Datashop Blog

Bring your data to life with the right analytical tools

BI TOOLSThe big data revolution has left the healthcare industry with massive amounts of information and data that they have never had the access to before. But big data alone doesn’t do the job. Without the proper tools, large volumes of unstructured data are simply noise.

One of the greatest struggle faced in the healthcare industry is that Big data doesn’t equal actionable insights! It’s great to have access to this data, but what do organizations do once they have all that data? How do you make sense of this data?

This is where the right analytics tool comes in the picture.  If you don’t have the right analytics tools, you can’t get the job done.

The right analytical tools can generate key insights to improve patient outcomes, cut expenses, and analyze treatment plans and drug effectiveness.

However, finding the right analytics tool can be tricky, but if done correctly, it will pay off in terms of ROI and quality of care.

So what’s important when it comes to selecting and installing a analytics tool for your hospital? Let’s evaluate by answering a few key questions:

– Does it have the capability to Bring any data together from any disparate source in a secure and a scalable way?

– Does it have the Data Visualization Component?

– Is it built for a flexible and interoperable unified data system with it being the single source-of-truth for any deep dive-in analysis and reporting?

– Does it comprise of the self-service data discovery capabilities, minimizing the need for you to constantly create new ad hoc reports whenever a new question arises.

– Is it intuitive and can carry out the functions such as Real time analysis, Predictive analytics, Enterprise analytics, ACO analytics and population health management?

In the healthcare industry, having access to the right information at the right moment is critical. With a lack of right analytics tools, healthcare organizations are unable to use all of the information at hand to make informed decisions. And it is more than just business efficiency that hangs in the balance. Patient care and outcomes are directly impacted by these decisions. Therefore, it has never been so important or so easy for healthcare to invest in healthcare analytics.

Somya Gulati

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