Amadeus Analytics helps healthcare organisations improve patient outcomes, address reporting requirements, and improve the overall cost of care.

Streaming data in real time and leveraging a modern, distributed architecture that processes and stores data in purpose-built patient registries, Amadeus Analytics ensures that at-risk patients can be identified and managed before adverse events occur. Tight integration with Coordinate, the Orion Health care-management application, allows clinicians to identify and stratify at-risk patients and make informed decisions at the point of care. Amadeus Analytics transforms population-health insights into impactful care-management initiatives.

Built on modern, scalable technology, Amadeus aggregates, stores, and makes sense of all forms of data to enable Precision Medicine - transforming healthcare from being about many, to focusing on one. 

Orion Health is paving your journey from Population Health Management to Precision Medicine. Where population health management is the “who,” defining which cohort of patients is high risk and needs particular attention, Precision Medicine is the “what,” enabling the determination of exact prevention and treatment plans that will work for an individual.

Benefits of Amadeus Analytics

  • High-performance, distributed platform

    High-performance, distributed platform

    Managing high volumes of data in real time requires technology built for scale. The Streaming & Computation Engine and Patient Registries are respectively built on Spark and ElasticSearch, two of the leading frameworks from the open-source, distributed-computing revolution. These technologies enable Amadeus Analytics to provide scalable, high-performance processing and query capability over massive data sets.

     

  • Real-time data streaming

    Real-time data streaming

    By streaming data in real time from the Amadeus Data Engine, Amadeus Analytics can focus on converting already aggregated and normalised data into registries purposely built to help identify pain points in a population and drive proactive care initiatives. This approach rapidly delivers information to the appropriate users and avoids the lengthy and costly staging, extracting, transforming, and loading processes that plague today’s healthcare-analytics deployments.

  • Integrated visualisation

    Integrated visualisation

    The intuitive Population Health Explorer app lets analysts and other data consumers interactively explore data sets, discover meaningful insights, and identify gaps in care. The Query Builder provides analysts with a powerful interface for defining patient cohorts and quality measures that provide the basis of clinical quality and care-coordination programs. All patient lists and dashboards allow users to drill down to the comprehensive longitudinal patient record, allowing for a deep assessment of patients of interest.

  • Privacy and context aware

    Privacy and context aware

    Population Health Explorer dashboards are both privacy and context aware, ensuring that dashboards and patient information reflect the current end-user’s authorisation level and respect configured patient-privacy rules. This is critical for ensuring that the solution can be leveraged not only by centralised administrative personnel, but by clinical and care-coordination staff at the point of care.

  • Actionable insights

    Actionable insights

    Dashboards and cohort lists built using Population Health Explorer are tightly integrated into the Orion Health care-management application, Coordinate. This allows clinicians and care managers to take immediate action—such as follow-up calls—and facilitate, from within the application, enrolments in care pathways. In addition, intuitive filters allow clinical and care-management staff to explore populations and define their own cohorts of interest, without depending on technical staff to implement evolving requirements.

  • Pluggable architecture

    Pluggable architecture

    For organisations with established analytics solutions, Bulk Download allows the data in the Patient Registry to be exported to existing analytics tools, ensuring immediate productivity for analysts inside their applications of choice. Leveraging Spark’s rich integration libraries and the Streaming & Computation Engine enables customers to integrate their choice of risk stratification/grouper technology as well as develop and deploy their own proprietary algorithms.

Key Features

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Streaming and Computation Engine

This is the core engine responsible for streaming data from primary data sources in Orion Health Amadeus. It is architected on the Spark computation engine and includes the Patient Registries, platformed on the ElasticSearch document database. The Patient Registries are the core secondary data storage model, replicating data from primary data sources in Amadeus in a format appropriate for ad hoc queries and analysis. 

Population Health Explorer

The Population Health Explorer is an application that is used to configure visualizations for: navigating data sets, defining patient cohorts and quality measures, and moving seamlessly from a population view to an individual patient record. Included in the PHE is the Query Builder, which provides analysts with a powerful interface to define patient cohorts that are used in building quality measures, and configuring these measures to dashboards that are the basis of clinical quality and care-coordination programs. All dashboards are interactive and allow users to drill down to patient lists that make up each measure, and to the comprehensive individual longitudinal patient record. 

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Knowledge Hub

More Insights

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