Breathe life into legacy HL7.
Connect directly to on-premise EHRs. Our Message Pipeline ingests millions of messy HL7 v2 messages, validates them, and transforms them into clean, predictable JSON in real-time.
1// 1. Ingest raw HL7 v2 from legacy EHR via MLLP or API2const rawHL7 = `MSH|^~\&|EPIC|HOSP|MDC|LAB|20231027||ADT^A01|MSG123|P|2.43PID|1||pat123||Smith^John||19800101|M4PV1|1|I|ICU^101^1||||doc456^Jones^Bob`;56// 2. The pipeline automatically parses, validates, and normalizes7const response = await fetch('https://api.medibridgex.com/v1/pipeline/ingest', {8 method: 'POST',9 headers: {10 'Authorization': 'Bearer YOUR_JWT_TOKEN',11 'Content-Type': 'text/plain'12 },13 body: rawHL714});1516// 3. Output is clean, structured JSON ready for your app17const result = await response.json();18console.log(result.data.patient.name); // "John Smith"19From Pipe-Delimited Chaos to Structured Data.
Stop writing custom regex parsers. MediBridgeX handles the complexities of MLLP connections, base64 decoding, segment validation, and character encoding natively at the Edge.
- Native support for ADT, ORU, SIU, and MDM messages.
- Automated ACK/NACK generation for legacy systems.
- Dead-letter queues for malformed message handling.
Enterprise Message Routing
Built on a high-throughput, fault-tolerant event streaming architecture.
Real-time MLLP
Securely receive messages over TCP/IP using the Minimal Lower Layer Protocol natively at the edge.
Automated ACK
Automatically generate and send HL7 Acknowledgement (ACK/NACK) messages back to the sending facility.
Dead Letter Queue
Malformed or invalid messages are safely stored in a DLQ for manual review and reprocessing.
Data Normalization
Standardize dates, phone numbers, and demographics across different EHR vendors.
Ready to transform your interoperability?
Join leading healthcare organizations using MediBridgeX to process, map, and secure millions of HL7 and FHIR messages every day.