As what we’ve learned from previous discussion, data are raw elements that by themselves have no meaning. But when grouped together and are processed will be able to form information. This information will then be the basis for diagnosing diseases and for patient tracking.
Data quality is simply referred to as the measure of how the data fits its intended purpose. Hence, data quality is important because it ensures that the information used to make key business decisions is reliable, accurate, and complete. Without data quality, a business or a healthcare unit would be experiencing different troubles at the same time because a lot of organizations use data to aid in the decision-making process. It is important that we get to learn and understand data quality as it brings us with numerous benefits such as high-quality data making batter decisions and being able to understand customers.
An article below gives us much deeper and more comprehensive understanding of what data quality really is. The article will be of great help to learn the importance, benefits, and dimensions of data quality.

https://www.tibco.com/reference-center/what-is-data-quality