If you know about data analysis, you most likely also know or would have heard about data visualization. Data visualization is a crucial aspect of data analysis and is the representation of information or data in the form of a chart, graph, or other visual formats. This talks about the relationship between the image and data. With this, it is easier to see the patterns, trends and also build the entire picture of what the data means.

As big data becomes more and more prevalent, we must be able to interpret large amounts of data. Using machine learning makes it convenient to perform analyses, such as predictive analysis that can serve as useful visualization to present. However, data visualization is not only important for data analysts or data scientists, it is crucial for any field. Especially in healthcare where the various departments have to deal with large amounts of patient data every day. Medical data visualization gets plays a crucial role here because time is of the essence, so the faster the data makes sense the quicker it is for physicians to improve a patient’s condition.

However, having a large amount of data is not very useful without being able to easily understand and make sense of it. With, data visualization in healthcare, the most important aspects of the health industry come to light. It helps in identifying patterns and correlations. Also, it makes data analysis highly efficient.

The healthcare industry is one of the most considerable revenue-generating industries in the world. Research shows that the size of global bigdata in the healthcare market will reach $34.27 billion by the end of 2022. This rapid growth is also driving the industry to adopt and use data visualization tools for eliminating the risk of being outdated from the market and offering adequate medical facilities to patients. The nature of massive data and complex operations has influenced the healthcare industry to opt for data visualization for syndicating data and revolutionizing healthcare programs across the world.

Thus, it is safe to say that in present times, the health industry can hardly survive without data visualization.

For instance, it lets a healthcare organization address safety or other problems before they become bigger. The aim is to offer actionable insights that help in driving change.

The National Center for Health Statistics of the Center for Disease Control provides a data visualization gallery on the basis of the data that the organization collects. Also, a popular health research center, The Institute for Health Metrics and Evaluation at UW Medicine, features data visualization regularly on its sites on various topics.

As per a case study, to improve the easy and efficiency of EHR data, data visualization dashboards are used. The focus is on 2 modules: 30 days re-admission and sepsis patient outcomes. The objective is to come up with meaningful reports that are easy to read and highlight the crucial performance metrics. It is helpful to save time and get a ready-to-go available information.

Healthcare data comes from different sources and various formats. Data collection and aggregation are equally fragmented. So, extracting and integrating data can be a real challenge. The need to make sense out of data is becoming imperative in the healthcare industry demanding skill, attention, time, and resources that several providers don’t have.

Data visualization can help in such situations and offer valuable insights if the healthcare providers, doctors, nurses, etc. follow some important guidelines.

So, if a patient requires an emergency room for stroke symptoms that they haven’t seen before, the medical professionals will have their complete medical history with them.