Essay Sample on Data Visualization: A Vital Tool for Statistics Experts

Introduction

Data visualization is the term used by statistics experts in reference to the presentation of data either graphically or in pictorial format. It is imperative to note that data visualization uses visual elements such as maps, graphs, and charts. Hence, providing an accessible way for statisticians to see and understand patterns, outliers, and trends which are attached to a specific set of data. Over time, data visualization has been playing a critical role in enabling decision-makers to work efficiently (Schneiderman, Plaisant & Hesse, 2013). With that in mind, it is logical to note that interactive visual analytics and information visualization have brought significant changes to healthcare sectors. Especially, in analysing health records. Hence, improve the formulation of public health policy, enhance clinician treatment decisions, and influence personal health monitoring.

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The quality of data is a critical part of electronic health records systems. Research indicates that if electronic health records systems are used well, they can streamline the process of identifying common defects which are attached to primary health data (Schneiderman et al., 2013). As a data quality assurance officer, I have witnessed that one of the prudent ways of using electronic health records systems is by adopting various data visualization techniques. In my workplace, the organization has invested significant resources in putting in place data visualization technologies and tools. That is because the management is first, conversant with the essentiality of analysing the data which is collected daily. Secondly, the administration recognizes the advantage attached to making data-driven decisions when coming up with a strategy.

Using data visualization has a wide range of challenges. However, it has overtime brought a lot of benefits at my workplace (Schneiderman et al., 2013). The first advantage is that data visualization offers busy clinicians the much-needed bulk information in the right format and on time. Data visualization, which is done by electronic health records systems has a way of summarizing large amounts of data and manipulate it into customized overviews (Schneiderman et al., 2013). Hence, enabling physicians to get a clear view of patients' medical history with ease. Thus, improving the efficiency of clinicians as they offer services to multiple patients.

The second benefit is that data visualization plays a vital role in catalyzing the team decision-making process. Advancement in electronic health records systems, especially after adopting the use of data visualization has led to a shift from individual to team decision making (Schneiderman et al., 2013). This is whereby multiple members in the care system can work together in harmony. Hence, the emergence of team-oriented medical decisions being made efficiently. Research indicates that such instances have over time led to improved quality of healthcare and enhanced creativity among physicians (Schneiderman et al., 2013). Additionally, physicians are making informed decisions, which is a critical tool for eradicating medical errors.

Conclusion

In a nutshell, from the above analysis, it is evident that data visualization has brought profound shifts in the medical field. That is because exponential growth attached to health informatics, visual analytics, and information visualization has demonstrated excellent results when implemented in the healthcare sector (Schneiderman et al., 2013). With that in mind, it is clear that further integration of data visualization in the healthcare sector has the potential to produce significant benefits. Those advantages will be felt across the globe because they will improve the formulation of public health policy, enhance clinician treatment decisions, and influence personal health monitoring.

Reference

Schneiderman, B., Plaisant, C., & Hesse, B. W. (2013). Improving health and healthcare with interactive visualization methods. HCIL Technical Report, 1, 1-13.