InterSystems HealthShare is a healthcare informatics platform for hospitals, integrated delivery networks (IDNs) and regional and national health information exchanges (HIE). HealthShare includes health information exchange, data aggregation, workflow, text analysis, and analytics technology.
This is a 10-minute simple step-by-step guide on how to quickly set up various flavors of HealthShare docker containers from scratch on a Win10 laptop.
For example, we can build a couple of HealthShare "global edition vs UK Edition" demos as shown below.
There are a couple of frequently asked questions from HealthShare colleagues and partners:
I'm not saying that this is in anyway "best practices," but I'm in a peculiar situation where I need to restrict users from starting a "retired" Ensemble Production in a namespace that's been renamed. It's still an "Ensemble-activated" namespace; we need to keep it available for Ensemble Message Viewer access ... fortunately, only for a little while.
It's a bit of a hack ...
Open the Production class in Studio and add the following classmethod:
Hey everyone!
I had looked around a bit and couldn't find a native way to log queue counts in Ensemble/HealthShare so I wrote a quick task and persistent class to do it. Hope this saves someone a bit of time. Let me know your thoughts! Thanks!
Bobby Hanna
This is more for my memory that anything else but I thought I'd share it because it often comes up in comments, but is not in the InterSystems documentation.
There is a wonderful utility called ^REDEBUG that increases the level of logging going into mgr\cconsole.log.
You activate it by
a) start terminal/login
b) zn "%SYS"
c) do ^REDEBUG
Keywords: Jupyter Notebook, Tensorflow GPU, Keras, Deep Learning, MLP, and HealthShare
In previous"Part I" we have set up a deep learning demo environment. In this "Part II" we will test what we could do with it.
Many people at my age had started with the classic MLP (Multi-Layer Perceptron) model. It is intuitive hence conceptually easier to start with.
Keywords: Anaconda, Jupyter Notebook, Tensorflow GPU, Deep Learning, Python 3 and HealthShare
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.
ˮ This is one of my articles which was never published in English. Let's fix it!
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.
