Healthcare Industry Improvement with Business Intelligence

Abstract

The current paper highlights the advantages of big data analytics and business intelligence the healthcare industry. In the paper are reviewed the Real-Time Healthcare Analytics Solutions for Preventative Medicine provided by SAP and the different ideas realized by possible customers for new applications Healthcare industry order to demonstrate that the healthcare system can and should benefit from the new opportunities provided by ITC general and big data analytics particular.Keywords: Business Intelligence, Healthcare Analytics, Use-Cases, Real-Time Processing1 IntroductionThe concepts used and presented this paper are Big Data, which is a challenge nowadays, In-Memory, which is a new Business Intelligence technology and Analytics, which is a use case [1] [2]. Nowadays, it is very important to present the role of Business Intelligence technology the healthcare sector.Global data production is expected to increase at an astonishing 4,300 per cent by 2020 from 2.52 zettabytes 2010 to 73.5 zettabytes 2020 [3]. Big data refers to the vast amount of data that is now being generated and captured a variety of formats and from a number of disparate sources. Big data analytics is the intersection of two technical entities that have come together. First, there's big data for massive amounts of detailed information. Second, there's advanced analytics, which can include predictive analytics, data mining, statistics, artificial intelligence, natural language processing, and so on. Put them together and you get big data analytics.In [4], Prof. dr. med. Karl Max Einhaupl considered that in a hospital like Charite it's an unending stream of data every day. We see an unending stream of data every day and it is unconditional important that we collect this data, filter, control it and reuse it for patient care, or for teaching, or for driving research. In the medical field, it is critical that we move away from the flood of paper that is overwhelming doctors today; that we continually move toward electronic data capture. This means that if you have the right information at the right time then everything it's possible.The current paper is an extended version of the work presented at the 14th International Conference on Informatics Economy, IE 2015, 30 April - 03 May 2015, Bucharest, Romania [5].2 Healthcare AnalyticsWhen discussing about healthcare analytics, it is important to ask how are the statistics numbers regarding the usage of analytics healthcare and how this affects the end user's knowledge? In the Figure 1 below these numbers are represented, 10% are those who use analytics today and approximately 75% need analytics [6]. The disadvantage of those who are not using analytics feature is that they can't make use of all data because the ability to manage all data is getting difficult. On the other side, those who use analytics today are missing new insights, which mean they are not able to imagine the potential.The power of collective insights is realized by following three steps:* Engage: predict demand and supply of Supply Chain;* Visualize: understand the customer's thoughts;* Predict: provide the proper offers and services to every customer; also predict new market trends and innovate new products [7].Healthcare organizational data it is used diverse cases like surgical analytics, share healthcare visualizations and have the clinicians share the processes. Profitability and quality analysis for management can provide the critical insights to obtain the organizations goals and gain competitive advantages. Analytical applications are developed to provide the base for the use of analytics an enterprise [8].We must consider that analytics is about people and their needs. We can see the Figure 2 why is this evolution so important and how the people's thinking are.The focus is on the empathy of the end user like executives, healthcare operations, clinician, purchaser and clinical researcher. …