Hospital and healthcare providers can use big data to expand the scope of their projects and draw comparisons over larger populations of data. Because big data involves the use of automation and artificial intelligence, data can be processed in larger volumes and higher velocity to uncover valuable insights for Management.

Big data enables management to proactively identify issues with real-time access to the data so that decisions can be base more on hard evidence and facts, rather than emphasizing on guesswork and assumptions about customers, employees, and vendors. Applying analytics to big data creates many opportunities for healthcare businesses to gain greater insight, predict future outcomes and automate non-routine tasks.

Healthcare industries have gone through massive technology driven transformations over the past decade. This is a result of the significant advancement in digitized, disruptive, open sourced and pervasive healthcare information technologies and peripherals in application, that are continuously producing huge volumes of diversified data. In a recent literature review, Agrawal and Prabakaran1 suggested that big data are an integral part of “the next generation of technological developments” that reveal new insights from vast quantities of data being produced from various sectors, including health care. (Shah J Miah, Edwin Camilleria, and H. Quan Vub).

Healthcare requires a lot of analysis and less room for error, with big data and analytics procedure can be game changer. Healthcare busines requires to analyze, store, and continuously update patient’s data and these tasks cannot efficiently be achieved without the help of big data.

According to Pastorino, the use of big data in health care can provision the design of solutions that improve patient care and can generate value and new strategies to overcome dynamic challenges in healthcare organizations. This is attributed to big data in health care providing an opportunity to detect meaningful patterns, which in turn produce actionable knowledge for precision medicine and various healthcare decision-makers. (Shah J Miah, Edwin Camilleria, and H. Quan Vu)

Harmony Alliance stated that opportunities offered by big data “will only materialize when healthcare systems move beyond the mere collection of large amounts of data. Linkage of previously separated data sets and their analysis using appropriate big data analytics offer new ways to accelerate research and to identify the right treatment for individual patients. Access to large data sets that paint a more comprehensive picture of patients allows patient-relevant outcomes to be measured more accurately.”

Big data is becoming crucial in this time of Covid-19, where data need to be collected from different corner of the globe. Data are collected in a big amount and need to be processed in real time so the decision-makers can have enough information to work on. Today’s world is interconnected, and pandemic are coming quick and fast, therefor real time data from all over the globe need to be processed and analyze through different organization like OMS and CDC. Big data and analytical procedures made these tasks feasible by its vast capacity to store and process data in real time through the cloud system or other form of technologies.

Big data have introduced new opportunities during the digital revolution for enhancing healthcare service. The main issue which always arise in Healthcare business is the privacy and data security of patient, which is dictated by the HIPAA Act, which is the Privacy Rule, a Federal law, that gives you rights over your health information and sets rules and limits on who can look at and receive your health information. The Privacy Rule applies to all forms of individuals' protected health information, whether electronic, written, or oral. The Security Rule is a Federal law that requires security for health information in electronic form. ( https://www.hhs.gov/hipaa/for-individuals/guidance-materials-for-consumers/index.html).

In recent days, many companies where hacked and data bridge affected a lot of business. This can become problematic especially in healthcare business. Big data has so many advantages, however one of the disadvantages is the data security. Cloud computing is to place computing, storage, and other resources in the virtual network rather than the local servers, which enables users easily and quickly to access computing resources and storage resources that they need. Because the statistical analysis of data can find the correlation between different data, the law of disease occurrence in seemingly unrelated data, effectively realize the prevention of disease and help doctors make accurate diagnosis and treatment, the medical cloud has shown vigorous vitality (Xiaohan Hu)

To solve the trust problem generated by each node in the medical cloud system during the interaction process, a dynamic access control model based on trust evaluation was proposed. The model uses entropy weight method and fuzzy theory to fit the comprehensive interaction trust value of nodes, add the role-based two-way selection mechanism and third-party real-time monitoring mechanism for dynamic access control. Give the specific procedures and methods. Through simulation and comparison experiments with the classic Eigen-Trust model and RBAC, we can see that the model proposed has great advantages in dynamic controllability, time complexity and trust accuracy. ( Xiaohan Hu, Rong Jiang, Mingyue Shi and Jingwei Shang School of Information, Yunnan University of Finance and Economics).

Big data may be very effective especially in accounting for healthcare business. The accounting for healthcare business is complex due to many regulations and different insurance policies. Revenue recognition is complex due to contractual adjustments or high non collectable revenues.

With big data and analytical procedures, these tasks can be simplified and help to project a pretty accurate revenue forecast and adjust quickly to different changes in insurance policies.

Big data is a crucial player in today’s healthcare business. With the technology’s development and the interconnected world, we live in, health issues should be based on facts, real time data so we can be able to prevent future pandemics, or at least have enough information to be able to manage any outbreak in any place on the globe. This can only be achieved with the help of Big data and analytical procedures.

Reference

· Big Data in Healthcare Research: A survey study Shah J Miah a , Edwin Camilleria , and H. Quan Vub

· A privacy protection model for health care big data based on trust evaluation access control in cloud service environment Xiaohan Hu, Rong Jiang, Mingyue Shia,b,c and Jingwei Shang School of Information, Yunnan University of Finance and Economics, Kunming, China bKey Laboratory of Service Computing and Safety Management of Yunnan Provincial Universities, Kunming, China cKunming Key Laboratory of Information Economy & Information Management, Kunming, China

· Big Data in home healthcare: A new frontier in personalized medicine. Medical emergency services and prediction of hypertension risks

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