Big Data Is An Integral Part Within The Healthcare Field

Researcher believe that the availability of big data will be of great impact especially in the medical field. They believe that when medical records are easily available to Doctors, doctors will be able to provide immediate diagnosis and medical treatment to their patients. Using this data is a great benefit to Doctors because they can look up prior successful treatment from other patients to help treat new patient. The challenge Doctors may encounter with so much information is that they may become overwhelmed and incorrectly delays treatment or not provide treatment to their patients. Also, the searchable information can be misleading or misunderstood by the medical provider and he or she based on the searchable information can incorrectly providing the same treatment to all the patient with the same

Also, ‘big data’ analytics and aggregated patient data may be able to alert providers to larger health trends such as potential outbreaks and which flu strains are prominent during each flu season.

One of the foremost concerns faced by hospital and healthcare set ups today, is that of the increasing discrepancy between the amount of data created and the data that is actually understood and consumed. According to a survey carried out by Frost & Sullivan, nearly 1 billion terabytes (and counting), of data is held by hospitals and medical centers. This data is estimated to grow more than 40 times over the decade. The need for Data intelligence is no longer a stand by thought. Organizations are facing a growing pressure to become more efficient in the way they store, utilize and share medical/healthcare data.

Electronic Medical Record (EMR) and Electronic Health Record (EHR) have revolutionized how healthcare is practiced in the past several years. HITECH Act of 2009 began to incentivize health care providers for using EHRs, to promote higher-quality and more efficient care. As the transition to electronic information occurs, the need for big data analysis and security have increased significantly in healthcare. EHRs implementation will aid researchers to utilize health data more efficiently as most of information will be easily accessible compared to traditional health record system. This allows researchers to spend less time collecting data and analyzing data much easier.1

DON’s consistently monitor clinical data and manage budgetary resources. The use of big data technologies can help nurses and other healthcare providers improve care quality, optimize outcomes, and reduce the cost of healthcare (Sensmeier, p.22). Health informatics is the wave of the future; this article focused on many positive aspects, but there are always areas of concern, like portability and security. Ultimately, the benefits outweigh the concerns, all software and web-based vendors are not equal in quality and they often require contract commitments. There is no set standard and the company must provide the necessary features to meet your corporation’s requirement, so research and trial periods are essential. Moreover, as we move forward with medical interventions, hopefully, there will be a multidisciplinary development team aiming to initiate changes in new technology and standardized guidelines for vendors to

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.

Big data is an interesting concept, in which people use data to analyze trends, patterns, and associations and make use of these revelations to predict outcomes. You are using data every day that is being recorded to identify people’s desires and requests, and more specifically your desires and requests. Big data is used in retail, government, healthcare, car companies, and education, basically everywhere. Big data can allow for great advancements and prevention in all aspects of life, more specifically in healthcare. Big data is important to healthcare, because it can allow professionals to identify who has a greater risk of a disease and thus allows early detection and prevention. It allows tracking which medicine is more effective than the other. It allows for healthcare providers to have better records and accuracy in each and every patient. Big data is important to healthcare and here is why.

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 healthcare sector has seen some remarkable transformation from the once chaotic, expensive and substandard services and this was achieved by analytics of big data, it has change the following areas in the health sector

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.

As we know, for delivering good qualitative service in healthcare industry, data plays an important role. So it’s necessary to understand the fact that the big data must be used in a right way to make health service industries successful. For managing and analysing the big data it’s important to have a good knowledge about the healthcare data complexity, framework, technologies for “big data analytics in healthcare industries”.

In April 2011 the biggest multinational retailer company in the US made clear that Big Data will become a part of Wal-Mart DNA. They purchased Kosmix, a social media start-up focused on e-commerce. They developed a software application which had the ability to search and analyse social media applications (like Twitter or Facebook) in real-time in order to provide personalized insights to users. Now Wal-Mart is Big Data knowledge-empire. An important tool in achieving that has become the Neo4j database.

The healthcare industry historically has generated large amounts of data, driven by record keeping, compliance & regulatory requirements, and patient care. Whilemost data is stored in hard copy form, the current trend istoward rapid digitization of these large amounts of data.Driven by mandatory requirements and the potential to improve the quality of healthcare delivery meanwhile reducingthe costs, these massive quantities of data (known as ‘big data’) hold the promise of supporting a wide rangeof medical and healthcare functions, including amongothers clinical decision support, disease surveillance and population health management Reports say data from the U.S. healthcare system alone reached, in 2011, 150 exabytes. At this rate of

The analysis of big data is widely used in insurance, medicine for disease prediction and improved health outcomes, industry for sales prediction and customer relationship optimization and transport \cite{oreilly, kinsey}.

In this part I have selected to discuss about the use of big data in public health by Government of India, as I have worked there. In recent years there is a rapid expansion in generation and use of data. Although in health sector there has been an increase in production of data, but little use of data have seen to improve health care. Mostly all of the data at individual level like medical history, doctor’s prescription, pathology reports, diagnostic images etc. and some data at community level like hospital admission statistic, vital statistics etc. goes waste and are not used for further analysis and reference.