Some Examples of Big Data in Healthcare Question and Answer 2022

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Table of Contents
1. Introduction.......................................................................................................... 4
2. Summary.............................................................................................................. 4
3. Evaluation and Analysis....................................................................................... 5
3.1. What is Big Data in Healthcare?.......................................................................5
3.2. Some Examples of Big Data in Healthcare.......................................................5
3.2.1. Electronic Health Records (EHRs)...............................................................6
3.2.2. Integrating Big Data with Medical Imaging................................................6
3.2.3. Predictive Analytics in Healthcare..............................................................6
3.3. Challenges of Big Data in Healthcare...............................................................6
3.3.1. Volume....................................................................................................... 7
3.3.2. Variety........................................................................................................ 7
3.3.3. Velocity...................................................................................................... 8
3.3.4. Veracity...................................................................................................... 8
3.4. Key Issues of Big Data in Healthcare................................................................8
3.4.1. Data Capture.............................................................................................. 8
3.4.2. Cleaning Data............................................................................................. 8
3.4.3. Data Storage.............................................................................................. 8
3.4.4. Data Security............................................................................................. 9
3.4.5. Updating Data............................................................................................ 9
3.5. Purpose and Benefits of adopting Big Data in Healthcare................................9
3.5.1. Advanced patient care:.............................................................................. 9
3.5.2. Improve operational efficiency:..................................................................9
3.5.3. Finding a cure for diseases:.....................................................................10
3.5.4. Detecting fraud:....................................................................................... 10
3.5.5. Estimating optimal reimbursement:.........................................................10
3.6. Technical Solutions of Big Data in Healthcare................................................10
3.6.1. Hadoop: HDFS & MapReduce...................................................................10
3.6.2. Artificial Intelligence: Machine Learning...................................................11
3.6.3. SaaS: Software as a Service.....................................................................12
3.6.4. Microsoft Azure........................................................................................ 12
3.7. The Future of Big Data in Healthcare.............................................................13
4. Conclusion.......................................................................................................... 13
References............................................................................................................... 15

1. Introduction
When technological innovations became advanced enough to manage, store and
use enormous volume of data, the arena of health informatics also emerged to
another level. There were prior investigations in the dentistry sector, the health
informatics started standardizing itself as a field of experimentation only after
1960’s.
Data played a significant role in making new developments and enhancing
organizational processes. The more data we have, the more ideally we can sort out
ourselves to convey the best results. Hence, every association reaslised the
importance behind accumulating data on a regular basis. We can thereby utilize this
information for foreseeing the current patterns of specific factors and events that
might occur in the near future.
The advancement in technology have helped in creating an ever increasing number
of information, that too even at a level where it has gotten unmanageable by the
technical innovations that are existing and available. This has led to the emergence
of the terminology ‘Big Data', used to depict information that is huge and cannot be
managed easily (Dash, Shakyawa, Mohit, and Kaushik, 2019).
The term ‘Big Data’ demonstrates the accumulation of facts and data (both
organized and unorganized) whose size is immense and is developing at a speedy
rate with time. Innovation of ‘Big Data’ is categorized as an utilization of software,
which is intended to scrutinize the data, analyze it and derive the useful information
from a very enormously intricate data sets that was impossible for any old-aged
software of data processing to manage (Holmes, 2017).
Strategies should be made by us to turn these huge data sets into information that
will add meaning to our lives and meet our social needs as well. One such
exceptional social need is services in healthcare. Similar to any other business
sector, the healthcare associations are generating information significantly that
counts for numerous favorable circumstances and difficulties simultaneously (Dash,
Shakyawa, Mohit, and Kaushik, 2019).
Analytics of ‘Big Data’ enables wellbeing associations to bridle their information and
use it to recognize new chances that helps in promoting more operative business
steps, increasingly effective activities, higher paybacks and more satisfied clients
(Holmes, 2017).
2. Summary
We live during a time where drive business choices are made on the data extracted
from it. Each organization incorporates huge quantity of information related to their
clients and only the prosperous organizations can transform that information into
noteworthy knowledge to transform their business operations to be executed in a
streamlined manner. Healthcare industry proves no exception and follows the same
procedure. As indicated by Wagner, the development pace of information regarding
medical services is anticipated to be extensively quantified compared to the