Benefits of Big Data in Health Care: A Revolution

A foremost research challenge in today's world is data management and decision making. A massive amount of both unstructured and structured data is created every day so managing data has become an essential task. Health Care is one of the major areas where data has been generated tremendously and decision making based on the data has become very crucial. The need for data management and decision making in Health Care has directed the extension of 'Data Mining' to 'Big Data'. Big Data is an advancement of Data Mining, which can be termed as tremendously huge sets of data that may be examined computationally to reveal patterns, trends and associations. Big Data mainly deals with storage and processing of large sets of data. In this paper a survey on Big Data in Health Care has been made which gives us an overview on tools, techniques and algorithms in Big Data used for data management and decision making in Health Care.

American Medical Journal, 2015

Big Data can unify all patient related data to get a 360-degree view of the patient to analyze and predict outcomes. It can improve clinical practices, new drug development and health care financing process. It offers a lot of benefits such as early disease detection, fraud detection and better healthcare quality and efficiency. This paper introduces the Big Data concept and characteristics, health care data and some major issues of Big Data. These issues include Big Data benefits, its applications and opportunities in medical areas and health care. Methods and technology progress about Big Data are presented in this study. Big Data challenges in medical applications and health care are also discussed.

Big Data is utilized to allude to immense volumes of information, more changed and complex structure with the difficulties of saving, inspecting and conceptualize for additional procedures or results. Big Data gives numerous advantages, for example, early malady identification, misrepresentation location, and better healthcare and effectiveness. It creates a gigantic measure of information that has colossal volume, huge speed, and huge assortment. It additionally assumes an imperative part in organizations in the way that saving and recovering a lot of information. Therefore, Big Data is a vital innovation pattern, and it has the potential for drastically changing the way associations utilize the data to upgrade the customer skills and change their plans of action.

Journal of Big Data

Information has been the key to a better organization and new developments. The more information we have, the more optimally we can organize ourselves to deliver the best outcomes. That is why data collection is an important part for every organization. We can also use this data for the prediction of current trends of certain parameters and future events. As we are becoming more and more aware of this, we have started producing and collecting more data about almost everything by introducing technological developments in this direction. Today, we are facing a situation wherein we are flooded with tons of data from every aspect of our life such as social activities, science, work, health, etc. In a way, we can compare the present situation to a data deluge. The technological advances have helped us in generating more and more data, even to a level Abstract 'Big data' is massive amounts of information that can work wonders. It has become a topic of special interest for the past two decades because of a great potential that is hidden in it. Various public and private sector industries generate, store, and analyze big data with an aim to improve the services they provide. In the healthcare industry, various sources for big data include hospital records, medical records of patients, results of medical examinations, and devices that are a part of internet of things. Biomedical research also generates a significant portion of big data relevant to public healthcare. This data requires proper management and analysis in order to derive meaningful information. Otherwise, seeking solution by analyzing big data quickly becomes comparable to finding a needle in the haystack. There are various challenges associated with each step of handling big data which can only be surpassed by using high-end computing solutions for big data analysis. That is why, to provide relevant solutions for improving public health, healthcare providers are required to be fully equipped with appropriate infrastructure to systematically generate and analyze big data. An efficient management, analysis, and interpretation of big data can change the game by opening new avenues for modern healthcare. That is exactly why various industries, including the healthcare industry, are taking vigorous steps to convert this potential into better services and financial advantages. With a strong integration of biomedical and healthcare data, modern healthcare organizations can possibly revolutionize the medical therapies and personalized medicine.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2022

The healthcare industry has been using data and technology driven innovation for a long time now with Evidence Based Medicine (EBM) being at the helm. Effectively using technology is vital towards successful data management in healthcare. A convenient approach that can collect, store, evaluate, and analyze health data will be beneficial to all the stakeholders in the healthcare delivery chain. With the advancement, clubbed with the availability and affordability of technology, it has become an effective tool for providing the right- care backed with accurate, consolidated evidence. Such approach not only helps in improving the quality of care, it also helps in early detection of diseases and effective treatment, Big Data is providing the necessary data management tools for the same. A simple Extract-Transform-Load (ETL) procedure using Hadoop can be used. As Big data analyses large amounts of data to uncover hidden patterns, correlations and other insights, its role in making the ri...

2020

Background & Aim: Today, with the advent of technology, due to the growing data in the field of health care, it is difficult to manage and analyze this type of data known as the Big Data. This analysis has many capabilities to improve the quality of care, reduce errors and reduce costs in care services. Methods: This study is based on search of databases (PubMed, Google Scholar, Science Direct, and Scopus). This investigation has done with the websites and the specialized books with standard key words. After a careful study, 50 sources were in the final article. Results: Since the Big Data Analysis in the field of health has been growing and also considered in recent years, this survey identified the necessity of these analyses, the definition of the Big Data, the benefits, resources, architecture, applications, analysis, platforms, Examples and challenges in the field of health care. Conclusions: Familiarity with the big data concepts in the field of healthcare can help researchers...

2017

In this world more number facing the problem of blast data and size of data base used in industry has been growing more rates. Many sources are generating data through web media, social media data, sensor data, connected devices (Smart phone) and click stream data. More amount of data analyzing, processing as well as extracting information is big challenging task. Big data is a set of huge amount data such data can't be processed or analyze by using conventional computing technique. Difficulties are included like transfer, storage data, analytics, search, support huge amount of data to database and sharing. Health care needs to be updated with new period of big data this added health care data analysed. Existing database system like Oracle, MySQL, Postgre SQL and RDBMS are used. If you want large dataset size, read/write concurrency or both you will find that the services of an RDBMS come at a vast performance sentence and make division naturally complex. To deal with bulk /larg...

Journal of Smart Environments and Green Computing, 2022

Big data have been in use since the 1990s, which usually include some complex data sets whose sizes are beyond the ability of commonly used software to handle within a reasonable period of time. In recent years, big data analytics by providing personalized medicine and regulation analysis, providing clinical risk intervention and forecast analysis, reducing waste and nursing patients with external and internal variability, standardization of medical terminology and patient registration, and fragmentation of the solution, help to improve health care. This paper provides an overview of the contents of big data healthcare. We summarize some kinds of medical big data, including the electronic health records, the medical image data, the healthcare system big data, the health Internet of Things and healthcare informatics, the remote medical monitoring big data, the biomedical big data, and other sources of big data. Furthermore, we discuss some methods for handling different kinds of medi...

Management:Journal of Sustainable Business and Management Solutions in Emerging Economies, 2019

The introduction of the Big Data concept in the healthcare sector points to a major challenge and potential. Motivation: Our goal is to indicate the importance of analyzing and processing large amounts of data that go beyond the typical ways of storing and processing information. Тhе data have their own characteristics: volume, velocity and variety. There are different structures. Analysis of these data is possible with the Big Data concept. Its importance is most evident in the health sector, because the preservation of the health status of the population depends on adequate data analysis. Idea: The idea of the paper is that big health data analytics contributes to a better quality provision of health services. The process is more efficient and effective. Data: Health analytics suggests that more and more resources are being utilized globally. In order to achieve improvements, health analytics and Big data concepts play a vital role in overcoming the obstacles, working more efficiently and aiming at providing adequate medical care. Tools: The Big data concept will help identify patients with developed chronic diseases. Big data can identify outbreaks of flu or other epidemics in real time. In this way, they are managed by the healthcare system, reducing overall healthcare costs over time, and increasing revenues. Findings: A key policy challenge is to improve the outcomes of the healthcare system, data collection and analysis, security, storage and transfers. Big data are the potential to improve quality of care, improve predictions of diseases, improve the treatment methods, reduce costs. Contribution: This paper points to the challenges and potentials of Big Health Data analytics and formulates good reasons to apply the Big Data concept in healthcare.

International Research Journal on Advanced Science Hub, 2021

Basically, Big Data means large volumes of data that can be used to solve problems. It has piqued people's attention over the past two decades because of the enormous potential it holds. Big data is generated, stored, and analyzed by a variety of public and private sector industries in order to enhance the services they provide. Hospital reports, patient medical records, medical test outcomes, and internet of things applications are all examples of big data outlets in the healthcare industry. Biomedical research often produces a large amount of big data that is pertinent to public health. To extract useful information from this data, it must be properly managed and analyzed. Otherwise, finding solutions by analyzing big data quickly becomes impossible. The ability to identify trends and transform large amounts of data into actionable information for precision , medicine and decision makers is at the heart of Big Data's potential in healthcare. In a variety of areas, the use of Big Data in healthcare is now offering solutions for optimizing patient care and creating value in healthcare organizations. In this paper, some big data solutions are provided for healthcare. Big Data Analytics strategies to mitigate covid-19 health disparities are provided. Finally we analyse some of the challenges with big data in healthcare.