What is the Crucial Role of Big Data in Healthcare Industry?

Big Data In Healthcare

What is the Crucial Role of Big Data in Healthcare Industry?

Big data has almost acquired all of the biggest industries. Well, talking about the biggest Industries, the Healthcare Industry is one of the names on the list. Even though the big data in healthcare industry has come to an edge of shifts and drifts, the whole industry is very slow in adopting the change because of numerous reasons.

Looking towards the Big Data towards healthcare, It will not be a fair moment if we don’t discuss the hot role of big data in healthcare industry.

The role of Big data in healthcare for the health triple aim. Now, what is Triple aim of healthcare?

– Upgrading a Patient’s Experience

– Improving overall population health

– Effective per capita cost of health care

It seems to be unreasonable about accomplishing all the three aims at once. But there are many changes in numerous aspects of the industry that are having shifts simultaneously in all three areas. Specifying the three areas having drastic changes and increasing the use of analytics of Big data in Healthcare Industry.

1. Promising value-based Healthcare:

Since traditional Methods were proven insufficient to manage healthcare and medical research, modern technology has created a way of analyzing the large quantity of information. Which showed the right time to implement the big data in medical research and big data in healthcare.

So, what do you know about value-based healthcare? Don’t worry if you don’t know.

Here is what I can define value-based healthcare in simple words.

It is an approach that focuses on healthcare outcome per monetary spent. The value-based system pays the providers on their contribution basis for the desired outcomes. Traditional methodologies have proven to get discouraged achieving the triple aim over time. With value-based methodology, there is an increase in quality and satisfaction and encouragement in innovation.

The traditional method provides payment according to the number of procedures performed and some system leads to the fixed procedures.

The push to the value-based healthcare will require new systems to manage and deal with the analysis of healthcare data. It including the standardization efforts, outcome measurements and understanding the quality measures. This new system effort will lead to a number of new benefits. Value-based methodology increases the innovation pressure which would make the operations easier, eliminating the unnecessary operations. The healthcare efficiency is increased by processes which focus on the quality and increased outcome per capita.

Moreover, the value-based system can be effective beyond medical and healthcare like pharmaceuticals and other medical technologies.

2. Able to Track More Aspects of Healthcare:

Value-based Health care makes a demand for the ability to record and monitor data regarding information and quality achievements.

To approach this information, one way is, to establish the need for registries that helps to focus on healthcare outcomes. Sweden is a good example of the long tradition of diseases registries. It can contribute to the platform for data management and analysis of big data in healthcare industry. These registries include historical data related to patients with specific diagnosis and conditions.

More than 25% of total national health expenditures are covered by Sweden’s registries. It provides the cemented base to benchmark Sweden’s healthcare and estimates the performance on various aspects of the healthcare industry. These registries analyze in-depth performance variations. The practices can be evolved and improved by evaluating registry data. There are many examples like Swedish healthcare where the industry is focusing on quality and also led to reduction and control in cost.

Finally, the aggregation of data in the registries is made available to the public which leads to the medical research and clinical improvements. And the ability to understand comparative effectiveness.  As the civilians can access the information, it provides a competitive incentive for even better results.

3. Engaging Patients as Consumers:

With an increasing number of big data in healthcare becoming available, the patient’s interest is also increasing for their healthcare choices. The patients have become more eager to evaluate services using information surfing web or from other channels and sources. This highlights the importance of big data in healthcare that provides the right information to make informed and fact-based decisions.

This information enforces patients to demand the most modern healthcare and tends to take a role in collecting and sharing their own healthcare data to providers. This can increase the focus to physician instructions which are a critical factor in post-discharge gaps for appropriate care.

Another example of an opportunity to have an eye on a patient’s condition and treatment outcomes is the Swedish Rheumatoid Arthritis registry.

Doctors provide the patient to access the web interface or a healthcare application where she has to answer a number of questions and evaluate her own health status. The patient provides daily activity performance such as vacuuming, taking bath and cutting meat. She also provides the degree of pain and self-registered swelling and tenderness. And in this way, the doctor gets the current status of his patients. The physicians can compare the data from the disease registry and analyze the patients’ healthcare status over time. Based on this analysis and comparison, the treatment can be adjusted and problems can be prevented.

Big Data and Triple Aim Role:

Collecting a large amount of data has been previously time-consuming for medical staff. New technology like high-performance analytics helps in making a large amount of data into critical and relevant insights that provide better care. This analytics can use to predict negative reactions before they become a serious problem.

Example, unstructured data can gather via text mining from patient records for use in disease registries. This means gathering without any additional work from clinicians. This large information base, the analytics can help to answer questions like how and why the outcomes between the doctors, clinic, and hospitals differentiate. Encouragement in innovation and improvements in quality can be a result of transparent and highly available information.

Increasing availability, transparency and comparability of the information makes the patient more involved in their own treatments via online health applications. The data gathered from different resources can provide the best practices in the present. And can help the health care provider to keep an eye on the trends so that they can achieve triple aim.

So, now that you know the effects and importance of big data on the healthcare industry. You need to act fast for a better experience and effective work.

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Dharmik
dharmik.babariya@tecocraft.com
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