BIG DATA AND HEALTHCARE ANALYTICS

 

BIG DATA AND HEALTHCARE ANALYTICS

Introduction

The last decade has witnessed major advances in the amount of data that is regularly generated and collected in almost everything including the human ability to understand, analyze, and use technology. These trends have together resulted in the emergence of the ‘Big Data’ field.

And in the short time since its inception, Big Data has taken the world by a veritable storm, touching every sector from healthcare to marketing in myriad different ways, improving productivity, contributing to process efficiency, and helping create an environment where innovations thrive and flourish.

Big Data In Healthcare

At first glance, it may not seem as though the worlds of Big Data and healthcare could have anything in common or would go well together.

Nothing could be farther from the truth.

More than contributing to an increase in profits and the cutting down of wasteful overheads, Big Data has found widespread application within the Healthcare industry to predict epidemics, cure disease, improve the quality of life, and avoid preventable deaths. As the world’s population continues to burgeon, the quality of life has improved manifold, and as people live longer, the medical and healthcare sectors have had to transform and adapt quickly to cope with newer models of treatment delivery and transmission.

The decisions that are made due to these changes are driven by data. The focus now lies solely on understanding the patient thoroughly, as early in their life as possible, and hopefully picking up any signs of a serious illness early, making treatment simpler.

As technology strengthens its hold on the healthcare sector, the kinds of data sources and volumes that are available for research and analysis have begun to grow at the same pace. Big Data solutions seek to harness these massive, complex buckets of data to obtain more focused knowledge and insights into the world of healthcare. Big Data attempts to make more sense of this information overload and provide better insights from the expanding volumes and sources of data.

The objective it stands by now is to answer profitability, operational, and clinical questions in real time. Experts say that big data empowers scientists, caregivers, and management to make informed decisions, empowering them with the capability to save lives, decrease costs, and improve the efficiency of operations. Big Data also possesses the capability to revolutionize laborious tasks, such as how healthcare professionals gather, store, and transmit patients’ information.

The 3 Promises of Big Data in Healthcare

Big Data can be explained in the healthcare industry by reviewing its basic qualities, commonly called the 3 Vs; Velocity, Volume, and variety.

Volume refers to the rapid rate of data growth in the healthcare sector. In 2020, it is estimated there will be more than 44 times more data than there was in 2009. Big data software and techniques work to manage these large chunks of data and turn them into valuable information.

Velocity represents the frequency at which data is being transmitted and shared. Technologies such as monitoring and sensing devices, social media, and embedded chips – today added in almost every device from airplanes, and refrigerators to bodily implants – all contribute to the expanding mounds of available data. And in the healthcare sector, the velocity of data-sharing continues to rise by the day.

Variety represents the numerous forms in which data exists today. In healthcare, this includes unstructured data in text format, streams of data from monitoring and sensing gadgets, test or email messages, scanned documents, video or audio, and procedures that add to the variety of unstructured healthcare data.

The Key Elements

Here are three key elements that are necessary for the healthcare sector to leverage the power of Big Data effectively:

1.     Integrating Data

2.     Generating New Knowledge

3.     Transforming Knowledge Into Practice

How Does Big Data Help Simplify Tasks in Healthcare?

Big Data has immense potential to simplify laborious tasks in healthcare settings. The techniques and solutions of Big Data can be used by organizations to engage patients, personalize care, reduce costs and variability, and improve the quality of services.

Once Big Data is well managed and integrated, healthcare facilities will be able to apply analytics and gain insights into the operational status of their business, and current trends, and predict what might happen in the future with a trusted level of reliability.

Big Data revolutionizes the following laborious tasks in healthcare:

1.     It allows providers to give patients very specific, customized care and follow best practices in the palliative healthcare industry

2.     Payers Leverage Data Pool

3.     Research Enabled With Unprecedented Reach

Conclusion

With the bright future of big data in healthcare, it plays a crucial role in improving patient outcomes and reducing healthcare costs. By collecting, managing, and analyzing vast amounts of data, healthcare organizations can identify patterns, trends, and insights that can inform decision-making. However, big data in the industry also poses challenges and limitations that must be addressed. These include ethical considerations surrounding the use of big data, such as protecting patient privacy, and technical limitations, such as the complexity of analyzing vast amounts of data. To combat these challenges and limitations and protect patient privacy, healthcare organizations must invest in robust data governance policies, data transparency, and necessary infrastructure and expertise. By doing so, they can maximize the value of big data in healthcare and deliver more effective and efficient patient care.

 

Reference

1.     https://www.simplilearn.com/big-data-in-healthcare-sector-rar359-article

2.     https://www.analyticsvidhya.com/blog/2023/01/the-impact-of-big-data-on-healthcare-decision-making/

Hitansh Lakkad

Business Analytics intern at Hunnarvi Technologies Pvt Ltd in collaboration with nanobi analytics.

VIEWS ARE PERSONAL

#bigdata #healthcare #datascience #businessanalytics #hunnarvi #nanobi #isme

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