The Role of Query Language in Health Informatics

A vast amount of data is available at our fingertips. In healthcare, it’s created the opportunity for non-medical professionals to step into the industry and analyze the data using the latest technology. Data analysis in healthcare offers significant benefits to patients and providers. It improves care with faster and more accurate diagnoses and personalized treatment plans. From a business perspective, leveraging data can lower costs and simplify internal operations. 

Health data analysts are expected to solve problems using the tools at their disposal. One of the key helpful tools is a query language. 

What is Query Language?

Query language (QL) in healthcare falls under the umbrella of health informatics—a field that employs technology to improve outcomes. There are multiple query languages, and to understand what QLs are, and their full implication, we need to define “query.” 

Wake Forest University School of Professional Studies (SPS) faculty member  Dr. Mountasser Kadrie explains: “A query is a request made by a user for data or information to make a decision.” 

A query falls under one of two categories:

• Select: a query that picks parts of the overall dataset
• Action: a query that manipulates the data it retrieves

With this understanding, QL refers to any computer programming language that requests,  retrieves, or updates data from databases or information systems.

“An exciting and emerging application of QL is Structured Query Language,” says Dr. Kadrie. “This is a standard computer language containing a set of defined syntax and expressions for accessing and managing data.”

Structured query language (SQL) is quickly becoming one of the most prominent ways to organize and analyze data in healthcare. 

>Read More: 3 Emerging Trends in Health Informatics 

What Is the Impact of Query Language? 

QL already plays a significant role in the field of health informatics. It allows organizations to:

• Leverage massive amounts of data for actionable initiatives and applications
• Store large volumes of medical information
• Capture, extract, model, and analyze data to improve and enhance underlying processes 
• Promote visualization tools to convey the findings to decision makers
• Enhance transparency and validity of health data analysis
• Automate data management tasks and perform calculations

According to Dr. Kadrie, this is only the beginning. 

“The quantity of healthcare data and information is increasing daily, and organizations are faced with the necessary challenge of storing and processing it,” he explains. “This is where using SQL becomes essential for health informatics and the healthcare field.”

SQL is a powerful solution to the data dilemmas many healthcare professionals face today. It offers a way to make the most of information for organizations in all settings rather than being overwhelmed.

Strengthen Your Understanding of Query Language With Wake Forest

Increasing your understanding of QL can help make you more efficient and well-versed in healthcare data analysis.

The topic is covered in various courses throughout the online Master of Health Informatics program at SPS, but Dr. Kadrie recommends that anyone interested in fully grasping the concept to:

• Learn the basic SQL syntax
• Familiarize oneself with helpful SQL resources and tools
• Build SQL projects and gain the critical core competencies 

QL and SQL  are at the forefront of the healthcare informatics revolution. Not only do you have the potential to advance your career, but you can also help improve patient care and outcomes. 

Learn more about the online Master of Health Informatics degree program at Wake Forest University’s School of Professional Studies today.