Your Analytics Software Is Creating Another Silo

Posted by Mohamed Alkady on Feb 5, 2019 10:00:00 AM
Mohamed Alkady
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In healthcare the current hottest trend we see is analytics software that seems to have the promise to do it all. Often times Integration Engines, HIEs and Population Health Management is also thrown into the mix to confuse things even more. Regardless of which you are looking at, we are going to call these "Analytics" software.

Don't get us wrong we are not against any analytics software, however we are against the case for yet another silo to be created, but this can be managed!

The Value of Analytics

Analytics comes in many flavors, and this post is in no means meant as a comprehensive cover of such. You have everything from Machine Learning, AI to specific needs such as SEPSIS or HEIDS measures.

The value for analytics is broad and will largely depend on your needs as well as outcomes you are looking to resolve, which is exactly what it is intended for.

The Shortcoming

However that being said there are a few challenges with analytics as they stand today and ideally you want to avoid making these mistakes as they cost time and money down the road. The major shortcomings are:

  • Since there are so many options and each one takes a major integration effort to address, its hard to pick the right analytics software
  • All of them create another silo for your data, but they have to in order to provide value to your organization

Mind The Silo

In order for analytics to function most data needs to be transformed into whatever the solution requires in order to produce the results you need. This creates a silo for your data because the data goes in as one format and only to be stuck in another, the output is merely the process of that system.

This may sound okay, where it is not okay is that then we try to use that data for other things. Such as connecting an HL7 interface, or passing along data; which many of these systems will tell you they can do.

On the surface this all works well, however as you dig down to creating near-real-time data exchanges or try to do high volume transactions you will begin to run into a lot of issues, and in the process you have created yet another dead end silo for your data.

How A Platform Helps

This is where a platform that helps direct your data in near-real-time really can show its true benefit. First and foremost it solves for the issue of which to choose. You can easily pilot 2 or 3 software systems at the same time without adding resource needs as the platform can easily manage and direct data to each system using proper security controls.

While you are still creating another data silo, you are not dependent on that one. Meaning the software can do what it does best then you can take that output and put it back into the platform to provide a full view of your data.

Topics: Data, Platform, Strategy