Legacy Integration Engine

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.

ingest_hl7.js
1// 1. Ingest raw HL7 v2 from legacy EHR via MLLP or API
2const rawHL7 = `MSH|^~\&|EPIC|HOSP|MDC|LAB|20231027||ADT^A01|MSG123|P|2.4
3PID|1||pat123||Smith^John||19800101|M
4PV1|1|I|ICU^101^1||||doc456^Jones^Bob`;
5
6// 2. The pipeline automatically parses, validates, and normalizes
7const 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: rawHL7
14});
15
16// 3. Output is clean, structured JSON ready for your app
17const result = await response.json();
18console.log(result.data.patient.name); // "John Smith"
19

From 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.