In this post, I’m creating the code templates that will do one stop solution for all problems that we face in mirth while doing the File based IO operation. Imagine a case where you need to move the file from one directory
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AWS-With-Mirth
Hi Everyone, Here is another Continuity of Care Document post. In this blog post I will provide you the code that can we used to parse the Allergy Section of a NIST validated CCD. This CCD will is a NIST standard validated
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var zipFile = “c:\\test.zip”; var sourceFiles= new Array(${arrayOfFileNames}); try { var buffer = java.lang.reflect.Array.newInstance(java.lang.Byte.TYPE, 5000); var fileOutput = new java.io.FileOutputStream(zipFile); var zos = new java.util.zip.ZipOutputStream(fileOutput); for (i = 0; i < sourceFiles.length; i++) { var srcFile = new java.io.File(sourceFiles[i]); var fis =
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Imagine that we are sending certain data to external sources and we are getting response from those source. Now the received response has to be parsed inside the response tab. APPROACH 1: Imagine we are receiving an HTML response like this as
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In the previous blog, we have demonstrated how to GET the FHIR data from the remote server. This blog post will be a continuation of the previous post, so the Mirth version that I will be using for this will be 3.4.2
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In this Post you learn how to communicate to the Remote FHIR server and get the data into Mirth Interface Engine. Mirth version : 3.4.2. (Note: In the latest version 3.5, there is a very sufficient capability to consume FHIR resources separately.
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In the Mirth tool, often people face many issues when it comes to connecting to DB either fetching data or updating/inserting data. This blog post will help you understand what are functions used for what purposes. Starting with the Database reader concept,
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Mirth is a wonderful tool which has provided options to use generalized functions in the form of code templates. This will improve the performance of the channels in the greater fashion. Code re-usability is a major success of Mirth which is the
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Lets take three hospitals, A,B and C which uses different data standards for defining Gender in their hospitals A uses 0,1 for male and female. B uses 1,0 for male and female, C uses M,F,U for male, female and unknown. The data
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