It is also sometimes referred to as unstructured data. Qualitative data is non-numeric information. Understanding health-related qualitative data using data visualization Here is another data visualization example of how healthcare quantitative data can be illustrated using infographics so it’s easier to scan and understand:ĬREATE THIS INFOGRAPHIC TEMPLATE 3. In this example below, the US Centers for Diseases and Control (CDC) visualizes quantitative data by graphing weekly COVID-19-associated hospitalization rates between March and November 2020. It’s amazing that at the click of a button and at any time, clinicians can pull up patients’ medical information. Also, 85.9% of office-based physicians use any type of electronic medical record (EMR) or EHR system. health outcomes (for example, basal metabolic index (BMI), weight, and waist circumference)Īpproximately four out of five (96%) non-federal acute care hospitals in the US have a basic EHR system.their behaviors (for example, average number of minutes to complete a physical activity).the number of individuals participating in a clinical study.Examples of quantitative data that can be pulled up from EHRs include: Numbers don’t lie! Quantitative data is all about numbers. American author Gregg Easterbrook wrote, “Torture numbers, and they’ll confess to anything.” Understanding health-related quantitative data using data visualization In the data visualization below, heart rate and sleep are recorded in the days preceding, during, and after a Ph.D. When physicians collect this data and integrate them into patients’ EHRs, they can predict a patient’s health status.įor example, visualizing a patient’s heart rate over time can reveal heart abnormalities. A medical disaster can be caught before it ever happens. With the growing popularity of fitness apps, wearable devices, biosensors, and other clinical devices that can track patients’ real-time physiological data, physicians can save more lives than ever before. Understanding health-related qualitative data.Understanding health-related quantitative data.Today, more health data is collected digitally and stored in EHRs than was collected decades ago.ĭata visualization has so many applications in healthcare. The former involves visual interpretation, and the latter analysis (processing).īelow is an example of how data visualization is used to describe a caffeine addiction weaning progress:ĬREATE THIS INFOGRAPHIC TEMPLATE How is data visualization used in healthcare? The goal of data visualization is for the user to see and understand complex statistics in a digestible format.ĭata visualization goes hand-in-hand with data analytics. To make critical life-changing decisions, you need to first visualize your data in a way that helps you connect the dots.ĬREATE THIS CHART TEMPLATE What is data visualization?ĭata visualization, also known as DataViz, is the representation of complex data in a graphical format. But having access to this data is not enough to save lives. Patient data is also constantly extracted from health surveys, claims, and vital records.ĭisease registries also track patient data round-the-clock. Not to forget the physiological data collected from clinical trials and wearable devices. Examples of data visualization in healthcareĪn electronic health record (EHR) is like a bagless vacuum cleaner for health data. It sucks up every bit of data, from a patient’s medical history to diagnoses and laboratory test results.Īnd it doesn’t end there.Qualities of good health data visualization.How can data visualization improve healthcare decision-making?.How is data visualization used in healthcare?.START CREATING FOR FREE Click to jump ahead: We will also give you some professionally designed templates that you can use, along with Venngage’s Infographic Maker to start visualizing your healthcare data. In this article, we will look at how data visualization is used in healthcare. This visual representation of data is beneficial for evidence-driven clinical decisions. Venngage data visualization templates can help stakeholders tell a story with data. Healthcare data visualization makes sense of large volumes of data, enabling health professionals to inch closer to their goal of saving lives. Healthcare data visualization plays a crucial role in saving lives.īig data is disrupting the health care industry. It’s no surprise that the healthcare analytics market is expected to reach USD 40.781 Billion by 2025.
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