npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

@ehr/hl7-v2

v1.0.1

Published

A parser for hl7 version 2 messages. Creates json from v2 messages, and creates v2 messages from json.

Downloads

708

Readme

node-hl7-v2

This is Redox's battle-tested in-house HL7v2 parser/generator.

HL7 Version 2 (HL7v2)

HL7’s Version 2.x (V2) Messaging Standard is the most ubiquitous healthcare data exchange standard. This module converts HL7v2 messages to and from a JSON representation.

Usage

The parser/generator can be used to convert a wide range of HL7v2 messages from the delimited HL7v2 format to a schema-fied JSON version. When messages don't match the schema, the module supports a custom schema. See Custom Schemas below for more information.

Parser

const rawData = `MSH|^~\&|||...`;
const hl7v2 = require('node-hl7-v2');
const parser = new hl7v2.Parser();
const jsonData = parser.parse(rawData);

Generator

const ackJSON = {
  "MSH": {
    "0": "MSH",
    "1": "|",
    "2": "^~\\&",
    "3": {
      "1": "CHERDABEE"
    },
    "5": {
      "1": "REDOX"
    },
    "6": {
      "1": "RDX"
    },
    "7": {
      "1": "20150915004731"
    },
    "9": {
      "1": "ACK",
      "2": "S12"
    },
    "10": "20150915004731",
    "11": {
      "1": "T"
    },
    "12": {
      "1": "2.3"
    }
  },
  "MSA": {
    "0": "MSA",
    "1": "AA",
    "2": "1"
  }
};

const hl7v2 = require('node-hl7-v2');
const generator = new HL7v2.Generator();
const data = generator.write(ackJSON);
//`MSH|^~\\&|CHERDABEE||REDOX|RDX|20150915004731||ACK^S12|20150915004731|T|2.3|||||||||\rMSA|AA|1||||\r`

Understanding the HL7v2 schema

Our approach to parsing/generating HL7 is schema-driven. The Schema is based on the HL7v2 specification. The best way to understand it is through the schema folder:

schema/
  index.js - entry point to access the schema
  dataTypes/ - contains definitions for each "Data Type" in HL7v2 (See chapter 2A)
  fields/ - contains a definition for each field. Each file is named <Segment>.<Field Number>
  messages/ - contains the actual structure for each message definition, this file also contains "Groups"
  segments/ - contains definitions of which fields are in a segment
  structure/ - contains a map from HL7 message/event type to structure definition. 

Basics

There are many events defined in HL7, but some share the same structure. For example ADT^A01 and ADT^A04 both have the same ADT^A01 structure.

Once the structure is identified the code looks at the corresponding schema in schema/messages. Each message definition is object where the properties are "Segment Groups". The Group with the same name as the message type is the root. So in ORU_R01.json, the ORU_R01 property has exactly 1 required MSH segment, unlimited SFT segments, and a PATIENT_RESULT group.

{
  ...
  "ORU_R01": {
    "elements": [
      {
        "minOccurs": "1",
        "maxOccurs": "1",
        "segment": "MSH"
      },
      {
        "minOccurs": "0",
        "maxOccurs": "unbounded",
        "segment": "SFT"
      },
      {
        "minOccurs": "1",
        "maxOccurs": "unbounded",
        "group": "PATIENT_RESULT"
      },
      {
        "minOccurs": "0",
        "maxOccurs": "1",
        "segment": "DSC"
      }
    ]
  }
}

Overriding the schema

Existing HL7v2 implementations don't often respect rules about segment groups and segment order, so custom schemas can be used at will. Pass a JSON object to the constructor of either the parser or the generator to use a custom Schema. It will get merged with the existing schema.

Examples of custom schemas can be found here:

HL7 Trademark and IP Statement

HL7® and HEALTH LEVEL SEVEN® are trademarks owned by Health Level Seven International. HL7® and HEALTH LEVEL SEVEN® are registered with the United States Patent and Trademark Office.