Amadeus delivers a comprehensive approach to acquiring, enriching, analyzing, and presenting actionable clinical and claims data, as well as non-traditional data.

The scalable and open platform supports population health management initiatives, value-based care models, and provides healthcare professionals with real-time cognitive support at the point of care.

Amadeus is a highly scalable and open platform built on modern technology that aggregates all types of health data, from both traditional (e.g., claims, clinical) and non-traditional (e.g., behavioral, medical devices, social, etc.) sources.

Amadeus supports the journey from fragmented care to population health management and precision medicine. Amadeus' API management layer allows third-party developers to build new capabilities and specialty applications on the platform, creating an innovative healthcare ecosystem.

Benefits of Amadeus

Key Features

Capture and store massive volumes of data

Built using the latest storage technologies and a distributed processing architecture, Amadeus is unparalleled in its ability to extract maximum value from today's data and prepare organizations for exponential data growth.

Store and manage big health data.png
Integrate genomics.png

Access all types of patient data in one place

The Amadeus data pipeline distributes the processing of data to enable true scaling and consumption of data from all possible sources. It handles all of the processing required to prepare data for each target data space, including validation, sequencing, mapping, enrichment, and semantic normalization. Data spaces aggregate clinical, payer, consumer, and other healthcare data types (such as social, family history, device, and other “omics”) into well-defined data models that expand the longitudinal health record.

Configure a data space specifically for your business

Custom data spaces enable bespoke data models to be designed and deployed through configuration. This allows the rapid prototyping of new domains and the capture of customer-specific data sets without the time and cost associated with traditional product development.

Real time insights.png
Discovery and innovation.png

Extract future value from data collected today

The raw data store is an annotated archive that enables future value to be extracted from data collected today. By retaining all source data in its original form, organizations can focus on their immediate needs, safe in the knowledge that all data is being retained for future analysis and enhanced modeling. The raw data store can also act as a data lake for maximum flexibility in storing structured, semi-structured and unstructured data for a range of uses.

The Components of Amadeus

  • The Integration Engine
  • Raw Data Store
  • Data Processing Pipeline
  • Clinical Data Spaces
  • Payer Data Spaces
  • Consumer Data Spaces
  • Custom Data Spaces

The Amadeus platform incorporates a powerful data integration engine with high-volume data-acquisition capabilities. This engine is designed to offer rapid and reliable integration and provide a comprehensive set of tools to simplify complex healthcare interoperability.

The raw data store is a massively scalable message and document archive for storing and indexing all data received from source systems in its raw form.

The data processing pipeline is a distributed processing engine that provides the bridge between the raw data store and the data spaces. Processing routes retrieve data from the raw data store and process it through a series of configurable validation, mapping, enrichment, and normalization tasks before updating the target data space.

Clinical data spaces are a rich set of structured data models for processing clinical messages, such as HL7 and C-CDA, and capturing core clinical concepts, such as encounter, diagnosis, procedure, problem, medication, allergy, laboratory, radiology, and microbiology results. The data models are securely accessible through FHIR-compliant REST APIs.

Payer data spaces are a range of data models derived from a medical claim, pharmacy claim, and membership data. Each of the models is accessible through privacy-and security-enabled REST APIs.

Designed around the FHIR Observation resource, consumer data spaces enable the processing and storage of data from consumer devices and apps and unlock the significant potential of remote-patient-monitoring initiatives. The data models are securely accessible through FHIR-compliant REST APIs.

Custom data spaces provide customers with the ability to deploy custom data models solely through configuration, allowing for rapid prototyping of new domain models and the capturing of customer-specific data sets. In addition to providing the storage infrastructure for these custom models, custom data spaces automatically generate REST APIs that apply the required security, privacy, auditing, patient matching, and enrichment functionality, enabling both Orion Health and third-party applications to consume the captured data.

Knowledge Hub

Interested in learning more about Amadeus?