Healthcare Big Data Applications

Healthcare Big

Healthcare big data applications are expected to grow as a market from
$11.5 billion in 2016 to $70 billion in 2025
. Big data analytics is the next
step to change healthcare for the better.

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What is big data and how does
it find use in healthcare software?

To better understand all the uses there are for big data in healthcare, we must first explain what big data processing is exactly. The technology is based on creating large sets of structured and unstructured data that can then be analyzed.

Big data analysis can then show trends, provide insights, and recognize patterns in the information. When it comes to healthcare, such data can assist in patient care itself.

The main sources from which healthcare data is collected in the industry are electronic health records (EHR), electronic medical records (EMR), patient treatment records, remote smart devices, and mobile health apps.

After the systems analyze data they provide healthcare organizations with insights on how to enhance patient care, improve patient outcomes, and reduce healthcare costs. Using the power of machine learning for healthcare data analytics, healthcare providers can greatly improve efficiency and treatment.

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Types of big data healthcare
software applications

As we previously mentioned there are many different ways through which a database can be created, filled with medical data and information. Implementing big data in the industry can be done easily via a variety of different avenues.

Electronic health record data

One of the main big data tools used to gather patient data is EHR. Health data can easily be found in medical records. When they are digitized they can be easily accessed by authorized personnel and software in order to be used by data scientists and medical researchers to carry out efficient healthcare analytics.

Medical imaging

To better understand a patient’s case, oftentimes medical imaging is included in the clinical data. In most cases up to this point, artificial intelligence hasn’t been able to provide clinical decision support as it hasn’t been able to read the images well.

With the help of healthcare big data analytics, given software is able to accurately read scans and assist medical professionals even when it comes to patients with complex medical histories.

Cancer management

When it comes to some diseases, it is not always easy to identify them at an early stage. With cancer, especially, it is very vital to know if someone may have it as soon as possible when treatment can still be administered.

Medical research can work with data recorded accurately to try and cure such diseases, but until a breakthrough like that happens, we have to scan for them better. Big data can help in cancer research, but also examine tumor samples and predict acute medical events before they even happen.

Benefits of big data
software applications

Benefits of big data software applications

There are many good things we can say about big data in the healthcare sector, but what are the exact benefits of such applications?

  • Improved patient care: Through big data initiatives, not only health-related data is gathered. There is a lot of information about the patient’s experience in a healthcare facility. This experience can be used to enhance the service for future patients and improve the care that is provided as a whole.

  • Better research: Big data offers researchers unprecedented access to population health data that they can use to create more precise information models. This data mining can then be used for enhanced predictive analytics that can not only save a lot of time but also a lot of people.

  • Early detection: With larger health statistics and access to hospital admissions records, big data applications can support health professionals in recognizing cancer patients a lot faster and at an earlier stage. Many other patients can be helped as big data can also identify lifestyle factors that lead to chronic diseases.

  • Reduce costs: The healthcare system is notorious for having high costs. Big data integration can solve a lot of problems by identifying proper treatment plans, employing more efficient resource management practices, and identifying potential administrative and health issues before they occur. The way applications accomplish everything is by recognizing key performance indicators and having access to financial data.

    Data aggregation challenges are one of the only issues that stand in the way of big data applications functioning at their full potential. Having to coordinate with all the hospitals, healthcare facilities, government agencies, and administrators can take a lot of time and planning. All the benefits that it can bring, however, are definitely worth the effort.

    In healthcare big data can be a great asset to possess. It can bring a lot of benefits to the table and although it may need some initial effort to get going, the payoff is unquestionably worth it.

    In order to get everything that big data applications have to offer, however, you need to have an experienced partner like BGO software with years of relevant experience in the field of developing software for the healthcare industry.

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