enterprise-scale architectures and advanced metadata management solutions

Dashboards and instruments that ensure operational integrity

Quickly enable new services as business needs evolve

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How We Approach
Data Operations

Review incumbent infrastructure and provide recommendations for modular and standards-based modernization

Provide service-agnostic, API-driven, and scalable solutions

Ensure reliability of High Availability and Disaster Recovery (HA/DR) services

Data Operations Success Stories

Data center consolidation and optimization

A government client needed to plan federal and agency-specific objectives for their data center consolidation and optimization initiative. Amida gathered requirements, mapped resources, and created an implementation roadmap.

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COTS data management solutions

As part of a team focused on data issues related to Covid-19, Amida offered technical support to implement and maintain a cloud-based commercial-off-the-shelf (COTS) data management solution based on Palantir Foundry. Our reusable PySpark scripts provide statistics and metrics that are used to objectively determine the quality of data sets in the platform.

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Your Team of Experts in Data Operations

  • Group 434 Cloud-agnostic and proficient in all cloud-service providers (Azure, AWS, GCP, and IBM)
  • Group 434 Application migration from on-premise to cloud
  • Group 434 Enterprise Data Warehouse methodologies
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Technologies We Utilize

Discover. Transform. Integrate.

Beyond Data Operations Solutions

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Blue Button

With one click of the “Blue Button,” an individual can download all the data that a healthcare organization has about them.

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HL7 FHIR (Fast Healthcare Interoperability Resources) is the industry-leading platform specification for health data exchange.

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Open Source

Open source infrastructure has many advantages, including: easier customization, better interoperability, greater base of service providers, superior cybersecurity, and lower total cost of ownership.

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Clinical Quality Measures

Many healthcare payers and providers are unable to leverage their data to improve quality of care.


Health Informatics

Amida is a leader in health informatics and data analytics.



Amida has a distinguished track record of cybersecurity innovation and business operations.


Hardware Trust

Complex electronic systems are assembled using components and processes from entities all over the world.

Want to Join a Growing Team of Data Experts?

Join a team that believes in the power
of collaboration and teamwork.

Amida Careers
Clients’ Feedback

Amida successfully built a proof-of-concept harmonization engine that identifies and intelligently weights the likelihood of duplicate matching patient records.

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Bo Dagnall
Chief Technologist and Strategist, Provider Segment (VA, DHA, Digital Health)
Clients’ Feedback

This application helps our client maximize the utility of their data assets, eliminating the need to chase charts.

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Russ Thomas
Clients’ Feedback

Amida’s Indaba platform enables our world-wide team of experts to gather research data and supports their efforts to arrive at consensus.

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Laura Neuman
Director, Rule of Law Program
Clients’ Feedback

Amida’s expertise in payer and provider data management enabled their team to complete the mapping with only moderate guidance from my team.

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William Walders
Chief Information Officer
Clients’ Feedback

Amida delivers deep subject matter expertise at the intersection of emerging technology standards.

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Sashi Ravipati
Senior Vice President – Architecture & ETS
Clients’ Feedback

Amida helped the NYS OMH to successfully deploy the VA’s open source EHR/EMR (VistA) across its 24 inpatient psychiatric hospitals and hundreds of clinics throughout the State.

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John Norton
Former Acting Deputy Commissioner and CIO
Clients’ Feedback

We value our relationship with Amida and actively seek opportunities to partner for health data services as this level of performance is rare.

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Mike O’Neill

Resources on
Data Management