With an increase in the use of technology, healthcare systems worldwide face challenges due to patient's expectations. It becomes challenging to improve healthcare services while at the same time containing the costs.

However, this is where Big Data comes in to help. With Big Data around, healthcare providers can detect patterns and turn high volumes of data into actionable knowledge. This will help in precision medicine and decision making.

Big Data and mobile apps are, in some contexts, offering meaningful solutions for patient care and the generation of value for healthcare organizations. So, there is every reason to continue embracing the use of technology for better healthcare services.

But for this to happen, it requires all the relevant stakeholders in the field to come together and join hands. Efforts must be seen in building the technological infrastructure to converge and house the large volume of healthcare data, and educating citizens on the benefits of this new frontier.

With so doing, Big Data and mobile apps can see the healthcare system attaining its goals in unprecedented ways.


Is Big Data Needed in Healthcare?

Big Data doesn’t necessarily mean large data volumes. If it only said that, then there wouldn't be a need for the healthcare system to employ this strategy in their services. This is because most of them can contain their data in a robust relational database.

Big Data, in this context, refers to datasets too ambiguous for typical database software tools to capture, store, manage, and at the same time, analyze. Therefore, the application of Big Data in healthcare systems can result in a quicker and more efficient management of patients.

Other than the patient data contained in the text, different types of data include images and sounds sourced from ultrasounds and x-rays, MRI imaging, and Doppler. Additionally, some doctors even request that their meetings with patients be documented and recorded for future referrals.

Though it happens, the collection of this information is mostly without order. This means that you can't retrieve the data in neat tablets and columns of a relational database. With Big Data, everything gets arranged in order, so reaching for the info when needed becomes faster and easier.

In recent times, the demand for data scientists to extract meaningful information from the random and non-sequential databases has gotten pretty high. However, these skills are short in supply, which makes them very expensive.

Where healthcare systems have managed to employ these skills, the results have immensely been tremendous. Patients' lives have now been made more straightforward, and medical practitioners can quickly diagnose their clients without significant complexities.

So, is Big Data needed healthcare? Yes, and the future promises advancements in analytics capable of monitoring health better than before. However, there is a need to address issues such as security and data privacy.

Benefits of Big Data Analytics for Healthcare Systems

Big Data analysis stems from associating various types of information, captured electronically. Over the years, the industry has seen new tools, platforms, and methodologies in storing and structuring such data.

This has also seen the same happen in the healthcare system. To date, Big Data can collect information from social media, electronic health records, patient summaries, pharmaceutical and genomic data, clinical trials, mobile applications, and sensors, among other indicators.

With such amounts of data, healthcare professionals are at an advantage of making their work easier. Big Data involves the collection of individual data and moves to the fusion of heterogeneous information from different sources.

Therefore, Big Data can assist in revealing new approaches in improving health by offering insights into the following:

• Causes and outcomes of diseases

• Improved disease prediction and prevention

• Enhanced precision medicine and drug targets

Moreover, both the healthcare system and patients can benefit from Big Data and mobile apps. For better providence of healthcare services, Big Data and mobile applications will have to be significant contributors as we progress to the future.

Improved Health of the Population

Risk indicators and trends can easily be identified through the use of big data, especially by analyzing such data sets. This will greatly help health professionals to identify people who are at a greater risk of contracting some ailments for conditions. They will then be treated in time before such conditions becomes serious, thereby saving a lot of lives.

Increase in Healthcare Efficiency

Such representative data is critical towards helping healthcare systems to improve their efficiency, which then translates to better services to patients. It becomes easy for healthcare providers to identify places that needs improvements or could use some automation for better delivery of services. Such measures will eventually lead to cost saving for such healthcare firms, and this will also trickle down to patients healthcare costs.

What is the Healthcare System is Missing Out on for Neglecting Big Data?

One of the most apparent miss outs in this context is that Big Data can help save lives. Other than algorithms, developers of machine learning can pair healthcare analysis services with AI, and open new capabilities in the health sector.

Stanford University computer scientists released a report in July 2018, saying that they used AI to predict side effects of different drug combinations. Before this, the CDC reported that 35% of the U.S. population was using a combination of prescriptions.

With so many drugs in the market, it's impossible to test such drugs together. Therefore, the combination of untested medications might end up, resulting in adverse experiences. But with Big Data, this can quickly and safely be evaded.

Final Thoughts

As the world's population increases rapidly, so do new diseases. Therefore, as a healthcare provider, you require the knowledge to respond and deal with these new diseases.

Similarly, you must have easy access to meaningful information on your patients' records. The role of Big Data and mobile apps in healthcare is to easily connect and receive the needed assistance concerning their health from healthcare professionals.

With so doing, healthcare professionals can manage a ton of patients remotely because they have all the necessary information.