Streams Healthcare Analytics Platform - v0.1

This release represents the first pre-release of the Streams Healthcare Analytics Platform. In this release, we have focused on helping our clients solve the data-ingest problem. The main theme is to make data-ingest easy! We have added a number of important ingest services to help clients get data into Streams. In addition, we have services to validate the platform design and to also help clients construct a meaningful application. Furthermore, decisions around schemas and normalization of terms lays initial groundwork for future improvements.

Getting Started

To get started with using this release, follow these steps:

1. Download the source code from the links at the bottom of this release.
2. Extract the source into a directory
3. From the root directory, run ./gradlew build

Services

Here’s a list of microservices available in this first release:

Ingest

Service	Description
streamsx.health.ingest	Foundational Toolkit providing basic infrastructure for other ingest services
streamsx.health.ingest.kafka	Publish and subscribe data to a Kafka server (e.g. IBM MessageHub)
streamsx.health.ingest.hapi	Service for ingesting HL7 OBX data into Streams
streamsx.health.ingest.physionet	Service for ingesting public clinical data from Physionet database
streamsx.health.ingest.vines	Service for ingesting data from Vines

Prepare

Service	Description
streamsx.health.prepare.uomconverter	Service for converting data from one unit of measure to another

Analyze

Service	Description
streamsx.health.analytics.ecg	Service for analyzing ECG signal – QRS detection
streamsx.health.analyze.rules.vitals.spl	Service for calculating Early Warning Score from patient’s vitals
streamsx.health.analyze.watsonexplorer	Service for extracting medication and symptom information from clinical notes

Simulate

Service	Description
streamsx.health.simulate.beacon	Service for generating ECG and vitals data for development and demo

Debug

Service	Description
streamsx.health.debug.print	Service for debugging. This service prints the JSON data from any topic

Samples

Service	Description
PatientsMonitoringDemo	Sample demonstrating how to use the Streams Healthcare Analytics Platform
PatientsMonitoringDemo.rules	ODM Rules used by PatientsMonitoringDmo
HealthcareJupyterDemo	Sample demonstrating how to write a healthcare application in Python using Jupyter Notebook

Pre-built Services

• com.ibm.streamsx.health.physionet.PhysionetIngestServiceMulti.sab - This file contains the physionet microservice for the HealthcareJupyterDemo. This service is provided for convenience when running this demo for Streaming Analytics on Bluemix. The data output of this service does not conform with the platform's standard data types, and therefore, should only be used in the sample.
• com.ibm.streamsx.health.simulate.beacon.services.HealthDataBeaconService.sab - This file contains the Health Data beacon service. The data output of this service conforms with the platform's standard Observation data type.