Using Data Analytics to Revolutionize Healthcare

Healthcare is making giant leaps forward due to data analysis. The global market for data analytics in healthcare was estimated to grow at an annual growth rate of 7.5% from 2020 to 2027, which means an increase from $26 billion in 2019, as Grand View Research reported. Unlocking hospital data insights, in turn, will improve patient outcomes and help you devote your resources to what matters—practice growth and focused patient services.

Read the full article to learn about the revolutionary advantages of data analytics in healthcare.

What is data analytics in healthcare?

Data analytics involves analyzing data in its many structured and unstructured forms. The aim is to help providers overcome obstacles to the widespread application of data-derived intelligence. It can also be done to spot trends and to ensure data collaboration among colleagues and external partners. Data in healthcare can come from various sources, including Electronic Health Records (EHRs), medical imaging, clinical trials, health insurance claims, and more.

Before jumping into what makes healthcare data analytics an essential tool, we need to understand the different types of healthcare analytics, which can be categorized into four types:

  1. Descriptive – this involves looking into historical data, helping determine trends and events 
  2. Prescriptive – this is used to optimize outcomes by creating treatment plans and determining the right course of action based on previous outcomes
  3. Predictive – this process uses past data to anticipate future events, helping predict patient needs and identifying at-risk patients
  4. Diagnostic –  this involves figuring out why something happened and how to prevent it from happening again. It is used, for example, when investigating the causes of illnesses or health trends.


Advantages of data analytics in healthcare

Once accurate healthcare data is generated, healthcare providers can respond with data-driven forecasts and react in a well-informed manner. This actionable intelligence can create the greatest impact on your practice, especially in these areas of healthcare:


  • Automation of hospital administrative processes
  • Early disease detection
  • Prevention of unnecessary doctor’s visits
  • More accurate calculation of health insurance rates
  • More effective sharing of patient data
  • Personalization of patient care
  • Research and prediction of disease
  • Discovery of new drugs

Getting started on data analytics involves integrating heterogeneous data types, ensuring the data quality upon reception and throughout the analysis, creating data models, and interpreting the results. It may sound easy, but practices usually outsource a highly experienced service provider like Synapse, who understands the complexity of healthcare data to sort it out.


Synapse’s Data Analytics: Revolutionizing Healthcare

As more healthcare providers seek an efficient, cost-effective way to treat their patients, our practice analyses unlock crucial data-driven patient information without draining our clients’ wallets.

We ensure that implementing data analytics can help you better manage your clinics. Apply analytic techniques for your practical and complicated operational issues, like managing demand for hospital beds and other healthcare resources or building new healthcare capacity. To focus on patient-centered healthcare, you need to know what your patients want and need. Data analytics is the key to revealing what you might not know. Gain access to vital information through our data analytics. Schedule a FREE consultation with us!

You may also call us at (844) 384-7532 or email us at

4 Benefits of Data Analytics in Healthcare, 2021, from 

How Data Analytics in Healthcare is Revolutionising Medical Service, 2023, from