Open Interop is designed to support unlimited customisation and data manipulation, allowing a complete and comprehensive data system structure.
Our open-source software is already being utilised by the industry, including WHONet and point of care devices to enhance their data management.
You can also chain Tempr's together, which allows you to perform an additional action based on the results of the previous Tempr. This is beneficial if you would like to create a record in your EMR and then use the ID of said record in another request, for example to update a surveillance system.
Open Interop allows you to transmit data in a number of ways:
- HTTP requests in JSON format, this includes HL7 FHIR (available at release)
- HTTP requests in XML format (Planned Q1 2020)
- Streamed TCP socket data (Planned Q1 2020)
- Streamed UDP socket data (Planned Q1 2020)
You can optionally choose to store the request and response of these transmissions – therefore, storing the data that is transmitted to the platform (though purely for debugging purposes). When used in a production environment, the interoperability layer does not persist data that is passed through it.
How does it work?
Open Interop is designed to support unlimited customisation and data manipulation, allowing a complete and comprehensive data system structure. Configured to receive data in JSON, HL7 FHIR, XML, and CSV formats, Open Interop provides unrivalled flexibility.
You can build your own services and deploy them to the architecture to introduce your own data sources, or intermediary middleware, in order to process, encrypt, and otherwise manipulate the messages received by the platform.
Open Interop has been deployed onto embedded hardware and can be used on a very small form factor to fit in your pocket for site visits if required.
We have current use cases wherein Open Interop receives data from a number of systems including WHONet, point of care devices, and simple spreadsheets via the use of data connectors. In addition to this, API based data generators are used to simulate device testing. We can manipulate this data and transmit it into DHIS2 as an event line listing for trackers, specifically into the WHO's TB tracker.