What is an HL7 v2 message?

HL7 v2 is a pipe-delimited text format used by healthcare systems to exchange clinical and administrative data. Each message is made up of segments (MSH, PID, OBX, etc.), with fields separated by | and sub-parts by ^.

Does hl7online.com send my HL7 messages to a server?

No. Parsing and validation run entirely in your browser — the raw HL7 message never leaves your device. Only when you ask the optional AI assistant a question is the parsed (and optionally anonymized) data sent to our backend.

Which HL7 versions and message types are supported?

HL7 v2.3 through v2.8, including ORU, ADT, ORM, SIU, MDM, DFT, VXU, ACK, and others. Z-segments and unknown segments are displayed rather than rejected.

Is hl7online.com HIPAA compliant?

The tool is built with a privacy-focused architecture — raw messages are parsed client-side, PHI can be anonymized before AI queries, and no PHI is stored. However, hl7online.com is not currently offered under a Business Associate Agreement (BAA) and is not a HIPAA-certified service. Do not paste unredacted PHI when querying AI unless your organization approves.

HL7 Online — Free HL7 v2 Message Parser & AI Assistant

VimByte

AI-Powered Healthcare Integration

hl7online.com is built by Nick Davies, a healthcare IT specialist with hands-on experience building and maintaining HL7 interfaces for clinical laboratories and hospital information systems.

After years of watching integration analysts squint at raw pipe-delimited text and lab managers escalate tickets just to decode a message, I built the tool I wish I'd had. hl7online.com combines instant client-side parsing with AI-powered natural language queries — all running locally for privacy.

What I help organizations do

Add AI to HL7 workflows — intelligent message routing, automated error detection, natural language interfaces for clinical data
Build smarter interfaces — self-monitoring HL7 integrations that catch problems before they affect patient care
Deploy edge AI in healthcare — local AI processing on devices like NVIDIA Jetson for privacy-focused, zero-cloud architectures
Modernize integration infrastructure — bridging legacy HL7 v2.x systems with modern APIs and FHIR-ready architectures

Let's talk

Have an integration challenge? Building something with AI in healthcare? I'd love to hear about it.

nick.davies@vimbyte.com

Documentation

Everything you need to know about hl7online.com

Three steps to decode any HL7 message:

1

Paste

Paste your HL7 message into the editor

2

Parse

Instant parsing and validation right in your browser

3

Ask AI

Ask questions in plain English and get instant answers

Tip: Click Load Sample to try it out with a pre-loaded lab result message.

A privacy-first architecture with local parsing and edge AI.

Your Browser

HL7 Parser (JavaScript)
Message Validator
Syntax Highlighting
PHI Anonymization

All parsing stays local

AI queries only

Edge Server

Local AI Model
Authentication
No cloud dependencies

Privacy-focused architecture

HL7 v2.x messages are pipe-delimited text. Here is the anatomy of a message:

Message Header (MSH Segment)

MSH|^~\&|LabSystem|Hospital|EHR|Clinic|20260323120000||ORU^R01|MSG00001|P|2.5.1

Segment ID

Encoding Characters

Field Separator

Field Values

Key Concepts

Segments

Each line is a segment starting with a 3-letter ID: MSH, PID, OBR, OBX, etc.

Fields

Segments are divided into fields by the pipe | character. Each field has a defined meaning.

Components

Fields can contain sub-parts separated by ^ (caret). Example: ORU^R01 = type + trigger.

Common Messages

ORU = results, ORM = orders, ADT = admissions, ACK = acknowledgments.

The HL7 Assistant understands HL7 messages and can answer natural language questions. Try these:

Note: AI requires a connection to the edge server. The parsing and validation work entirely offline.

HL7 v2 Message Parser

Paste a message to see it decoded