Receive HL7v2 clinical messages over MLLP, route by message type, parse segments, send acknowledgments, and build production-ready healthcare integrations in Python.
Parse ER7-encoded messages into Python objects with full segment and field access
Access HL7v2 segment fields by name using typed Python objects
Navigate nested HL7v2 fields and components using dot-path expressions
Validate HL7v2 messages against schema definitions
Convert HL7v2 messages to and from JSON
Process multiple HL7v2 messages in batch mode
Field-by-field reference for all MLLP channel configuration options
Deploy and manage MLLP channels using enmasse YAML definitions
HL7 v2 is the most widely deployed healthcare messaging standard, used by hospitals, labs, pharmacies, and clinical systems worldwide to exchange patient, order, and result data. Messages are transmitted over MLLP (Minimal Lower Layer Protocol), a TCP-based framing protocol designed for reliable clinical data exchange. With Zato, you can receive HL7v2 messages over MLLP, route them by message type (ADT, ORM, ORU and others), parse segments and fields with typed Python objects, send acknowledgments, and integrate clinical systems with the rest of your enterprise.
Create an MLLP channel that listens for incoming connections. Zato handles the MLLP framing, parses the HL7v2 message, and delivers it to your Python service.
Zato routes incoming HL7v2 messages to services based on message type. You can configure separate services for ADT, ORM, ORU, and other message types.
Use typed Python objects to access segment fields by name, or use path expressions for nested components.
Yes - Zato can send ACK and NAK responses automatically based on your MLLP channel configuration, or you can build custom acknowledgment logic in your service.
Yes - see HL7v2 JSON serialization for converting messages between ER7 and JSON formats.
Use HL7v2 message validation to check messages against schema definitions before processing.
Yes - define your MLLP channels in YAML and deploy them using enmasse for repeatable, version-controlled configuration.
Get started with Zato and connect your healthcare systems using HL7 v2 and MLLP.
