Healthcare is witnessing tremendous transformation.
While the pandemic has catalyzed the move to digital, there’s a need to address challenges such as the lack of improved patient care.
This is where healthcare analytics can play a critical role.
In this blog post, we look at how you can improve the effectiveness of healthcare analytics with data visualization, and more.
The State of Healthcare Analytics
The global healthcare analytics market is projected to expand at a compound annual growth rate of 21.5% from 2022-2030.
This growth is driven by rapid technological advancement, as well as investments being made by the industry into the digitization of healthcare.
Analytics is enabling health centers to improve medical research and patient outcomes, get operational insights, and more.
In fact, health centers are increasingly looking to improve decision-making with the power of data-driven insights.
Data visualization is an important aspect of healthcare analytics that enables you to make quick and effective decisions.
How Does Data Visualization Help With Healthcare Analytics?
“Data visualization is becoming an increasingly common method of presenting large and complex data sets…”
– U.S. National Institutes of Health
Healthcare systems collect data from Electronic Health/Medical Records (EHR/EMRs), remote monitoring devices, as well as hospital management systems.
In addition to this, they get data from diagnostics centers, laboratories, and pharmaceutical companies.
However, having big data amounts to little value if you’re unable to leverage data visualization.
It enables you to transform complex data into visuals that are easy-to-digest.
Let’s look at the most common type of data visualization used by healthcare organizations.
What Are Interactive Dashboards?
Dashboards combine multiple interactive reports, and can be categorized as follows:
- Operational Dashboards: Real-time data display
- Strategic Dashboards: Pattern and trend analysis, over time
- Analytics Dashboards: Advanced analytics (for example, patient experience analysis)
Here’s a dashboard built on Tableau, one of the leading business intelligence platforms.
The dashboard is a detailed visualization of the quality measures of a list of healthcare providers.
At the top, you’ll see a summary of providers, total patients, screened patients, diagnosed patients, a goal defined in percentage points, and actual performance.
This data would be useful to a decision-maker in healthcare as it provides a clear summarization of important data relating to health centers.
Under the summarized data, you’ll see a bar chart showing ‘target vs screened patients’, and on the right you’ll see ‘performance by month’, and so on.
Now you know how critical it is to be able to visualize data effectively for successful healthcare outcomes.
What Tools Are Used to Visualize Healthcare Data?
There are two ways in which you can visualize data. You can either build custom software, or use readily available applications.
While you can modify custom software according to business needs, there are limitations to the extent you can customize ready-made apps.
Here are three of the most popular tools used to visualize healthcare data:
The dashboard you just viewed was built on Tableau. The software enables you to visualize data in the form of charts, tables, graphs, maps, dashboards, and more.
Domo is a data application platform that helps you view data in the form of pie-charts, graphs, as well as interactive maps, in real-time.
With this chart builder, you can analyze data by importing, designing, and sharing charts on the platform.
In this blog post, we looked at how you can improve the effectiveness of healthcare analytics with data visualization, and more.
When it comes to the magic you can work with data visualization for healthcare, the sky is really the limit.
Visualize Important Healthcare Data for Effective Decision-Making.
At Grazitti, the data analytics team is famed for the magic they work with data visualization for healthcare.
Should you want to know more, please write to us at [email protected] and we’ll take it from there.
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