Amadeus

The platform for advanced population health

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

Robust privacy capability

Advanced, granular privacy capability provides controlled access to patient information based on user roles and the sensitivity of patient data. The privacy module provides a single, simple user interface that helps organizations easily create advanced privacy rules even in the most complex healthcare environments.
Supports innovation with APIs and BI interfaces

Amadeus provides secure access to all its data via APIs and ANSI SQL interfaces to Orion Health as well as third-party applications. Open APIs creates an application ecosystem that breaks down data silos and fosters innovation, enabling the best applications to be developed for every healthcare scenario. The SQL interfaces can power reporting, visualizations, statistical analysis as well as advanced machine learning models.
Adapts to new models of care

Drawing patient-centric data to Amadeus enables healthcare organizations to make informed decisions regarding the move from traditional payment to alternative payment models. Payers, ACOs, and other organizations involved in value-based models can support their participating providers with value-added services.
Future-proof and pluggable architecture

With exceptional experience in making data useful, ingestion and data exchange, Amadeus is a proven and versatile data platform. Designed for delivering effective population health management, the platform also future-proofs organizations for emerging models of care through to precision medicine.
Foundation platform for population health and precision medicine

Health determinants, in isolation, are interesting, in combination, they're powerful. Aggregating huge volumes of different data and surfacing it in a complete longitudinal patient record is what Amadeus excels at. Precision medicine is only possible when there is a complete picture of a patient's health, including medical decisions, treatments, practices, and products so healthcare can be customized for each individual. Through seamless integration with our care-management and patient-engagement applications, Amadeus allows you to proactively identify, manage, and transition at-risk patients in real-time. This provides the tools to close gaps in care, increase patient satisfaction, and lower costs while improving care quality.
Intelligent modeling

Amadeus enables predictive modeling that identifies and stratifies the at-risk patients in a population and provides the data to drive rapid decision-making. Additionally, Amadeus will enable the operationalization of machine learning, enabling predictions based on its large data sets.

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.

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.

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 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.