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Big Data Technologies Case Study

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How Is Healthcare Sector Leveraging Big Data Technologies?

The global population of human beings has been roughly estimated to have touched the figure of 7 billion by now. Also, the last two decades have seen a very high surge in the world getting digitally connected in an amazing way – thanks to the rapid penetration of computers, the Internet and finally the mobile phone internet access that has now brought even the remotest areas of third world nations and most advanced regions of developed nations on the same platform.
Together, these two facts give rise to a startling observation – the world is growing fast in human population with more complex and voluminous health challenges to be met with, and this human population is churning out …show more content…

While in other business sectors, Big Data Analytics is primarily helpful in boosting sales, revenues and profits; in healthcare industry the approach helps in a multitude of ways apart from realizing the usual business benefits. It might help healthcare enterprises in arriving at nearly accurate predictions of serious epidemics, assessing drug impacts in curing various diseases, enhancing the overall quality of life of the general public by precise estimations regarding their lifestyle based behavioral patterns, and remarkably cutting down the dead count imminent due to various reasons. Still, there are a few prominent manners in which Big Data Analytics may be of great use to the healthcare sector, which is as …show more content…

The first one among them is the size of data that is increasing in an exponential manner moment by moment. According to a research paper published by IDC in collaboration with Seagate, the entire world will be producing around 163 ZB (Zettabytes) of data every year, by the year 2025. Right now, this figure stands at around 16.3 ZB, while 1 ZB = 1 Trillion GB or Gigabytes. Not only this, the research paper also estimates that around 60% of this data will be created by enterprises, including healthcare organizations. This, for sure, offers an idea of how crucial is Big Data going to be for every sector, and healthcare to needs to brace itself to be able to leverage the best out of this huge data in near

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We must filter and customize that downloaded data for the health conditions that we primarily try to improve. Once data is customized and filtered properly, it gives us “care gaps”. Those care gaps can be easily closed out by accessing patient’s EMR or by referral. This updated data then gets uploaded back to the healthcare insurance company data set for reporting purpose. Data analytics helps health profession close the care gaps and improv care coordination between

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Data analysis consisting of data collection, data sharing and data analytics. In healthcare the data collection is done by electronic medical record (EMR), sharing the data between the workflow team done by health information exchange (HIE), finally collected and shared data is analyzed by enterprise data warehouse (EDW). HCO are vastly using analytics capacity to gain an accurate and deep understanding of information and operational improvement to meet the business new challenges. Analytic data provide more personalized healthcare, we can also find frauds and predict the patient behavior. In organization every level has its own kind of development, organizations like Intermountain healthcare ineffective at lower levels but from level 5 its start efficiency where analyst and data architects spend more time on marketing differentiating analytics.

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The second key point in the 2023 Global Healthcare Outlook is ‘Digital transformation’. The main point in this section is how healthcare relied a lot on technology when the pandemic struck. Covid-19 sped up the transition process to cloud-based technology meant to improve company processes and push more customer interactions online.

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However, in today’s contemporary society there are new frameworks to consider that challenge the traditional framework in many ways, but also contribute to the complexity of defining health. One such framework is the socio-medical model of health. This model takes many factors in account when discussing ones health, and accepts that disease can be multi-causal. I mentioned earlier that people are taking responsibility for their own health, and although this remains true, some factors which may contribute to disease are out of our control- for example certain toxins that we may be exposed to in our environment, Chernobyl being an example of a catastrophic nuclear disaster impacting on the health of people in the surrounding area for generations. Socio-economic factors also have an enormous effect on a person’s

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The health crisis is not something small and must be treated with the utmost care of the people of

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Technology, Multitaskers, and Questionable Skills Throughout the last couple of decades, technology has progressed taking us further into a more developed and informative world. The internet has played a major role in this progression and altered the way in which we communicate and interact. Some may ask, “where would we be without technology and the internet?” or “I need my phone, where’s my phone?”

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These professionals will also have access to an incredible amount of data that they can search through to better understand the changes taking place in the industry and their impact on the quality of the healthcare services they provide. Remote access to medical records Imagine you are in Switzerland on vacation and the skin condition you’ve been dealing with for some time begins to trouble you. Incorporating the blockchain will make it possible for you to walk into any hospital in Switzerland and be treated in line with your past medical history.

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Population Health Management means proactive application of strategies and interventions to defined cohorts of individuals across the continuum of healthcare delivery in an effort to maintain and/or improve the health of the individuals within the cohort at the lowest necessary cost. With the new era of healthcare, a good population management system in place is critical to a health system. Organizations will grow to become dependent on data and analayis in order to carry out actions or what not within the said system. Furthermore, with the advent of information technology and a well-designed population health tools, it can create substantial impact to the patient through electronic medical records and healthcare information exhancge,;

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Chronic illness is pandemic. Our lifestyle choices are destroying

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Amazon is purely an online sales portal. Based on premium web rating organizations Amazon has a position ranging from 4 to 10 on a global ranking of premium websites. The presence of Amazon in the virtual world of internet is unquestionable. Big Data is a technology area which is highly talked about during the last several years. During the last 18 months, companies in the retail sector, manufacturing, construction, and technology areas have realized the extreme potential of Big Data and are trying to gain maximum advantage from it.

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Big Data refers to the massive amounts of structured and unstructured data that is collected over time from various internal as well as external sources. Enterprises are facing challenges in integrating these new and different types of data and also turning this data into meaningful information. The data is growing at a tremendous rate due to increase in connectedness of machines and people. Analyzing this data to extract sensible and meaningful insights is a big challenging task; integrating and optimizing this data, storing, organizing and analyzing is a challenge. The Big Data must be captured, stored, organized and analyzed to influence the decision making in any enterprise or business

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A technological revolution as groundbreaking as the internet is predicted to overtake and revolutionize business as it is known today. This digital platform, prospering in its infancy, is Blockchain Technologies. Though currently the company exists only its inceptional stages, it is already being predicted by economists to alter business with the magnitude internet has revolutionized communication. With each coming year, an increasing amount of global industries are working to integrate Blockchain technology in order to modernize and simplify the underlying issues occuring in the industry. Industries are beginning to adopt Blockchain Technologies because it simplifies direct transactions, increases security, and provides transparency.

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As big data things continue to grow in this modern era, today we can learn how to predict or assume anything that will happen in the future with data from the past. This studies known as Predictive Analytics. Predictive analytics combine methods from machine learning, data mining and statistics to find meaning or pattern from a huge volume of data. Tom H Davenport, a senior advisor at Deloitte Analytics has broken down three primer models on doing predictive analytics: the data, statistics, and assumptions.

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Development and implementation of new information technologies that allow global networking, give modern medicine the epithet of “informatical medicine”. Information technologies increasingly provide the help in system approach of solving medical problems [16]. Disposition of the right information enables the preparation of accurate reports, for example, usage of hospital capacities, or number of occupied beds. At the same time it is easier to monitor treatment and to check the information exchange. Use of information technologies enables change of the healthcare system - how to improve public health, the healthcare of the system users, reduce costs, save time and

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Tracking consumers’ habits in many different aspects of their life has allowed them to gear specific products in a specific manner. The Big Data I speak of is basically new. It is the data being created by all the electronic medical records the medical industry has begun to utilize over the past few years. With the mandate from Congress every hospital in the country had to install software to utilize as electronic health

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