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There’s no getting around it: healthcare data is complicated.

Which generally means that data solutions created to govern this data are equally complex, to a degree.

Healthcare data doesn’t follow any particular path, which makes it difficult and often confusing to follow. It’s impossible to contain in a single place or format. It treads a delicate line between structured and unstructured. And, the sheer amount of systems necessary to collect, store, and retrieve data go far beyond the comprehension of any healthcare professional.

Yet, somehow, healthcare data must somehow create a consistent, complete experience so that patients and providers alike can tap into their data for the best possible results.

Which begs the question: What should healthcare data solutions look like in 2019? We’re sharing our top insights on what you should look for in a data solution to help, not hinder, the way you work:

Data Solutions Should Be Adaptable

Data solutions should be flexible in both the way you use them and the way you may use them in the future. Between new healthcare regulations, variable definitions in diagnosis, and shifts in reporting compliance, it’s important that your data solutions be able to meet these changing demands.

Also, your solutions should support the way you want to work, not the other way around. You should be able to structure your data in a way that makes it sensical and usable.

They Should Offer Insights, Not Information

Too often, healthcare data solutions focus on the amount and type of data it’s able to collect, but doesn’t put enough emphasis on turning data into usable, valuable insights. Providers and organizations are already overwhelmed with patient data and information, and they need a simple, streamlined way to tap into that data.

One of the biggest opportunities lies in integration. By ensuring that systems are compatible and able to communicate, organizations are better able to combine data from separate systems into a central hub for better information exchange.

They Should Provide Unity

Tacking on to the above need for better integration, data solutions should focus on creating an interoperable organization to maximize efficiency, data sharing, and seamless operation.

Currently, most healthcare data systems remain fragmented and unstructured. Data lives in multiple places and seems impossible to unite in a single solution. This is especially true when exploring the variables between claims and clinical data. Adding patient-tracking devices will only add to the complexity unless there becomes a better, more desirable way to unify data and departments.

Exploring Lifepoint Data Solutions

Though technology is rapidly advancing, healthcare organizations tend to be among the last to adopt technologies. Legacy systems and existing processes are usually added on to rather than swapped out for newer solutions, which makes it all the more complex to migrate to a better solution when necessary.

While healthcare data continues to grow in complexity, Lifepoint is dedicated to providing data solutions that simplify.

With user-friendly interfaces and a focus on interoperability and health exchanges, Lifepoint helps you make better use of your healthcare data, whether you’re collecting it, storing, or using it.

Request a free demo today to learn more about Lifepoint Informatics and discover how better healthcare technology is within your reach.