Big Data In Health Care

In the field of public health the concept of bid data is defined as utilizing large scale information from different sources to understand the outcome of an outbreak or disease. According to Khoury and Ioannidis (2014), the use of big data can help understand problems at a faster rate. For instance, epidemiologist are always working hard to identify which populations are more at risk and use credible internet sources and systematic reviews for information. As opposed to the earlier times of John Snow who took a longer time to understand the reasoning for the outbreak in London, big data is able to shortened the time and help reduce the prevalence of disease. Hence, improve the health outcomes of populations (Khoury and Ioannidis, 2014). A major priority in the field of public health is to based prevention programs based on evidence based research that possess statistically significant in the

Big data analytics is currently playing a key role in transforming the health care industry. Keep reading to learn how big data is reduce health care costs and improving the patient health care experience.

Srinivasan and Arunasalam (2103) said that health care sector mostly deals with extremely large amounts of health data related to patients. This structured or unstructured data which is obtained from various sources with different velocities is known as big data. By combining, organizing and processing this data using an architectural framework, big data analytics is possible. This paper describes the potential of this big data analytics in health care. It discusses the outlines and benefits of using an architectural framework to analyze big data in health care and explains how it can improve the efficiency of health care. It also briefly discusses

Big data plays a vital role in healthcare organizations which helps to predict the disease of the patient. As the world’s population is increasing and the models of treatment delivery are changing rapidly, the datasets of the patient also keeps on increasing. In order to maintain these large number of patient’s medical records, big data helps to maintain these records which reduces the cost. The specific information is extracted from the data rich environment and produce the information about the history of the disease and how it can be cured. It is done by using the decision support system implementation for health care with the use of software that aids in the process of decision-making in order to ensure the correct diagnosis of any illness

Healthcare contain huge amount of data which becomes essential for performance and planning.For every organization data is important for gaining the knowledge,annotation,research.So for healthcare big data is one of the solution for potential impact.A programming model Map Reduce processes the data and with help of this we can analyze unstructured data into structured data. The Map-Reduce based approach is used for data cube materialization and mining over massive datasets.

Big Data is the act of compiling large sets of data based on a single individual or groups. Everyone encounters data in their daily life--you are experiencing it when you log onto a social media account, when you stream entertainment online, or even when you are online shopping. When you do any of these things you are leaving behind a digital trace that can be accessed by just about anyone. In “Six Provocations for Big Data,” danah boyd and Kate Crawford raise questions regarding the nature of Big Data. What is considered public information? What is the ethical way to go about retrieving data from online sources? Is Big Data more harmful or helpful? How often do you encounter Big Data, or data in general? What is the relationship between data

One of the new catchwords in healthcare is “Big Data”. Big Data is commonly defined by the three V’s, volume, velocity, and variety of data (Adamson, n.d., para. 4). I believe Big Data will live up to the hype surrounding it in healthcare. Even though it may take a while for healthcare to understand it and harness what it can do. Cultivating copious amounts of health data from a variety of sources has immense potential for everyone including the patient, healthcare organizations, and research.

The American Bar Association (ABA) states that Big Data is the next revolution for health care operations. Health care costs are rising among both insurers, organizations, consumers and the government. Everyone wants to increase speed and efficiency without sacrificing quality of care. Health care organizations are now using Big Data, analytical tools and business intelligence to identify opportunities to reduce costs, boost efficiency and increase quality.

The world of healthcare is going through a transformation in the IT world. The capture of “Big Data” has only begun. Applications are being introduced that help individuals make sense of this raw data, which is proving to be very beneficial in the healthcare world. Although in its infancy, the advancements we see in this research paves the way for a very promising future in healthcare. The use of Big Data proves to show how raw data can be turned into very useful knowledge and therefore improve health-related outcomes as well as control costs. The opportunities associated with “Big Data” are only being accelerated and the use of this data will serve as a catalyst for increasing patient knowledge.

Business thrive when they have the most accurate, up-to-date, and relevant information at their disposal. This information can be used for a plethora of pertinent markers in small and large businesses, relating to accounting, investments, consumer activity, and much more. Big data is a term used to describe the extremely large amounts of data that floods a business every day. For decades, big data has been a growing field, facing controversy on many levels, but as of late, it has been a major innovator in the challenge of making businesses more sustainable. Big data is often scrutinized for its over-generalization and inability to display meaningful results at times. When applied correctly, data analysis can bring earth-altering information to the table.

Big data is the new and still relatively misunderstood phenomenon in which companies are you using vast amounts of collected data to reveal patterns and certain trends within their collected data. Though big data is being used in a variety of different fields from retail to governmental uses, it is becoming most prominent within the healthcare field. Everyday thousands of people are admitted into hospitals and seen at various emergency clinics around the world. What if all this data from each individual seen at these clinics and hospital could be accumulated and a detailed report given to see signs of new diseases or new trends of medications effects? This is where big data is becoming such an integral part within the healthcare field.

Big Data can analyze a customer’s purchases, profile information, and make an accurate prediction on what his/her interests will be. Big Data has the potential to be the phenomenal tool of the future. It can accurately predict what a customer wants and show advertisements that he or she is actually interested in; It can be installed in smart cars, where an automatic distress call is sent when an unlucky individual is in a car accident; It can be uploaded to devices that closely monitor people’s health and report any irregularities to their doctor.4

Big Data. What is big data? As it becomes a more relevant part of the business world, this report covers how to use it, what its benefits are, and what fields it works well in.

Now that we have figured out how to harvest the free and ubiquitous big data, the next huge challenge is to figure out how to analyze and display the information in a useful and meaningful way. The big question today is how you present big data in a way that human beings can quickly understand and make decision. Most big corporations and government entities are drowning in a pool of their own data, because they lack the corresponding manpower to understand the data and extract meaningful knowledge out of it (Bizer, Boncz, Brodie, & Erling, 2012).

When major business, industry, government agencies are adopting Big Data to their daily operation, increasing security measures need to be implemented to avoid data breach and loss. Big Data breaches will likely to cause more damage than other cyber breaches, with the potential for more serious reputational destruction and legal repercussion than at present. User information and financial loss will not only cause more insurance claims, but the loss of business losing customers.