System Analysis

This article discusses vendor solutions such as Drchrono EHR, NueMD, and Athena health. It also reviews cloud-based systems and their strengths and weaknesses. Additionally, it explains the predictive and adaptive SDLC approaches and their advantages and disadvantages.

System Analysis

Contents
Vendor Solution...............................................................................................................................3
Review of cloud-based....................................................................................................................5
SDLC Approach..............................................................................................................................6
References........................................................................................................................................9

Vendor Solution
Drchrono EHR : This software is a patient care platform which helps in offering customization at
the point of care and on the go. Apart from it the software also includes the scheduling practice,
billing and patient reminder activities (Software Advice, 2006).
Some of the main characteristics of the product are:
1. The product is easy to runs on i- Pad, i- phone and Apple Watch
2. Healthcare providers can easily use the application for technology purpose and back
office functions they require.
3. This particular platform automates the patient checking, its documentation, e-
prescription, medical billing and much more
4. The patient personal health record application guides the patients with the help of
registration and at the time of net visit they simply confirm the information with just one
tap
5. It is easy for the user to check patient’s document, built informs and much more because
of customization
6. The application will easily work on Android and iOS
NueMD: This particular software offers the clients of the vendor a cloud based software and the
maintenance of the billing services of the medicines for the practices of all types. Some of the
characteristics of NueMD have been discussed in brief below:
1. The vendor is capable of giving the management of all types of integrated practice,
management of the billing of the medicines, management of the health record and the
scheduling of the appointments of the patients

2. The medical billing users can easily process the unlimited numbers of claims with the
help of NueMD’s HIPAA compliant claims houses.
3. One of the additional product offered by the vendor in this software is that it includes the
integrated credit card processing and one-click paper claims.
4. The vendor claims that with this product, doctors and medical professionals can add the
charting feature, e- prescribing future, report of laboratory tracking and secure system of
fax management to the clinical flow of work.
5. The software will be using a customer support instant messaging system for offering
timely technical support to the users.
6. Doctors can easily share the prescriptions through iPhone, iPad and the internet. the
software also offers the e- fax facilities (Software Advice, 2006)
Athena health: The vendor offers cloud-based services. Some of the characteristics are:
1. The software of Athena Health helps in the electronic record management, revenue cycle
of the management and management of medical bills
2. The software is quite useful in offering homepages which allows the users in reviewing
the daily scheduling and maintaining the information of patients, management of the
orders and management of the reports of lab
3. The tool is helpful for the patients as they are able to review the previous bills and
documents, payment of bills, signs forms and schedules the appointments
4. Users can easily share reminders through phone, email or text messages
5. Patients can be alerted during the time of test results in the patient portals (Software
Advice, 2006)

Review of cloud-based
Cloud computing based system is a recent and fast-growing area of the development in the
medical field. On-demand access to the virtual field, endless resources in combination with the
pay per usage model allows for the new ways of the development, delivering and utilizing
services. Cloud computing system is growing the interest towards several medical organizations
all over the world but adoption of the cloud computing is not that easy task because there are
many issues associated with its adoption, which are required to be eliminated. Cloud computing
in health care system is one of the solutions for medical organizations for the purpose of
managing data in an efficient manner and using the flexible, scalable and affordable platforms.
Strengths and Weakness of Cloud-based system
Strengths: The strengths of the cloud computing system in the healthcare sector comprise of cost-
effectiveness, innovation, and flexibility, simplifying cost, compliant facilities, flexible,
maintenance cost reduction, controlling resources, time and location. Usage of the cloud
computing in the healthcare sector leads to a reduction in cost because it does not require any
start-up expenditures. healthcare organizations face lack of enough resources and also cannot
afford the intensive expenses Cloud computing has the capability of providing all of them. Easy
access to the records of the patients in any time and anywhere leads to increment in collaboration
amongst the doctors and patients, so the quality of the services towards patients will be
enhanced. strength of the system keeping in mind the environment where we are thinking of
implementing the project will be that: users will be having unlimited access to the software using
the devices, user will not be chained to one single stationary computer, data will be easily shared
with the systems and the system will be having its own information technology support
(Viswanathan, 2018).

Weaknesses: Absence of the strengths is considered as a weakness, so the weakness of cloud-
based computing system in the healthcare sector comprises: Training needs, high speed of
internet connection needs, integration with software is also tough. Implementation of the cloud-
based computing system in the health care system is not an easy task as there are many factors
which are involved in the adoption and implementation and also the software is more dependent
on the cloud-based service provider. many of the hospitals do not even internet connection to
connect to the cloud, so in this case, it is very hard to implement the cloud computing. Internet
connection is a fundamental and essential need for connecting the cloud and usage. The
weakness which our project will basically feel will that: turning over the data, security,
availability and the control to the third party means that the medical organization will not be
having any control (Viswanathan, 2018).
SDLC Approach
Now days every company is following a set procedure of SDLC technique for the purpose of
designing, developing and testing the quality of the software. The approach of the SDLC goals
towards developing the higher quality software which is actually in the budget and within
estimated timelines. There are two kinds of approaches of SDLC which are known as: predictive
and adaptive methodologies. The approach of adaptive measure is implemented only when the
software which is in hand associates with the unknown outcomes. For instance the agile software
development is one of the pattern of adaptive SDLC. On the other side, the predictive SDLC is
implemented in such type of projects that are having specified outcomes and even their outcome
variables are known. The technology of waterfall falls under the category of predictive SDLC

towards the development of the software (Software Testing Genius, 2018; Halvorsen, 2017;
ICAI, 2017).
Predictive and Adaptive SDLC
Advantage of Predictive SDLC: This kind of SDLC is very easy understanding and in
following the pattern. The methodology illustrates varied types of stages that are followed by the
starting towards the implementation of the software. The steps are quite easy in understanding
and this is the reason why the developers find it easy to understand the process ad come up with
the quality software maintenance within the frame of time and also within the budget which is
specified. The predictive SDLC also allows for quite easy and manageable predictions of the
budget analysis. As the end results of the process are quite known and the final product also
visualizes at the starting stage of the development of the software, the predictive SDLC makes it
easy for the teams for coming up with the budgets which are expected as well as the expected
frame of the time needed for completing the projects (Georgetown, 2018).
Disadvantage of Predictive SDLC: In this kind of SDLC approach, no software is produced
until the late stage arrives of the development of the software. The software product is generated
at the late stage of the processing of the development. The software testing is also done at the last
stage of the life cycle modeling. Such technique is of not much usage for the complex objects in
project. Such type of methodology is of use for the project which are small time, in which all the
needs are clarified at the starting stage and even the expected results of end analyzed at the
project starting stage. The other side, this methodology is not good wherein all the needs are not
known or at the risk of change within the time. The methodology of predictive approach is quite
inapplicable for the projects that are of long time and are even of the ongoing time because of the
rigidity and the strict guideline (The University of Texas, 2017).

Advantages of the Adaptive SDLC: The adaptive approach of the SDLC offers some type of
opportunity for the extensive engagement of the stakeholder before the kick off the projects,
during and after the stages of the project. Through the engagement processing, the approach
mainly offers the high degree of the client collaboration with the team as it gets involved in the
extensive interaction type in between the development team and the client during each and every
stage (Tutorialspoint, 2018). The process of communication helps the customers in evaluating
and understanding the project stages one by one and one after the other. The processing allows
them in sharing the views and adding some needs whenever the demand or need arise. The
interaction in between the client and the development team aids the team for understanding the
vision which is being followed by the client. The strategy followed by adoptive approach allows
the early delivery of the project. This happens because of the extensive level involvement of the
clients before and after the stages of the development of eth software. Apart from it, there
happens speedy developments which comes up in the software delivery
Disadvantages of the Adaptive SDLC approach: The adaptive approach of the SDLC
demands for extensive involvement in case the user takes up as the representative which is
associated with the time and the level of commitment during the project lifetime. Much of the
timinings is wasted because in many of the cases that are engaged during the session of testing
and gets disengaged in the session of development. The approach of adaptive SDLC involves lot
of emergence requirement and evolution during the project lifetime. The future needs in many of
the cases forces the project in taking longer time in completion than the time which is anticipated
and in other cases, the project also becomes quite big than it was earlier visualized in the starting
(Cerritos College, 2017; Idea, 2005).

Which is better?
The approach of adaptive SDLC is considered to be one of the best methodology for the
implementation purpose during the development medical health record maintenance project. As
the project is completely based on maintenance of health records so it is expected that the
software will be sued by many types of users. So, development of such software through
adaptive approach is the best approach, as in this methodology, extensive involvement of the
user is employed before and after the steps in the development process. The completion of the
needs of the user is quite crucial aspect of the automated health related project. This particular
approach can be made possible with the use of the adaptive methodology of SDLC since the
requirements are collaterally right from the starting towards the completion of the components
and hence the hence assuring satisfaction of the needs in the end product. The project health
record maintenance is a project which involves various types of elements and is also object
oriented in the nature. SO it is quite visible that the approach of predictive SDLC is not suitable
for the project. The approach of adaptive methodology is also ideal for the project.
References
Cerritos College. (2017). System Analysis And Design In A Changing World. Retrieved from
Cerritos.edu:
http://web.cerritos.edu/sfuschetto/SitePages/CIS201/LectureNotesOnTalonNet/
Chapter08Lecture.pdf
Georgetown. (2018). Pros and Cons of Predictive Analysis. Retrieved from
Scsonline.georgetown.edu: https://scsonline.georgetown.edu/programs/masters-
technology-management/resources/pros-and-cons-predictive-analysis

Halvorsen, H.-P. (2017). The Software Development: A Practical Approach. Retrieved from
Home.hit.no: http://home.hit.no/~hansha/documents/software/software_development/
resources/Software%20Development.pdf
ICAI. (2017). System Development Life Cycle Methodology. Retrieved from
Icaiknowledgegateway.org:
http://www.icaiknowledgegateway.org/littledms/folder1/chapter-2-system-development-
life-cycle-methodology.pdf
Idea. (2005). Adaptive vs. Predictive: Is the end clear? Retrieved from Idea.org:
http://www.idea.org/blog/2005/12/02/adaptive-vs-predictive-is-the-end-clear/
Software Advice. (2006). Athenahealth EHR Software. Retrieved from Softwareadvice.com:
https://www.softwareadvice.com/medical/athenacollector-athenaclinicals-profile/
Software Advice. (2006). Drchrono EHR Software. Retrieved May 24, 2018, from
Softwareadvice.com: https://www.softwareadvice.com/medical/drchrono-profile/
Software Advice. (2006). NueMD Medical Billing Software. Retrieved from
Softwareadvice.com: https://www.softwareadvice.com/medical/nuesoft-nuemd-complete-
profile/
Software Testing Genius. (2018). Software Development Life Cycle. Retrieved from
Softwaretestinggenius.com:
http://www.softwaretestinggenius.com/download/Lifecycle.pdf
The University of Texas. (2017). The System Development Life Cycle. Retrieved from
https://www.scribd.com/document/356686962/2-SDLC-Adaptive-and-Predictive
Tutorialspoint. (2018). Adaptive Software Development - Lifecycle. Retrieved from
Tutorialspoint.com:

https://www.tutorialspoint.com/adaptive_software_development/adaptive_software_deve
lopment_lifecycle.htm
Viswanathan, P. (2018, May 22). Pros and Cons of Cloud Computing. Retrieved from
Llifewire.com: https://www.lifewire.com/cloud-computing-explained-2373125