Analysis of Informatics Applications 2022

Running head: ANALYSIS OF INFORMATICS APPLICATIONS
ANALYSIS OF INFORMATICS APPLICATIONS
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ANALYSIS OF INFORMATICS APPLICATIONS
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Big data and data mining which is an important aspect of data analytics are described in this
essay. Along with that, it also explains business continuity plan and its application in
organization. A detailed explanation of nursing informatics is also described is also provided
in this essay as well.
Identification of one aspect of big data and data mining that is interesting. Explanation
of the concept and how it might bring value to healthcare
Big data and data mining are considered for identifying insight from a large collection of
dataset which is then considered for ensuing informed decision. This aspect of big data and
data mining is applied in various applications and industries. One such industry where big
data might be applied along with data mining is healthcare and an important application
where this might be considered is analysing effectiveness of treatment. In order to improve
quality of healthcare being provided to patients, it is important to assess quality of treatment
and this is where big data and data mining is so effective. Big data and data analytics are two
important concepts in advanced data analytics. Although these two concepts are different but
analysis of these concepts are required for application of data analytics in various industrial
context. Big data consists of large dataset that is huge in volume and include data that is
structured and non-structured as well. However, it needs to be identified that big data often
involves data that are not structured and this why advanced analytics is required for
identifying insight from data for meaningful applications as well. This is where data mining
is applied for identifying insight from large dataset often referred to as big data in data
analytics as well (Senthilkumar et al., 2020). In this digital era, healthcare has been
revolutionized through application of technology and in this digital revolution of healthcare,
data is the most important aspect. Data is collected in various context for example personal
information regarding patients, healthcare issues, causes and symptoms of those healthcare
issues and treatment provided to them as well.

ANALYSIS OF INFORMATICS APPLICATIONS
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Although these data are collected for improving quality of healthcare, but the problem is that
these data are not only huge in volume, but not structured as well. Therefore, it is not easy to
organize these data through traditional data analytics techniques. However, in order to ensure
that these data are effective in healthcare applications it is required to present these data in
such a format that it is easier to analyse these data for healthcare practitioners. Data mining
helps to compare and also contrast datasets regarding symptoms of patients, causes of
treatment along with course of treatment even though these data are not organized. This
analysis provides context to determine if provided treatment is effective or not and then if
required it is also possible to identify best course of a treatment provided for a specific illness
or some condition as well.
For example, when a patient group is provided different regimens of drug, it might be
compared to identify which plan for treatment works best for a patient group and therefore it
is easier to recommend most effective treatment plan. It not only enhances quality of
treatment, but also helps in saving money for treatment as best treatment is provided to them
through extensive data analysis for which data mining is important as well.
Description of the concept of continuity planning. Description of the preparedness
program that is recommended in this context
In order to ensure that organization is capable of ensuing smooth execution of their business
process, it is not only enough to identify issues that might affect business process, it is also
important to apply proper plan that offers strategies to recover business from issues for
example natural disasters or some technical issues like data breach or any type of cyber
security issues that affects continuity of business as well. Therefore, purpose of continuity
planning is to ensure that even though there are some issues that affects business process,
there are strategies available to minimize effect of factors that are threat to business