Real-Time Medical Data Interfacing: A Yoctobe Case Study

Healthcare organisations generate massive amounts of data from lab analysers every day. But raw data alone isn’t enough—turning it into actionable insights requires speed, accuracy, and interoperability. Yoctobe recently demonstrated a solution that does exactly that.

The Challenge

A laboratory needed a reliable way to process HL7 messages from analysers, transform them into structured data, and update their LIMS database in real time. Traditional integration methods were slow, error-prone, and required constant manual intervention.

The Yoctobe Solution

Using the Yoctobe Medical Interfacer, we built a real-time pipeline that handles HL7 messages end-to-end:

1. HL7 Message Transmission – The analyser sends HL7 messages over TCP/IP using the standard MLLP protocol.
2. Middleware Interception – Our server acts as a TCP listener, receiving messages in real time.
3. Data Transformation – The middleware parses the HL7 message, extracts patient and test data, and converts it into structured JSON.
4. Database Update – The JSON data is mapped into SQL UPDATE queries and executed directly on the LIMS database.
5. Results Ready for Review – Clinicians can immediately access updated test results in the LIMS, without delay or manual processing.