Healthcare & TechnologyThe Role of Data Analytics in Healthcare

March 9, 2022

Having the ability to quickly analyze massive sets of data is extremely important in the medical field. In the world of healthcare, decisions often have life-altering outcomes. Accurate data ensures fewer errors when it comes to treatments and surgeries, and better predictions of large-scale health events, such as the currently unfolding COVID-19 pandemic. Whether you’re a physician working with patients, or you run the business side of a healthcare organization, access to data analytics can highly improve your work and decision-making efforts. 

What Is Data Analytics? 

Healthcare data analytics is the process of analyzing both current and historical data. This improves a large pool of medical processes, including patient care, administrative and financial tasks, and a multitude of other healthcare services. In addition, data analytics helps with predicting trends and managing the spread of diseases. Having access to critical data also reduces costs and improves diagnostics.  

Interpreting data to reveal valuable insight is key in healthcare, and every modern medical establishment should be taking advantage of this opportunity. Moreover, when data analytics is merged with data visualization tools and business intelligence suites, it allows managers to better handle real-time information. This ultimately leads to better decision-making, thanks to readily available insight at both the macro and micro levels. 

What are the benefits of Data Analytics in healthcare? 

The benefits of data analytics in healthcare are far reaching. In this article, SMEDIX is examining how data analytics improves patient care, increases efficiency, helps physicians make better decisions, and more. 

1. Access to real-time healthcare data 

Right off the bat, you’re provided with valuable and updated healthcare information. With the help of IoT devices and digital clouds, you can have access to critical data anywhere. Doctors, medical professionals and institutions that take advantage of real-time medical data can fundamentally improve treatments, patient care quality and diagnostic performance. Not to mention that access to evidence-based data on-the-go can significantly improve productivity and time-management efforts.  

2. Improved patient care 

One of the main benefits of data analytics is how it improves patient care. Having access to accurate data automatically means better clinical insights for doctors and other healthcare providers. Better diagnosis and treatment plans automatically mean better patient outcomes. Medical practices become more effective, drastically reducing ambiguities involved in treatments. Furthermore, by analyzing patient data, there’s also a chance of lowering readmission rates.  

3. Enhanced business efforts 

By analyzing critical data and taking advantage of intuitive tools, your business can identify new opportunities and gain a competitive edge over the competition. Tracking key performance indicators to better understand strengths and weaknesses of your business should be part of your growth strategy. Moreover, data analytics also provides you with real-time information, which can highly improve a lot of areas, including decision-making. 

4. Superior efficiency 

When it comes to the healthcare environment, everything has to be done accurately and as efficiently as possible. Reliable data sets not only enhance patient care, but considerably improve overall healthcare efficiency and quality. By having access to key metrics, you unlock new opportunities to improve clinical procedures in a more efficient manner. With readily available information at your disposal, productivity is guaranteed to increase. 

5. Access to predictive analytics 

Analyzing current and historical data to figure out how a disease or a virus might evolve is of utmost importance in the healthcare field. Predictive analytics can pinpoint which segment or group of patients are at a higher risk for certain types of diseases. This also puts early intervention on the table. Data analytics and machine learning enhance medical efforts and disease management, and allow you to manage your medical inventory based on demand. 

6. Improved care thanks to IoT devices 

Doctors and healthcare providers can utilize data from patients’ wearable devices. Physicians can recognize patterns or inconsistencies, which automatically improves diagnostics, treatment and patient outcomes. Nowadays, fitness bracelets and watches keep track of numerous activities, including heart rate, physical activity levels, sleep patterns, calories, and more. 

7. Reduced costs 

Understanding patient patterns leads to better treatment. This can also mean fewer admissions or re-admissions. With the help of different IoT devices, keeping an eye on patients becomes easier, and sometimes hospitalization isn’t even required, or hospital stays are shortened. This leads to cost reductions on both parts. Plus, by having access to key data, hospitals can plan treatments more efficiently and can properly allocate resources. 

Looking for healthcare data analytics solutions? 

At SMEDIX, we are dedicated to ensure a smooth flow of critical information in the healthcare sector. Our agile approach allows us to enhance your dynamic medical environment and streamline processes to help you achieve your project milestones.  

Our team’s mission is to boost the quality of your product by applying leading technologies, including health IT analytics. We have extensive expertise in this field, and genuine passion for what we do. If you want to learn more, please don’t hesitate to reach out.