Giter Site home page Giter Site logo

mockaroo2hl7v2's Introduction

Go Report Card

mockaroo2hl7v2

This is a simple tool to generate HL7v2 messages from a specific Mockaroo JSON output format. I needed a way to generate fake HL7v2 messages to test things like Mirth channels + wanted to play around with Go.

The output HL7v2 is generating using Go Text Templates. You can specify a template file when running, if one is not specified there is one in the main.go file.

Getting It

Grab a file for your platform from the latest release: https://github.com/austinmoody/mockaroo2hl7v2/releases

Install via go install:

go install github.com/austinmoody/mockaroo2hl7v2@latest

The Input

This utility expects a very specific JSON input, one which I use Mockaroo to setup. There is a backup of the Mockaroo schema in this repo named HL7JSON.mockaroo.json.

A simple example:

{
  "Patient": {
    "Ids": [
      {
        "IdNumber": "PG23FK030030",
        "CheckDigit": "2",
        "CheckDigitScheme": "BCV",
        "IdType": "MR"
      },
      {
        "IdNumber": "TO64MN065772",
        "CheckDigit": "2",
        "CheckDigitScheme": "BCV",
        "IdType": "AN"
      }
    ],
    "Name": {
      "Family": "PatricksonZZFAKE",
      "Given": "ZZFAKELillis",
      "Second": "I",
      "Suffix": null,
      "Prefix": null
    },
    "MotherMaidenName": "Tallboy",
    "DOB": "1998-01-18T16:48:01Z",
    "Gender": "F",
    "Race": {
      "Id": "2076-8",
      "Text": "Native Hawaiian or Other Pacific Islander",
      "CodingSystem": "HL70005"
    },
    "Address": [
      {
        "Line1": "76255 Harbort Park",
        "Line2": "Number 18",
        "City": "Memphis",
        "State": "TN",
        "Zip": "38136",
        "Country": "US",
        "Type": "M"
      }
    ],
    "Comm": [
      {
        "UseCode": "PRN",
        "Type": "CP",
        "PhoneNumber": "5791303873",
        "Email": "",
        "CountryCode": "+234",
        "AreaCode": "579",
        "LocalNumber": "1303873",
        "UnformattedTelephoneNumber": "2345791303873"
      },
      {
        "UseCode": "WPN",
        "Type": "CP",
        "PhoneNumber": "5689724029",
        "Email": "",
        "CountryCode": "+62",
        "AreaCode": "568",
        "LocalNumber": "9724029",
        "UnformattedTelephoneNumber": "625689724029"
      }
    ],
    "Language": {
      "Id": "pl",
      "Text": "Polish",
      "CodingSystem": "urn:ietf:bcp:47"
    },
    "MaritalStatus": {
      "Id": "O",
      "Text": "Other",
      "CodingSystem": "HL70002"
    },
    "Religion": {
      "Id": "HOT",
      "Text": "Hindu: Other",
      "CodingSystem": "HL70006"
    },
    "SSN": "661-41-7685",
    "DriversLicense": {
      "Number": "1913688611",
      "State": "TN",
      "ExpirationDate": "2023-03-28T16:48:01Z"
    },
    "EthnicGroup": {
      "Id": "N",
      "Text": "Not Hispanic or Latino",
      "CodingSystem": "HL70189"
    },
    "MultipleBirthIndicator": "Y",
    "BirthOrder": 5,
    "DeathIndicator": "Y",
    "DeathDateTime": "2022-03-27T16:48:01Z"
  },
  "Providers": [
    {
      "Id": {
        "IdNumber": "714CW28081",
        "CheckDigit": "W",
        "CheckDigitScheme": "NPI",
        "IdType": "NPI"
      },
      "Degree": "HS",
      "Name": {
        "Family": "O' Bee",
        "Given": "Jacklin",
        "Second": "B",
        "Suffix": null,
        "Prefix": null
      },
      "NameTypeCode": "B",
      "Role": {
        "Id": "PP",
        "Text": "Primary Care Provider",
        "CodingSystem": "HL70443"
      }
    }
  ],
  "PatientClass": {
    "Id": "C",
    "Text": "Commercial Account",
    "CodingSystem": "HL70004"
  },
  "Event": "A07"
}

The input can be a single JSON object (as in the example above), or an array of such objects. A single object input is going to produce a single HL7 message, while an array is going to produce as many HL7 messages as in the array.

See later in this document for a few pointers on importing the Mockaroo schema to your own Mockaroo account.

The Output

Expected output if you run the example JSON above through mockaroo2hl7v2 would be:

MSH|^~\&|Mirth|Hospital|HIE|HIE|20220329212610||ADT^A07|afd629ec-0288-470e-8b1e-69d4458a00c9|P|2.5.1
EVN|A07|20220329212610
PID|1||PG23FK030030^2^BCV^^MR~TO64MN065772^2^BCV^^AN||PatricksonZZFAKE^ZZFAKELillis^I^^|Tallboy|19980118|F||2076-8^Native Hawaiian or Other Pacific Islander^HL70005|76255 Harbort Park^Number 18^Memphis^TN^38136^US^M||5791303873^PRN^CP^^+234^579^1303873^^^^^2345791303873|5689724029^WPN^CP^^+62^568^9724029^^^^^625689724029|pl|O^Other^HL70002|HOT|TO64MN065772^2^BCV^^AN|661-41-7685|1913688611^TN^20230328||N||Y|5||||20220327|Y
PV1|1|C

This is using the default template found inside main.go.

Executing mockaroo2hl7v2

There are four possible command line arguments:

  -input string
    	Input File.  STDIN used if not specified
  -mllp
    	Wrap each message in MLLP envelope?  Default is false.
  -print0
    	End each message with ASCII NUL?  Default is false.
  -template string
    	Output Template File.  Default can be found in main.go

MLLP

Specifying -mllp when running will wrap the generated message or messages with the standard MLLP envelop. That is:

<SB>The Generated HL7 Message...<EB><CR>

  • <SB> = Start Block. This will be set to ASCII Vertical Tab, hex 0x0B
  • <EB> = End Block. This will be set to ASCII File Separator, hex 0x1C
  • <CR> = Carriage Return, hex 0x0D

This might be useful if you are piping generated messages directly to something that will send over TCP/IP but is not doing its own wrapping.

PRINT0

This is something I added, just knowing that I might pipe generated messages through xargs and to make it easy on myself have generated messages separated by the NUL character.

This allows you to use the -0 flag with xargs to split things up.

Examples

Let's say you have the simple JSON example at the top of this page saved in a file named demo.json. You can convert that to an HL7 message and send to a host and port with this command:

cat demo.json | go run main.go encounter.go -mllp | netcat -c -vv 10.0.0.50 6661

Note we use the -mllp flag to wrap the message with the necessary characters for the downstream MLLP listener. In this example we are piping the generated message to netcat to facilitate transfer... which isn't going to provide MLLP wrapping on its own.

The output will simple show a number of bytes:

Total received bytes: 0
Total sent bytes: 560

Building on the above, lets say we have an array of JSON objects saved in a file named multiple.json. We can pipe the generated messages out and have each sent via netcat:

cat HL7JSON.json | go run main.go encounter.go -mllp -print0 | xargs -0 sh -c 'for i; do echo "$i" | netcat -c -vv 10.0.0.50 6661;done' _

Here we use the -mllp flag to wrap the message, but also the -print0 flag to separate each of the generated messages with NUL.

Then we pipe this to xargs, with the -0 flag to specify that the incoming data should be split by the NUL character. Then each message is piped to netcat and sent to the endpoint.

The output in this case will look something like:

[10.0.0.50] 6661 open
Total received bytes: 0
Total sent bytes: 726
[10.0.0.50] 6661 open
Total received bytes: 0
Total sent bytes: 852
[10.0.0.50] 6661 open
Total received bytes: 0
Total sent bytes: 774

Our input file had 3 JSON objects, which generated 3 HL7 messages. So we see 3 different sets of sent bytes.

Now obviously there are other tools to send data over TCP/IP or even MLLP via TCP/IP. I was just using netcat as an example.


Again assuming we have a file with an array of JSON objects, we could use the following command to generate HL7 messages for each JSON object and write them all to a file with:

cat HL7JSON.json | go run main.go encounter.go > examples.hl7

Looking at the contents of the examples.hl7 file you'll see several HL7 messages. One for each of the objects in the input JSON file.

Now, lets say that we want each generated HL7 message saved to a separate file:

cat HL7JSON.json | go run main.go encounter.go -print0 | xargs -0 sh -c 'for i; do echo "$i" > example"$RANDOM".hl7;done' _

The input file having 3 JSON objects, we will see 3 separate files on disk:

-rw-r--r--  1 amoody  staff  723 Mar 30 22:09 example21080.hl7
-rw-r--r--  1 amoody  staff  849 Mar 30 22:09 example30613.hl7
-rw-r--r--  1 amoody  staff  771 Mar 30 22:09 example4984.hl7

Each file will have one HL7 message in it.

Templates

To generate HL7 messages the Encounter object (found in encounter.go) is passed to a Go Text Template.

If an external template is not specified (via the -template argument) a default is used. The default can be found in main.go in the DefaultTemplate function.

Getting familiar with the Encounter object while looking at the default template is the best way to understand how to create your own.

Will add some examples here at some point.

Mockaroo Setup

mockaroo2hl7v2 expects the input to be JSON of a specific layout. A generated JSON schema is in this repo named hl7_schema.json.

You could generate the JSON in any way you want. I use Mockaroo for this, hence the mockaroo2hl7v2 name.

I won't go into specifics about using Mockaroo, but it is a great tool if you need to generate fake data. If you want to use Mockaroo, sign up for an account and import the file: HL7JSON.mockaroo.json located in this repo. From the Mockaroo Schemas page hit the Restore From Backup button to make that happen.

mockaroo2hl7v2's People

Contributors

austinmoody avatar

Stargazers

 avatar

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.