Medical History Storing and Sharing Among Public Clinics via Cloud Computing Technology

This report discusses the process of storing and sharing medical history among public clinics via cloud computing technology. It includes data collection from various sources, data storage, experiment designing and implementation, and result analysis. The expected result is to understand the use of cloud computing technology within the medical system and its drawbacks. The report provides valuable insights into the development of cloud computing technology.

NIT6130 Assignment 4
Medical History Storing and Sharing Among Public Clinics
via Cloud Computing Technology
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NIT6130 Assignment 4
Table of Contents
Introduction.................................................................................................................................................2
1. Data collection.........................................................................................................................................2
1.1 Data sources......................................................................................................................................2
1.2 Collection of data..............................................................................................................................2
1.3 Data storage.......................................................................................................................................4
2. Design and Implementation.....................................................................................................................4
2.1 Data preprocessing............................................................................................................................5
2.2 Features selection or reduction..........................................................................................................5
2.3 Experiment designing........................................................................................................................6
2.4 Experiment implementation...............................................................................................................7
3. Result and Analysis.................................................................................................................................9
3.1 Expected result..................................................................................................................................9
3.2 Result summary.................................................................................................................................9
4. Outline of experience and Result analysis.............................................................................................10
Conclusion.................................................................................................................................................10
References.................................................................................................................................................11
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NIT6130 Assignment 4
Introduction
Medical history storing and the sharing of files to the public clinic that also by the process of
cloud computing technology is the developing process to maintain the information in the medical
field. This process is effectively developing in the numerous field of working function with the
rapid development of technology in the world. The primary purpose of the report is to provide an
effective assessment of the data collection procedure and the analysis for achieving the effective
result on the research topic.
1. Data collection
Data collection or gathering is the method which helps to assemble evidence from the various
sources to understand the process and the development of research within the field. The
collection of data is being performed by secondary as well as the primary sources to gather the
information regarding the medical history storing as well as sharing among the public clinic by
the help of the could computing technology (Palinkas, Horwitz, Green, Wisdom, Duan, &
Hoagwood, 2015). The information is being selected and analysed by the help of test hypotheses
as well as the evaluated outcomes regarding the research paper for the development of research
topic within the field.
1.1 Data sources
The data source is the connection set-up of the database from the servers. It is the source that
effectively provides the view on the various sources of data that has been utilised analysis of the
research paper. The various data source that has been utilised within the paper is the public place
that is malls and the public stations, then the college or the universities and also various
companies regarding the assortment of the documents.
1.2 Collection of data
The collection of data is being the process which helps to enhance the research paper and the
development process within the field. The primary data is being collected from different public
sources and the entire process if free of cost to perform in the field (Cleary, Horsfall, & Hayter,
2014). Below table provides the view on the procedure of data collection as well as effective
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NIT6130 Assignment 4
need of information for the research topic to understand regarding the development of cloud
computing technology in the medical history of storing.
Table 1: Data Collection
Name of
Data source
Source
organisation
Description
of
Information
Information
file format
Duty Fee Target
Information
Source
Data 1 Public Is cloud
computing
technology
suitable for
the
organisation?
txt Free Yes
Data 2 Public Ways utilised
by medical to
store their
history?
txt Free Yes
Data 3 Public Is the cloud
computing
technology
suitable for
sharing data
among the
public clinic?
txt Free Yes
Data 4 Public What is the
pros and cons
of using
cloud
computing
technology
within the
organisation?
txt Free Yes
Data 5 Public What is the
security level
for sharing
information
of the
medical
history to the
public clinic
with the help
of cloud
computing
technology?
txt Free Yes
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1.3 Data storage
Data storage within the research paper is the general term that is being used for achieving data in
the various form like the public information for the use of analysis by the device. Data storage
allow the researcher to maintain their collected raw information for the analysis. This is one of
the most effective processes to maintain the information and keep the confidentiality of the raw
data that has been collected from the various public sources. The number of data collected for the
research paper helps the researcher to select the best and the suitable information for the analysis
of the research topic.
Table 2: Information storage
Information
source name
Date of
gathering
location of
Saved files
Name of
Saved files
Format of
Saved files
No. of
information
records
The
examination
from the
communal
places
09/08/2018 //rare data/ Cloud
computing
Assessment.txt
txt 70
Investigation
from college
12/08/2018 //rare data/ Cloud
computing
Assessment.txt
txt 80
Investigation
from
companies
15/08/2018 //rare data/ Cloud
computing
Assessment.txt
txt 40
2. Design and Implementation
Design as well as implementation are one of the essential parts in the term of data selection for
the analysis. The design and implementation show that not all the information gathered from the
survey is necessary and this phase help to adjust the suitable and the effective information for the
analysis of the research topic. This is one of the vital steps for the researcher to maintain their
raw data collected from the public sources to analyse the information and provide a suitable
outcome on the research topic.
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2.1 Data preprocessing
Data preprocessing is the technique of data mining which includes the transformation of the raw
information in the understandable layout. It can be seen that the real world data that is being
gathered from the numerous respondents in the field survey are mostly incomplete. By the help
of the data pre-processing the research is able to solve this issue and provide the best result by
depending on the collected information from the survey (Ramírez-Gallego, Krawczyk, García,
Woźniak, & Herrera, 2017). In this research paper, numerous information has been collected
from the colleges and the public places and also from the companies on cloud computing
technology and the storing of medical history where most of the information was incomplete. To
maintain the information and the data that has been gathered within the field allow the researcher
to understand the effective process for the analysis of the data.
Figure: Data preprocessing stages
2.2 Features selection or reduction
The dimension reduction is the procedure by that the researcher is eligible on behalf of reducing
the number of random variables under the consideration by the process of obtaining the set of the
principle variables (Nassirtoussi, Aghabozorgi, Wah, & Ngo, 2015). This process eventually
helps the researcher to get the most appropriate data or the information that is being suitable for
the development and the analysis of the research paper. The data or the information are being
selected by the various process of the pre-processing method to gain the most suitable and
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effective information regarding the medical history storing and sharing with public clinic via
cloud computing technology.
Table 3: Assortment or lessening of data
Date Name
of data
source
Purpose of
Preprocessing
Method of
Preprocessing
Data
record
(unique)
Data
record
(end
result)
The new
data file
name
18/08/2018 Data 1 Spotless the
mining
information
Documents
filtering
190 167 Final-
assessment.txt
18/08/2018 Data 2 Avoid
unfaithfulness
Documents
cleaning
(reduction)
150 110 Final-
assessment.txt
18/08/2018 Data 3 Feature
assortment
Evidence
integration
100 80 Final-
assessment.txt
18/08/2018 Data 4 Data filter Information
reduction
90 75 Final-
assessment.txt
18/08/2018 Data 5 Feature
selection
Information
reduction
80 70 Final-
assessment.txt
2.3 Experiment designing
The experience scheme is being performed by the help of effective knowledge and skill
regarding the process. The methodology selected in this process is one of the best ways to
provide the valuable outcome for the research topic. It can be seen that the experiment design
allow the researcher to develop their view and their understanding regarding the process and also
allow them for the improvement of various skill and knowledge in term of the research topic.
Both the qualitative and the quantitative method allow the research to maintain their view and
their data collection process in the most suitable and effective way (Eyring et al., 2016). The
below table provides the valuable view on the expected outcome of the research paper from the
analysis of the raw data that has been collected for the various public places.
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Table 4: Experiment designing
Date Experime
nt
Persistenc
e of the
experimen
t
Explanatio
n of
process
Contributio
n data
Predictable
output
Result
file name
20/08/201
8
Experimen
t 1
Evaluate
methodolo
gy
Gather the
informatio
n from the
public
places
Provide
questionnair
es
Suitable
answer and
response to
the various
questionnair
es
Output1.t
xt
20/08/201
8
Experimen
t 2
Evaluate
methodolo
gy
Prepare for
the
personal
interview
Provide
close-ended
question to
the
respondents
The
appropriate
response to
the research
paper
Output1.t
xt
20/08/201
8
Experimen
t 3
Evaluate
methodolo
gy
Maintain
and storage
of the raw
data
Perform data
mining and
data
integration
process
Achieve the
most
effective and
suitable
information
for the
research
topic
Output1.t
xt
2.4 Experiment implementation
The implementation of the experiment within the research paper allows the researcher to
maintain their information and their development process within the field (Marzband,
Yousefnejad, Sumper, & Domínguez-García, 2016). The experiment, as well as the result, is
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being implemented within the research paper by the help of the percentage analysis and the
response data.
Table 5: Survey question and the response of the participants (total participants = 190)
Questions Response (number
and percentage)
Is cloud computing technology suitable for the organisation? 167 (87%)
Ways utilised by medical to store their history? 110 (57%)
Is the cloud computing technology suitable for sharing data among the
public clinic?
80 (42%)
What is the pros and cons of using cloud computing technology within
the organisation?
75 (39%)
What is the security level for sharing information of the medical history
to the public clinic with the help of cloud computing technology?
70 (36%)
Question 1 Question 2 Question 3 Question 4 question 5
0
20
40
60
80
100
120
140
160
180
167
110
80 75 70
Response to survey questions
Response to survey questions
Graph 1: Answer to the survey questions in the research
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The graph shows the response of the public in numbers that are being utilised for the research
paper to understand the facts and the figure regarding the research topic. The graph represents
the various number of response that is being provided for each of the survey questions.
Question 1; 87%
Question 2; 57%
Question 3; 42%
Question 4; 39%
Question 5; 36%
Response to the survey question in percentage
Graph 2: The percentage of response to the survey question
3. Result and Analysis
3.1 Expected result
The expected result for the research paper is that people are very much aware of the cloud
computing system and with the development of time they are using this process effectively
within the medical system. This is the primary expectation of the research outcome to have the
clear view on the use of cloud computing technology within the market and also its drawback
regarding the process within the field. The experiment is done to achieve the effective result on
the process and provide a valuable outcome for the development of cloud computing technology.
3.2 Result summary
The very first result that could be achieved form the survey is the idea or the concept regarding
the fact that whether the cloud computing technology is suitable for the organisation or not. This
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is the primary and the most effective response in the research paper as this help to understand the
need of could computing technology within the modern business world.
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4. Outline of experience and Result analysis
The outline of the experience and the analysis are provided below;
 Data gathering or collection
 Data or information sources
 Gathering of data
 Storing of information or information
 Design as well as application of the experiment
 Information preprocessing
 Information reduction or feature selection
 Experiment design
 Implementation
 Result Analysis
 Consequence estimation
 Outcome summary
Conclusion
The paper eventually concludes the facts that the data is being collected by the help of effective
view and the working function within the field regarding the cloud computing technology within
the process of sharing files and medical history to the public clinic. The paper also provides the
effective view on the collection of data or the information from the field survey to analyse the
information and to gather effective communication process within the field.
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References
Cleary, M., Horsfall, J., & Hayter, M. (2014). Data collection and sampling in qualitative
research: does size matter?. Journal of advanced nursing, 70(3), 473-475.
Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., & Taylor, K. E.
(2016). Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6)
experimental design and organization. Geoscientific Model Development, 9(5), 1937-
1958.
Marzband, M., Yousefnejad, E., Sumper, A., & Domínguez-García, J. L. (2016). Real-time
experimental implementation of optimum energy management system in standalone
microgrid by using multi-layer ant colony optimization. International Journal of
Electrical Power & Energy Systems, 75, 265-274.
Nassirtoussi, A. K., Aghabozorgi, S., Wah, T. Y., & Ngo, D. C. L. (2015). Text mining of news-
headlines for FOREX market prediction: A Multi-layer Dimension Reduction Algorithm
with semantics and sentiment. Expert Systems with Applications, 42(1), 306-324.
Palinkas, L. A., Horwitz, S. M., Green, C. A., Wisdom, J. P., Duan, N., & Hoagwood, K. (2015).
Purposeful sampling for qualitative data collection and analysis in mixed method
implementation research. Administration and Policy in Mental Health and Mental Health
Services Research, 42(5), 533-544.
Ramírez-Gallego, S., Krawczyk, B., García, S., Woźniak, M., & Herrera, F. (2017). A survey on
data preprocessing for data stream mining: Current status and future
directions. Neurocomputing, 239, 39-57.
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