Big Data Analytics for the Healthcare Industry

Healthcare Analytics software to manage big data

The way in which healthcare providers use, share, and distribute information with clinicians and patients is changing fast. This is largely down to advancements in technology. For example, mobile apps, wearables, and interactive patient information systems are all collecting data to be reported on, with new insights being gained.

The Healthcare Industry is having to grapple with big data sets. Our Pi Dashboard is a reporting platform that can display data from many different sources, side by side. Its intuitive user interface allows users to easily build charts and graphs to visualise information easily, spot trends and drill down into the data to interrogate further.

It’s easy to report on critical KPIs, view exceptions and automate reports to burst out to relevant users. Dashboards can be shared easily and securely, with role-based access ensuring data is securely stored and access to meet the new GDPR regulations.

Predictive Analytics in Healthcare

Our BI and data visualisation platform can help you gain more insight from your data than ever before. However, Pi Analytics can provide predictive insights on top of that.

Our analytics software works by spotting trends and characteristics in historical data – information which the dashboard connects to. Users can apply these characteristics – directly through the user interface – over new data sets to gain these predictions. Naturally, the more data it’s fed, the more accurate the predictive insights will be.

So, how could this benefit the Healthcare Industry? Pi Analytics could be used over historic patient data, for example, to suggest which future patients are most likely not to turn up to their appointments. The software will flag these people in the dashboard, which will allow staff to act.

For example, staff can then contact these people to remind them of their appointments, leading to fewer people not attending, saving doctors’ and nurses’ valuable time.

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