The world of healthcare analytics is vast and can encompass a wide range of data that has the incredible potential to tell stories about health and healthcare delivery: right from individual patients to entire populations. Having numbers and an easy-to-use visualization at hand gives providers and caregivers the power not only to track the ongoing activities in their organizations. Simply showing visualizations are not enough and to fully understand their value, healthcare organizations have to take a few steps beyond basic graphs.
The Case for Data Visualization
In the words of Edward O. Wilson, the father or social biology,
“You teach me, I forget.
You show me, I remember.
You involve me, I understand.”
There are many disparate data sources healthcare providers have to deal with: EHRs, departmental data, claims data, resource utilization, administrative data, etc. Consolidating the data and spreading it out in a visually adaptive manner offers a more agile approach to managing complex population health data.
Data visualization was developed with the aim to make it easier to gain actionable insights from volumes of information and work on improving health programs, clinical healthcare delivery, and post-episode care management. Visualization provides real value in learning from disparate data sources, finding outliers, bringing out hidden trends out on the front, and delivering better health outcomes.
Streamlining Different Data Sources into a Single Source of Truth
Since the data pertaining to a patient’s health comes in from various sources, it is vital to pool all the data sets and obtain an aggregated, standard format of data every authorized person can view and manipulate.
Data in the healthcare industry can broadly be categorized into two sources:
Fine-tuning Real-Time Visualization
The amount of data healthcare institutions aggregate is enormous: by 2012, it was estimated to be a whopping 150 exabytes (150 million * million * million) and is growing at a rate of 48% per year. As the volume grows, healthcare organizations need state-of-the-art, real-time analytical capabilities to improve the care quality and its effectiveness. Real-time analytics can turn the tables in ways more than one:
Since data visualization holds great advantage to understand the going-ons in the organization in real-time, here are some key elements that count as best practices for data visualization:
Wrap-up with Healthcare IT
By leveraging healthcare IT, organizations can have their hands on simple but effective visualization and take a look at additional, important information that might have been difficult to notice in tabular format. Here are some ways healthcare IT can drive real-time data visualization to success:
Driving Value with Visualization
With healthcare IT now an integral part of the value-based care system, there is little doubt that convenient, real-time data visualization will be heavily used to achieve positive health outcomes. Combining real-time data with advanced analytics will completely reshape how healthcare IT can improve clinical and operational outcomes. Once physicians move away from long, incomprehensible data flows, and find an alternative that helps them instinctively read, isolate, and act upon the insights, only then can we be one step closer to a data-driven value-based care.
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