Article
· Sep 7, 2016 5m read
Running HealthShare XSLTs from Terminal

HealthShare uses a lot of XSLTs. These are used to convert IHE medical documents to SDA (internal HealthShare format) and back to IHE formats, to create summary reports, and to deal with IHE profiles (e.g., patient information query, document provide and register). Customers may customize the XSLTs to customize reports or for other reasons.

For debugging and development, it is very convenient to be able to run an XSLT from Terminal.

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Article
· Oct 24, 2022 10m read
PerfTools IO Test Suite

Purpose

This set of tools (RanRead, RanWrite, and the combined RanIO) is used to generate random read and write events within a database (or pair of databases) to test the IO speed of IRIS running on a specified hardware setup. While Read operations can be measured in the usual Input/Output operations per second (IOPS) since they're direct disk reads, write events are sent to the database and thus their physical writes are managed by IRIS's write daemon.

Results gathered from the IO tests will vary from configuration to configuration based on the IO sub-system. Before running these tests, ensure corresponding operating system and storage level monitoring are configured to capture IO performance metrics for later analysis. The suggested method is by running the System Performance tool that comes bundled within IRIS. Please note that this is an update to a previous release, which can be found here.

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The class %Compiler.UDL.TextServices arrived in 2015.1, bringing us methods for exporting a class in UDL format (i.e. looking just like we're used to seeing it in Studio), and importing a UDL format definition back into a namespace. Some source control tools including our Deltanji are now able to use UDL format, resulting in diffs that are easier to understand.

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InterSystems FAQ rubric

ObjectScript allows you to pass any number of arguments using arrays. Do it by adding ... after the argument name.

An example is as follows. In the example statement, the argument information is set in a global variable (a variable stored in the database) so that it can be easily checked after the method is executed.

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When using InterSystems IRIS as an interoperability engine, we all know and love how easy it is to use the Message Viewer to review message traces and see exactly what's going on in your production. When a system is handling millions of messages per day, you may not know exactly where to begin your investigation though.

Over my years supporting IRIS productions, I often find myself investigating things like...

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In the previous article, we've discussed the origin of the standard HL7v2, the structure and the types of messages. Let's now look at one of the most used types of messages and an example of its structure. I'm talking about ADT.

HL7 ADT messages (Admit, Discharge, Transfer) are used to communicate basic patient information, visit information and patient state at a healthcare facility. ADT messages are one of the most widely-used and high volume HL7 message types, as it provides information for many trigger events including patient admissions, registrations, cancellations, updates, discharges, patient data merges, etc.

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Introduction

Australia's recent launch of the Personally Controlled Electronic Health Record (PCEHR) - a significant step towards establishing a national e-Health infrastructure - has simultaneously provided a boost to shared Electronic Patient Record (EPR) projects and delivered a wake-up call to healthcare providers about their readiness for connected care initiatives. In countries around the world, the era of connected care is here.

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Presenter: Alex MacLeod
Task: Use Personal Community to build fully responsive and mobile-compatible portals
Approach: Demonstrate the new release of Personal Community. Provide a behind-the-scenes look at the new application development framework used to build it.

The new release of Personal Community v11 is now fully responsive and mobile compatible. It uses a new framework for development. In this session, we will give a functional overview of Personal Community, demo the new release and give a look behind the scenes into the application development framework used.

Content related to this session, including slides, video and additional learning content can be found here. Please note that this content is available only to HealthShare customers and attendees of the Global Summit. On the learning web site you will be prompted for your Global Summit credentials to access this content.

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There are often questions surrounding the ideal Apache HTTPD Web Server configuration for HealthShare. The contents of this article will outline the initial recommended web server configuration for any HealthShare product.

As a starting point, Apache HTTPD version 2.4.x (64-bit) is recommended. Earlier versions such as 2.2.x are available, however version 2.2 is not recommended for performance and scalability of HealthShare.

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Article
· Jun 16, 2023 10m read
Creating a REST service in IRIS

One of the most common needs of our clients is the creation of REST services that allow access to the information present in IRIS / HealthConnect. The advantage of these REST services is that it allows the development of custom user interfaces with the most current technologies taking advantage of the reliability and performance of IRIS in the back-end.

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Presenter: Randy Pallotta
Task: Automatically create cohorts of high-risk patients. Send them critical action alerts
Approach: Use the new HealthShare features: “Smart Programs” and “Advanced Clinical Notifications”

In this session, we will cover HealthShare "Smart Programs" and "Advanced Clinical Notifications" which allow you to automatically create cohorts of high risk patients in Health Insight and Information Exchange and to send critical actionable alerts. After this session, you should understand this new feature and how to configure a new program or alert.

Content related to this session, including slides, video and additional learning content can be found here. Please note that this content is available only to HealthShare customers and attendees of the Global Summit. On the learning web site you will be prompted for your Global Summit credentials to access this content.

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Keywords: Anaconda, Jupyter Notebook, Tensorflow GPU, Deep Learning, Python 3 and HealthShare

1. Purpose and Objectives

This "Part I" is a quick record on how to set up a "simple" but popular deep learning demo environment step-by-step with a Python 3 binding to a HealthShare 2017.2.1 instance . I used a Win10 laptop at hand, but the approach works the same on MacOS and Linux.

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Artificial intelligence has solved countless human challenges – and medical coding might be next.
As organizations prepare for ICD-11, medical coding is about to become more complicated. Healthcare organizations in the United States already manage 140,000+ codes in ICD-10. With ICD-11, that number will rise.
Some propose artificial intelligence as a solution. AI could aid computer-based medical coding systems, identifying errors, enhancing patient care, and optimizing revenue cycles, among other benefits.

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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.

Let's look at these messages in more detail.

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We return to the attack with our EMPI!

In previous articles we have seen how to configure and customize our EMPI, we have seen how we can include new patients in our system through HL7 messaging, but of course, not everything is HL7 v.2 in this life! How could we configure our EMPI instance to work with FHIR messaging?

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Strategic interoperability —The key to connected care

Introduction

The aging population and increasing incidence of chronic diseases are putting unmanageable pressures on healthcare services, not just in Europe, but worldwide. The current models of healthcare are unsustainable in the face of increased demand for services and rising costs. This was evident even before the financial crisis led to severe cuts in healthcare budgets in many countries.

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Presenter: Tom Spencer
Task: Add extra data to HealthShare’s data model and make it available to all HealthShare components
Approach: Use new extensions within HealthShare to add custom data

When deploying a HealthShare solution, you may need to add extra data to our SDA data model. In this session, we will present the new extension mechanism for adding data to HealthShare and to ensuring that data is available in Health Insight and Patient Index.

Content related to this session, including slides, video and additional learning content can be found here. Please note that this content is available only to HealthShare customers and attendees of the Global Summit. On the learning web site you will be prompted for your Global Summit credentials to access this content.

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Hey everyone!

I recently learnt something new while working with WRC on an issue, and I wanted to share with everyone on the off chance it could help someone else.

Scenario:

Files are being inexplicably written to a folder on your server and, due to the number of files in the folder and general system throughput, it is not possible to work through the files to track down the source.

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In the previous article, we talked about the flow of data to request the test and receive the results of the requested test. Now let's talk about one of the most important messages of HL7v2 standard.

Every time a receiving application accepts a message and consumes the message data, it is expected to send an ACKnowledgement (ACK) message back to the sending application. The sending application is expected to keep on sending a message until it has received an ACK message. It is done to inform the sending application that its message was successfully received, that it is (not) valid in accordance with HL7 rules and, if it is compliant, that it will be processed at some point.

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Hello again everyone.

In our previous article we saw how to configure our EMPI to receive FHIR messages. To do this we installed the FHIR Adapter that InterSystems made available to us that configured a REST endpoint to which we could send our FHIR message. We would then get the message and transform it to a %String that we would send via TCP to the output of our EMPI configured in our HSPIDATA namespace.

Alright, it's time to see how we retrieve the message, transform it back to a %DynamicObject and parse it to the class used by the EMPI to store the information.

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Strategic Interoperability

Executive Overview

This white paper discusses the critical requirements for the U.S. Departments of Defense (DoD) and Veterans Affairs (VA) to share Service members’ medical records – including real-time access to a complete composite health record – and it proposes an immediate solution via implementation of a health informatics platform. This approach will provide significant and clearly visible results in a matter of months, while positioning the Departments for strategic improvements in the years ahead.

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Presenters: Pete Greskoff, Sebastian Musielak
Task: Ensure high availability of your HealthShare deployments
Approach: Discuss high-availability options and focus on HealthShare’s new support for database mirroring

With the new release of HealthShare, Mirroring is now support for high availability. This session will describe high availability options and focus on mirroring your HealthShare deployments.

Content related to this session, including slides, video and additional learning content can be found here.

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According to Databricks Apache Parquet is an open source, column-oriented data file format designed for efficient data storage and retrieval. It provides efficient data compression and encoding schemes with enhanced performance to handle complex data in bulk. Apache Parquet is designed to be a common interchange format for both batch and interactive workloads. It is similar to other columnar-storage file formats available in Hadoop, namely RCFile and ORC. (source: https://www.databricks.com/glossary/what-is-parquet).

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Executive Summary

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.

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Presenter: Matt Spielman
Task: Use the FHIR standard with HealthShare-based solutions
Approach: Provide an overview of how HealthShare will support the evolving FHIR

The next major release of HealthShare will be the first version to support the emerging HL7 FHIR standard. This presentation will discuss InterSystems’ involvement with the FHIR standard, detail the new FHIR functionality, and review our long term plans for FHIR in the HealthShare platform.

Content related to this session, including slides, video and additional learning content can be found here. Please note that this content is available only to HealthShare customers and attendees of the Global Summit. On the learning web site you will be prompted for your Global Summit credentials to access this content.

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