Schedule a demo
clear

Written by Bash Sarmiento

Technological innovation makes it possible for us to do many things more efficiently and effectively. One area that has been significantly impacted by cutting-edge developments, specifically in the digital sphere, is healthcare. Today, nurses no longer need to dive into piles of patient records to verify information since these can be accessed on client management software with just a click of the mouse. 

Doctors and patients can also partner with each other for remote monitoring in cases where the latter are located far from city areas and do not have easy access to healthcare workers. In addition, modern-day diagnostic tools, such as imaging techniques and data visualization practices, enable medical professionals to quickly make sense of vast amounts of information and interpret results more accurately, thereby enhancing patient care and treatment. 

Data visualization, in particular, has proven to be a boon to the healthcare community. If you are looking for a way to strengthen your diagnostic procedures and streamline your clinic operations, read on to discover these effective data visualization practices. 

Boost Your Data Visualization

Ensure graphic integrity

Graphical integrity simply means the accuracy by which visual elements illustrate or depict the data. First off, validate how accurate your facts and figures are. The slightest fallacy can cast a shadow of doubt over your entire data presentation. The representation of numbers should also be directly proportional to their physical measurement on the graph or whatever type of visual you have selected.

Data must be clearly labeled with the relevant details without looking cluttered. In addition, the design format should not vary from one slide to the next. Confusing your viewers with a random array of texts and shapes will make it difficult for them to figure out the information and extract the necessary insights. 

Make your data user-friendly

It is easy to make complex data even more complicated by using technical jargon. Sure, between healthcare providers or HCPs, it is quite normal to make such exchanges using industry speak.

When sharing information in specialized language that is to be used within the healthcare community, there should be no issue. 

However, remember that when the information will ultimately be consumed by individuals outside of the medical or healthcare profession, i.e., patients and their companions, it would be wise to communicate in a patient-centric manner. Terms to be used in presenting the facts and figures should be easily understood by patients and their families, as well as other clinic stakeholders. In addition, the typically complex medical data should be expressed simply to make it less intimidating. 

Utilize data visualization tools

We cannot overemphasize that your clinic’s data visuals should be easy to digest and use. Fortunately, there are many data visualization platforms available in the market that can help you create charts and graphs that are not only aesthetically appealing but also highly intuitive. Many software companies have developed apps that provide easy-to-navigate templates, which can be readily shared. Competent visualization tools should be equipped with powerful features such as integration capabilities and real-time processing.

You may also use software that can monitor app performance, even on mobile devices. Some of these apps have several metrics. Others, such as Instabug, offer one comprehensive metric that already incorporates assessment of crashes, screen transitions, user-interface hangs, and client-side network latencies. 

Leverage data visualizations of the healthcare community

Often, private practices are limited by financial considerations that hamper their ability to collate and process large amounts of data. This is where clinical, administrative, and financial statistics and details from the public health sector can prove invaluable. By tapping available external resources, medical professionals can secure useful information to help identify patterns and variables from more extensive data sets, helping them get a hold of more robust analyses on which to make informed decisions.

Several sources of public health information are available from which you can access administrative and medical records, disease registries, peer-reviewed literature, and a whole lot more. You may connect with online libraries, such as those of the Institute for Health Metrics and Evaluation (IHME) and the University of Washington. 

Less may be more when you’re sharing results of a study

While you are expected to be completely thorough and include all the details when you publish a paper in a medical journal, it may not always be practical to present all the i’s and t’s when you share findings from a study or research. Bombarding your audience with large datasets can overwhelm them with information that may not necessarily be relevant to them. 

The primary objective of data visualization is for your viewers to quickly grasp the information presented so they can come up with an actionable takeaway. Mini-infographics with single data points that can be easily absorbed and appreciated may serve your purposes. 

The Takeaway

Data visualization can be of utmost importance to your clinic practice, helping you to effectively process what would otherwise be unwieldy figures, metrics, and facts. Apply the tips we have recommended so you can optimize your data to better serve your patients and streamline your day-to-day operations—and prepare to be amazed at the resulting improvements.

chatbot Smiley face
profile

Genamet

cancle cancle cancle
Smiley face

Welcome to Genamet.
Can I help you?

profile

How can we reach you?