![]() A big reason for visualizing qualitative data is to understand the connections and patterns between certain keywords.ĭata visualization portrays qualitative data using methods like text analysis (word clouds), timelines, and illustrative diagrams.Īccording to Adam Long, chief technology and innovation officer of Unico: 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. ![]()
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