In the first part we got a quick introduction on the IMAP protocol commands, now it's time to use IRIS and implement them and create our own IMAP client!
What about having your IRIS REST APIs scanned every push you did and being reported on possible vulnerabilities? This is what I am going to show you in this article.
If one of your packages on OEX receives a review you get notified by OEX only own YOUR package. The rating reflects the experience of the reviewer with the status found at the time of review. It is kind of a snapshot and might have changed meanwhile. So if you did a major change and expect a changed review just let me know. Reviews by other members of the community are marked by * in the last column
This might be useful to others, especially the dockerfile which I have copied below. This builds a debian docker container and installs the Intersystems Cache driver, which python can then use :)
Maternal Risk can be measured from some parameters well known to the medical community. In this way, in order to help the medical community and computerized systems, especially AI, the scientist Yasir Hussein Shakir published a very useful dataset for training ML algorithms in the detection/prediction of Maternal Risk.
In the previous article, we've seen the structure of one of the most used types of HL7 message - ADT (Admit, Discharge, Transfer) and an example of ADT^A04 with the description of all its fields. Now let's look at another flow of data having to do with ordering and fulfilling the orders of tests. I'm talking about ORM (as of version 2.5 you should use specific messages to order tests, like OMG, OML, OMD, OMS, OMN, OMI, and OMP), ORL and ORU messages. In a very simplified case, the exchange of data may look like this.
In today's fast-paced and highly competitive manufacturing industry,
efficient machine communication and data exchange is essential to maximize
productivity and minimize downtime. That's where MTConnect comes in.
MTConnect is an open, royalty-free standard that provides a common language
for communication between machines, devices, and software applications in a
manufacturing environment.
A very common problem of our users is to use an external database as data source in an IRIS production. As many of you already know, we have two ways to connect directly to an external database, the first one is using an ODBC connection, the second is using JDBC.
In our example we are going to create a connection using JDBC, and we are going to build a simple Docker's project, in this way you will be able to modify the example as you wish.
This article is intended to be a simple tutorial on how to create ODBC connections and working with them, since I found starting with them a little bit confused, but I had amazing people to take my hand and walk me through it, and I think everyone deserves that kind of help too. I'm going to divide each little part in sections, so feel free to jump to the one you feel the need to, although I recommend reading everything.
How many times do we find ourselves rebuilding, copy-pasting, adapting, Business Operations that make calls to REST services, and only adapting one or another part of the final code. This is annoying a lot. To resolve this our inconvenience, I present to you Interopway REST, a set of classes (a micro framework) that allows us to just add Business Operation to Production and use it.
For volatile tables (tables with many INSERTs and DELETEs), storage for bitmap indexes can become inefficient over time.
For example, suppose that there are thousands of data with the following definition, and the operation of bulk deletion with TRUNCATE TABLE after being retained for a certain period of time is repeatedly performed.
In a fast-paced clinical environment, where quick decision-making is crucial, the lack of streamlined document storage and access systems poses several obstacles. While storage solutions for documents exist (e.g, FHIR), accessing and effectively searching for specific patient data within those documents meaningfully can be a significant challenge.
In this article, I am demonstrating how to create a table column(formerly known as properties) with your custom datatype classes by using User defined DDL. Properties are the crucial member of the persistent class definition. Datatypes are essential to define types of values that are stored in a table column. In general, the datatype names of SQL different from Intersystems datatypes, such as VARCHAR = %String.
In the ever-evolving landscape of digital security, robust password management tools have become indispensable. Our password management application, designed to simplify and secure your online life, now comes with an enhanced feature – the ability to edit passwords with ease.
In this article we are going to see how we can use the WhatsApp instant messaging service from InterSystems IRIS to send messages to different recipients. To do this we must create and configure an account in Meta and configure a Business Operation to send the messages we want.
Let's look at each of these steps in more detail.
Setting up an account on Meta
This is possibly the most complicated point of the entire configuration, since we will have to configure a series of accounts until we can have the messaging functionality.
If a relationship is set and there is a large number of n in a 1:n ratio, a large amount of memory may be consumed due to sequential processing of the relationship.
After referencing a many-sided object in a program and internally swizzling it, simply releasing the variable containing the OREF (deleting it, setting another value, etc.) will not free the many-sided object and the relationship object. This is the cause.
The ideal number of table permissions to assign for your users is zero. Permissions should be granted upon sign-in based on the application used for access. For web applications, we have a simple way of doing this by appointing application roles, matching roles, and required resources in the System Management Portal.
ODBC and JDBC connections present a different problem, however, especially when third-party applications are involved. As providers of an ERP system, our customers often wish to be able to employ various software packages to integrate with or report on their data. Many of these programs are capable of running any kind of query. Yet, letting them do that can be devastating to a customer’s data.
When I first encountered FHIR, I encountered a problem with its message format. It was difficult for me to determine whether the message I created met the format, and it was also difficult to easily create an FHIR message from scratch.
So, through fhir server of IntereSystems’fhirserver API, I created this application for quickly generating/validating FHIR messages.
I came up with a challenge for myself to come up with a way to make a variable watch itself for a certain value and do something when it hits that value without having to check it every time something touches it. Basically, a way to say "if at any point during the execution of this code, if x = 0 (or whatever the condition is) do this thing." The class I ended up with watches a %Status:
The Business Processing Language - for orchestration and long-running business processes.
Ensemble can orchestrate calls to external systems. Very often this is done to implement or automate a long-running business process - that is, real business processes where people interact with a series of different systems to complete complex tasks. BPL (the Business Processing Language) provides a graphical way to create these orchestrations.
An accountable care organization (ACO) is a group of providers that are collectively responsible for the total cost and quality of care provided to a specific population of patients. Together, the group assumes risk and shares rewards. As with high-performing organizations in other industries, the hallmarks of ACOs are quality measurement and continuous improvement.
Integrated Delivery networks (IDNs) face complex challenges in getting the right data into the right hands, at the right time, with the goal of more informed decision-making and improved clinical and financial performance.