Data Analytics Applications in Healthcare, Hospitality, Marketing, and Security

Introduction

The healthcare organization produces an outsized amount of knowledge, including medical records, compliance with regulatory requirements, and patient information. Most of these records were stored in a hard copy file system, but the current trend targets on digital data. (Raghupathi et al., 2014). Driven by the need for resources and the ability to better the quality of medical care that currently reduces costs, these big data (also known ‘big data’) holds the promise to support a large range of health and medical services, including alternative disease monitoring, treatment support, and human’s management of health.

As the world keeps on evolving and changing it has become very significant for the large amounts to data that is generated every day to be digitalized one way or another and this need is especially needed in the healthcare department. During the pandemic or COVID times, the need for advanced development in the sectors of medical facilities is required because the places where these facilities aren’t available and most of the things aren’t digitalized have suffered the most. Let’s take a small survey to see how technology can be a very dominating factor other than top-notch management that gave certain countries an edge over the others during pandemic times. The countries that is discussed here are places such as New Zealand, Singapore and Germany. Even though these countries didn’t have the best healthcare system as stated in the World Index of Healthcare Innovation, where Germany, New Zealand, and Singapore are given 17, 19, and 27 ranks respectively, they still managed to survive the corona outbreak. So, the question is, what were the rights decisions and approaches that they all had in common?

All these countries used analytical methods to more effectively allocate the hospital resources that included the beds, hospital staff, medicines etc. to reduce the mortality rates in the areas hardest hit by the virus. They collected various data regarding the virus and the reach of its spread and thus established certain perimeter zones for those areas so that they could be handled with intensive care. (Asante-Korang et al., 2016). Their research workers worked every single day to track the progress of the spread of disease and also its impact on the general population, telling how the patient reacted to a certain type of treatment and check the severity of a particular strain on the patients. They established a proper network among various hospitals across the country and the digitalization of patient records eased their entire process. Other than the patient data and the hospital data, the government was also generating data on the places where new facilities could be constructed such as research centres or new hospitals and allocating people for those tasks by giving priority to places that were affected the most by the coronavirus. Thus, the importance of digitalizing hospital records and the requirement for analytics of data in the healthcare department depending on the present pandemic situation are realised.

This chapter focusses on how Data Analytics has helped other industries such as Artificial intelligence, Military research, and the cryptographic markets. Starting with Artificial Intelligence, one can see the immense development in this sector, mainly by making efficient machine learning algorithms, comprising of basic and advance statistical mathematics, which gives us efficient and real time results to train the machine to react to a set of instructions and scenarios in the most human yet robotic method possible. Now-a-days, there are Google assistant, Siri, Cortana from Microsoft, and Alexa from Amazon etc., as our personal assistants, that have stored tones of data relevant to the people based on their demographic location, such that they can talk to you in your own native language. These assistants can be used for almost any day to day purpose, be it setting a reminder, keeping our birthday events aligned or keeping certain information safe with them. It is been known to have an Intelligence Quotient of 6 which may be very less in comparison to human beings, but still a very decent improvement for Artificial Intelligence. In a certain test done to compare these three competitors, Google Assistant, Siri and Alexa, they were asked a set of 800 questions, where Google won the race by answering all the corrections correctly.