My Health Record: Cloud Solutions, Vendor Analysis, and SDLC Approach

This report examines vendor solutions for Australia's 'My Health Record' system, considering options from Amazon, Google, and Microsoft, highlighting their features and capabilities within healthcare. It reviews cloud-based Electronic Health Record (EHR) systems, discussing strengths like better support and cost-effectiveness for smaller practices, as well as weaknesses such as limited customizability and potential data security concerns. The report further analyzes Software Development Life Cycle (SDLC) approaches, comparing predictive and adaptive methodologies, ultimately recommending an adaptive approach for the 'My Health Record' system due to its iterative nature and focus on user involvement. The analysis concludes that an adaptive SDLC is more suitable for ensuring user satisfaction and delivering a quality healthcare record system. Desklib offers a wealth of similar documents and study resources for students.

Running head: MY HEALTH RECORD
My Health Record
Name of the Student
Name of the University
Author Note

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Table of Contents
1. Introduction........................................................................................................................2
2. Vendor Solution.................................................................................................................2
3. Cloud Solution Review......................................................................................................5
4. SDLC Approach.................................................................................................................6
Recommendation........................................................................................................................8
Conclusion..................................................................................................................................8
References................................................................................................................................10

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1. Introduction
For all the Australian an electronic online summary is launched by the
Commonwealth Government of Australia. It is the “My Health Record” which keeps the key
health information of an individual. The information of an individual is drawn from the
exiting records and the design is supposed to get integrated a local clinical system which is
existing. The health industry can also improve the quality in caring the patients. The system
is a secure web base portal that stores and shares the patients’ health reports. The
Government also be able to keep track of the medical aids and make sure that it is not being
misused by unknown or unrelated individuals and only authorised individual could use the
full facilities of this system (Crammond & Carey 2017). Thus, paper will discuss about the
solution that the different vendors provide with relevant features. In the paper, an example
will also be given which would be a cloud based solution and also include its strength and
weakness. Finally, it will conclude with a SDLC approach and provide recommendation that
would be appropriate for the system.
2. Vendor Solution
2.1 Amazon:
Amazon delivers a healthcare service to customer with a correct perspective that is
considered to apply in health care (Ibrahim, Sanni & Nsereko 2018). Amazon has a
natural diversification opportunity that makes it a customer centric company (Manoja
& Bethel 2018). The features that Amazon could provide are:
 It improves the quality of care that can be delivered to the patients.
 Amazon has a feature with two-day delivery on many of the Amazon orders to
improve the health care delivery.

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 It addresses the administrative hassle and schedule the challenges that the
patients faced (Fisher, Wadds & Clancey 2018).
 It has a broad distribution network that has aimed at delivering health care
product in the same day.
 The compelling feature of Amazon is the passive data capture for the wealth
that tells about the customers purchasing habits. With Amazon Go, customer
could simply swipe the phone sensor that distinguish between the action of the
customer (Burgess et al, 2017). Through the development of Amazon Go
technology health care can get a provide a better service.
 Amazon has integrated data for wealth that links the medical record of an
individual.
2.2 Google:
Google provide a G suite in Healthcare that has certain features
 It improves the clinical operations with collaborative, paperless Drive
platform. With the drive digital copies of the CT scans, x-rays, videos and
voice messages and other results of diagnostic tests could be shared by the
doctor and nurse to the patient.
 Improve the experience of the patients with fast communication, registration
and feedback. While patients fill the form for Chromebook kiosk and keep the
track of the patient queue (Stafford et al. 2017). The responses are captured in
the Sheets for real time updates of appointments, reminders and administrative
information. At the end, the patients provide their feedback in the
Chromebook kiosk that can improve the patient experience.

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 The hospital operation processes are managing online to go paperless. In a
minute, patients can provide their feedback through the ‘Healthcare Record’
system. The updates are easy to access from any devices.
 G suite provide the real-time updates that the individual can get access to the
most recent versions. The productivity increases that track the patients’
information in sheets or Docs.
 With G Suit, an individual can easily communicate and coordinate with the
health specialities and professionals.
2.3 Microsoft:
Microsoft provides a HealthVault platform for an individual to keep control over
their health data. The individual could collect, store and share information about their
health to whom they want. Some of the features that HealthVault provides are:
 A platform of Microsoft that provide a personal health information. It has
cross-platform commitment, long-term investment, enterprise footprint,
continuous platform improvement and international availability.
 The build-in functionalities of HealthVault handles the sensitive information
of personal health. HealthVault provides Authorization, Authentication,
Auditing, User Control and Data provenance.
 The individual could create portable health record to share information about
their health to doctors and other caregivers.
 It has a flexible data type system for health that can support the
interoperability of data. An individual user can have end-to-end experience of
HealthVault compatible apps.

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 An individual could easily customized and manage to deliver chronic care for
their healthcare tasks to keep track on their plans.
 It supports connectivity to types of devices that include Heart rate monitors,
Blood glucose monitors, Blood pressure monitors, Pulse oximeters, Weight
scales, and Pedometers monitors.
3. Cloud Solution Review
The best cloud solution is the Electronic Health Record that records the patients’
health information which the health care professional develop in their system (Palojoki et
al, 2017). The stakeholders involve in the EHRs are hospitals, professionals, nurses,
administration patients and more. Australian uses a centralised health system provided by
the Commonwealth Government (Andrade, 2017). It can use the EHR systems to monitor
the health record of the patients like the basic information of the patients, remark of the
physicians, medicines, past records of the medical, radiology and laboratory (Das, 2017).
With EHR software the patients’ entities of healthcare are easily accessible. Thus, the
development of the EHR systems guarantee safety and efficiency at high degree in the
healthcare system (Pukdesree, 2017).
Strength: The strength of cloud-based EMR systems consist of
 It gives Better Support
 In the disaster case hot-site set up is easy
 It does not need to purchase or house or maintain any hardware or software
 For licensing the up-front costs is very less
 HIPAA regulations can be more likely met by the Vendor
 The ERM system is good for the physicians those who do not travel a lot or are not
office-based

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 For practicing in solo or small groups it is more cost effective
 Transition to a different system is possibly easier
 Data protection or security measures are more sophisticated for the host companies
 To meet the use meaningfully, onus on the vendor
Weakness: The weaknesses of cloud-based EMR systems consist of
 Limited to customizability
 It has a slower response time or accessing the information across the web which lag
time or latency
 It may compromise the information of the patients if other clients co-mingled
 Backups, security are poor regarding the vendor
 Over the long haul, it is more expensive
 The data has controls over the client-host captive
 With the outage of the internet dead practices are there in the water
 The internet options are limited as the rural practices may not be viable
 When vendor is out of the business, the data can be loss in practice
 Impractical way of uploading image files that are large
 With the practice of internet connection, it has a limited bandwidth
4. SDLC Approach
The approach of SDLC in the healthcare industry is to design, develop and test the
software quality. With the approach to SDLC a high quality system has been produced within
the budget in the given estimated timelines. The deployment of the Healthcare Record
System is performed in every stage of the software lifecycle (Licorish & MacDonell 2017).
The two distinct approach of SDLC are the predictive and addictive approach.

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Pros of Predictive approach:
The predictive approach for ‘Healthcare System’ are easy to understand and follow.
There are stages being specified that follows the initiation and deployment stage. With
predictive SDLC, budget and timeline could be easily predicted. At the development stage of
the system, predictive SDLC is easier for team to improve the expected budget and timeframe
for completion of the system. The requirement of the individual can be easily known. The
doctors and patients are familiar with the use of the system. A very little risk is known.
Cons of Predictive approach:
Predictive SDLC approach is not suitable for the late stages of the system
development. At the final stages of the process of system development, the product is
generated and then tested and review for the later stage in the lifecycle model. There are
cases were requirement identification are not catered at the development phase. It makes the
effort null for the whole process.
Pros of Adaptive approach:
Adaptive SDLC approach make delivery earlier. It mainly focuses on the users. The
individual involvement and contribution provides feedback to add value to the software. The
involvement of the user ensures that the requirements are completely catered and the actual
satisfaction of the user is made availed at the final stage. Adaptive SDLC breaks down the
system development into components, testing, and aids in producing end product. After the
development of every component, testing and reviews are done to improve the system
quality. Hence, a quality system is delivered at the end.

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Cons of Predictive approach:
New users are unfamiliar with the technology and facing difficulty to use the system.
Most of the users’ times are wasted as they are unable to understand the use of the system.
Delivery of the system is not easily predictable before and during the period of development
of the system. Throughout the life process of SDLC, testing has been integrated in every
stage that helps in delivering quality products.
Recommendation
It is recommended to approach the adaptive way of SDLC in the development of the
Healthcare Record system. As the Healthcare Record system will be used by every individual
to keep track of their health record. Developing the system with the adaptive methodology
would be the best approach as it has employed extensive user before, during and after each of
the development stage. The Healthcare Record System has some crucial aspect to meet the
user requirement. It is only possible with the use of adaptive SDLC. In adaptive SDLC from
initiation to completion, the requirements were collected iteratively for every component.
Thus, it assures the satisfaction of the final product requirement. The system of Healthcare
Record involves several elements that are object-oriented in nature. Thus, predictive
approach cannot be made for this system. Ideally, adaptive approach would be appropriate to
use for the system.
Conclusion
From the study it has concluded that the vendors like Amazon, Google and Microsoft
has provided solutions to health care services with their features. Amazon is a customer
centric company and it provides every possible care to the individual which include services
like health care delivery on time without much effort being made by the individual. Amazon
also integrate data that link wealth to the medical records of an individual. Google on the

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other hand has a great feature of G suite that improve the clinical operations that makes a
collaborative paperless Drive platform. The individual could improve their experience with
fast communication, and feedbacks. Microsoft provide HealthVault platform for individual to
keep control over the health data. The report has also provided with cloud-based ERM system
whose strength and weaknesses has been discussed in the paper. Thus, in the final SDLC
approach, it has been found that the additive methodology would be the better approach for
the Healthcare Record System for an individual.

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References
Andrade, A. R. R. (2017). Adoption of Electronic Health Records in the Portuguese
healthcare system in the presence of privacy concerns (Doctoral dissertation).
Burgess, P. M., Harris, M. G., Coombs, T., & Pirkis, J. E. (2017). A systematic review of
clinician-rated instruments to assess adults’ levels of functioning in specialised public
sector mental health services. Australian & New Zealand Journal of
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Crammond, B. R., & Carey, G. (2017). What do we mean by ‘structure’when we talk about
structural influences on the social determinants of health inequalities? Social Theory
& Health, 15(1), 84-98.
Das, L. (2017). Role of Data in Improving Care within a Health System: A Case Study of the
Australian Health System (Doctoral dissertation, The Pardee RAND Graduate
School).
Fisher, D. G., Wadds, P., & Clancey, G. (2018). The patchwork of alcohol-free zones and
alcohol-prohibited areas in New South Wales (Australia). Safer Communities, 17(2),
94-102.
Ibrahim, S., Sanni, S. A., & Nsereko, A. K. (2018). Acceptance of Electronic Health Record
for Improving Quality of Health Service Delivery: Case Study of Aminu Kano
Teaching Hospital, Nigeria. KIU Journal of Humanities, 2(2 (B)), 195-210.
Licorish, S. A., & MacDonell, S. G. (2017). Exploring software developers’ work practices:
Task differences, participation, engagement, and speed of task resolution. Information
& Management, 54(3), 364-382.

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Manoja, P., & Bethel, G. B. (2018). A Survey on CDA Generation and Integration for Health
Records Exchange on Hospitals. International Journal of Current Trends in Science
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Palojoki, S., Mäkelä, M., Lehtonen, L., & Saranto, K. (2017). An analysis of electronic health
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