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Generating and Knowledge Framework: Design and Open Specification.

Usman Wajid1, Chris Orton1, Andriana Magdalinou2

  • 1Information Catalyst, United Kingdom.

Acta Informatica Medica : AIM : Journal of the Society for Medical Informatics of Bosnia & Herzegovina : Casopis Drustva Za Medicinsku Informatiku Bih
|March 27, 2020
PubMed
Summary
This summary is machine-generated.

The Information Aggregation component efficiently manages diverse data streams to build comprehensive health records. It utilizes a micro-service architecture for scalable data processing and integration within the CrowdHEALTH platform.

Keywords:
Data AggregationHealth Records

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Area of Science:

  • Health Informatics
  • Big Data Management
  • Software Architecture

Background:

  • The Information Aggregation (IA) component is crucial for managing diverse data sources to create Holistic Health Records (HHRs).
  • It ensures data is processed scalably, efficiently, and reliably for various applications.
  • IA combines disparate data into a common format for analytics and decision-making.

Purpose of the Study:

  • To provide an overview of the CrowdHEALTH project and its technical architecture.
  • To detail the Information Aggregation (IA) mechanism within the CrowdHEALTH platform.
  • To present the design and initial specifications of the IA component and its interrelations with other system parts.

Main Methods:

  • A micro-service approach is employed for information aggregation and HHR updates.
  • Micro-services, a variant of Service-Oriented Architecture (SOA), are used for loosely coupled services with defined interfaces.
  • Big data management techniques are applied for data aggregation and processing.

Main Results:

  • The IA component is positioned between the Interoperability Layer and the CrowdHEALTH Datastore.
  • It processes and aggregates interoperable data before storing it in the platform's big datastore.
  • The use of micro-services for synchronous aggregation of heterogeneous datasets advances the state-of-the-art.

Conclusions:

  • An initial version of the IA component has been developed and presented.
  • Further updates to the specifications and implementation details of the IA component are planned.
  • The IA component is integral to the CrowdHEALTH platform's data management capabilities.