ITECH5500: Cloud Computing for Healthcare Data Collection

This research proposal explores a cloud computing solution for automating the collection, processing, and distribution of vital patient data in healthcare. The study addresses the limitations of manual data collection methods, proposing a system that utilizes a network of sensors connected to legacy medical devices and cloud storage. The research investigates methods for resource management, ubiquitous communication between stationary and mobile devices, and security implementation. The methodology involves reviewing relevant literature, including journal articles and academic papers, to analyze the risks associated with cloud computing in healthcare. The project aims to provide a concise and clear analysis of the proposed solution, contributing to the advancement of healthcare technology.

A C L O U D
C O M P U T I N G
S O LU T I O N F O R D ATA
C O L L E C T I O N O F
PAT I E N T S I N
H E A LT H C A R EN A M E O F T H E S T U D E N T
N A M E O F T H E U N I V E R S I T Y

INTRODUCTION:
• There are various issues that are associated with the
automation process in the sort of environment, protocols,
heterogenic devices as well as programming interfaces.
• The wireless networks can facilitate the distribution and
collection of the information from and to the mobile
devices (Kaur et al., 2018).
• The research will focus on the issues of the vital data
collection of the patients, processing and distribution.
The existing solutions are on the basis of manual note
that are labor resource intensive and time consuming.

SUMMARY OF RESEARCH QUESTIONS
AND PURPOSE:
• The aim of this research is to propose a system for automating
the procedure of collecting vital data of patient by a network
that is connected by sensors for the legacy medical devices as
well as deliver that information the cloud storage of medical
devices.
Research questions:
1. What are the methods for resource management?
2. What are the methods for ubiquitous communication between
stationary computing devices and mobile computing?
3. What are the methods to implement security?

SUMMARY OF RELEVANT
LITERATURE:
• According to Darwish et al., 2017, a solution for
monitoring cardiovascular disease by utilizing PDA
(Personal digital assistance) as well as to apply the
grid computing like the technology enabler (Luo, &
Ren, 2016). The medical staffs are able to access
utilizing the apps that are in the software such as
SaaS (Software as a service) basis. The solution that
will come as a result provide some of the
requirement but it focuses on a solution that is
different or not covering how the data that are vital
are needed.

SUMMARY OF METHODS, METHODOLOGY
AND DATA COLLECTION:
• The method that will be used to collect data and
information that are related to the cloud computing
related services in the healthcare industry (Stantchev et
al., 2015). Several journal and articles as well as academic
papers will be reviewed for the analysis of the issues.
• The risk that are related to the cloud computing in health
care service in the health care related organisations can
be analysed with the help of this method in a clearer as
well as in manner that is concise in type

PROJECT PLAN:
WBS Task Name Duration Start Finish
0Gantt chart 35 days Mon 29-07-19 Fri 13-09-19
1 Initiation phase 8 days Mon 29-07-19 Wed 07-08-19
1.1 Selection of topic 2 days Mon 29-07-19 Tue 30-07-19
1.2 Analysis of the background 2 days Wed 31-07-19 Thu 01-08-19
1.3
Collection of data and information from the secondary
sources
4 days Fri 02-08-19 Wed 07-08-19
2 Literature review 13 days Thu 08-08-19 Mon 26-08-19
2.1 Issues that are related with cloud computing 6 days Thu 08-08-19 Thu 15-08-19
2.2
Determining of the methods to resolve issues related to
cloud computing
7 days Fri 16-08-19 Mon 26-08-19
3 Methodology 10 days Tue 27-08-19 Mon 09-09-19
3.1 Selection of research philosophy 3 days Tue 27-08-19 Thu 29-08-19
3.2 Selection of research approach 4 days Fri 30-08-19 Wed 04-09-19
3.3 Selection of research design 3 days Thu 05-09-19 Mon 09-09-19
4 Discussion 7 days Thu 05-09-19 Fri 13-09-19
4.1 Analysis of the academic challenges 2 days Thu 05-09-19 Fri 06-09-19

REFERENCES:
• Kaur, H., Alam, M. A., Jameel, R., Mourya, A. K., & Chang, V.
(2018). A proposed solution and future direction for
blockchain-based heterogeneous medicare data in cloud
environment. Journal of medical systems, 42(8), 156.
• Luo, S., & Ren, B. (2016). The monitoring and managing
application of cloud computing based on Internet of Things.
Computer methods and programs in biomedicine, 130, 154-
161.
• Stantchev, V., Barnawi, A., Ghulam, S., Schubert, J., & Tamm, G.
(2015). Smart items, fog and cloud computing as enablers of
servitization in healthcare. Sensors & Transducers, 185(2),
121.