Services

HeartAI services generally refers to the primary application-level software that provides domain-relevant behaviour, including functionalities such as:

• Data integration.
• Data processing.
• Data linkage.
• Data aggregation.
• Data brokering.
• Reporting and analytics.

Services often implement reactive microservices architectures and follow concepts from The Reactive Manifesto. For HeartAI platform development, service design encourages high-performance and extendable architectures. Current HeartAI service design supports:

• Natively cloud deployable and distributable services.
• High-performance services, with support for real-time data streaming.
• Well-defined service scope, with service context defined with a corresponding domain entity.
• Mature support for backing service integration, such as PostgreSQL data server integration and Apache Kafka message bus integration.
• Hardened security constructs including identity integration and rigorous logging, monitoring, and auditing capabilities.
• Service development that allows iterative and well-managed development practices.

These capabilities are particularly important for the digital health ecosystem, where there are many data and application assets, and often service requirements are complex with a large variety of interface standards. To support health system care, HeartAI services have the capability to provide:

• Broad support for data interface standards, including international, legacy, and proprietary standards, such as the HL7 health data standard.
• High-performance data processing, with support for stream-native data interfacing and transmission. This allows interfacing with high-throughput data generation systems such as:
  • Patient observation machines.
  • Anaesthetic machines.
  • Ambulance GPS devices.
  • Wearable devices.
  • Bio-implantable devices.

Further information about HeartAI services may be found with the following documentation: