The rise of distributed computing prompts new improvements for various application domains. This can be possible in case of healthcare organization subsequently making it worth to examine the pertinent perspective as well as insights. In this scenario, we have discussed about modern development with front line advancements in the cloud computing based frameworks for the healthcare. The demand of cloud computing enhanced the consideration and it represents a standout amongst the most vital research in the field of science and data frameworks. It alludes to both the applications delivered as administrations over the Internet, hardware as well as software frameworks in the data centers which give those administrations. Cloud is presently observed as a substantial procedure and particular applications based on these innovations have turned out to be across the board. Healthcare, as with some other administration operation, has been affected by the cloud framework with the challenges as well as benefits. According to the given scenario, my task is to develop system analysis and development report regarding its challenges, advantages etc. (Stantchev & Palacious, 2014).
Non – Functional (FURP +) Requirements
Non-functional requirements are subjective necessities that mainly add to the development of the framework: response speed performance, its reusability, unwavering quality, or accessibility of the cloud based framework. These capacities are intended for acknowledging necessities since framework advancements are perceived to be as effective just if such useful prerequisites are obviously characterized. In spite of the objectives as well as foundation of the framework improvement are composed and shared among partners, a few functions are there which may not be used when they are delivered. Moreover, if a few traits of the capacities are not plainly characterized, the framework won’t accomplish anticipated levels of execution or ease of use and such configuration would need to be reassessed. Characterizing NFRs in the early outline stage will address countless issues in the following stages. Despite the fact that, Headspace organization has, experience, developed some NFRs, the scholarly community has been attempting to set up a model to clarify the values of NFRs. (Hosono & Hara, 2010).
NFRs are the imperatives of the framework. These requirements are for the development process as well as its arrangement process. The quality necessities are otherwise called nonfunctional prerequisite. The specific qualities of the framework must have like precision, execution, its easiness, modifiability, wellbeing, execution, dependability, security, adaptability etc. NFR are dependably associated with its functional necessity. NFRs must be organized from the perspective of stakeholder. Therefore, it ought to be first inspired from the partners. So the elicitation strategy must be planned in such a way that it will connect intimately with the partners. (Md. Rahman & Ripon, 2013).
The interface ought to be simple to figure out how to utilize and must be easy. The non-functional requirements like usability for the cloud based interface configuration should be able to support the accompanying from the perspective of its essential users:
Effectiveness of utilization: objectives are anything but difficult to finish rapidly and with few or no client mistakes.
Intuitiveness: the framework must be simple to understand and explore; headings, and the error messages which displays must be easy to understand.
Less workload: The cloud healthcare framework for Headspace project must be simple to utilize, instead of frustrating, requesting and disappointing. (Usability & Web Design Services, 2015).
The cloud based framework for Headspace project must have graphical UI as well as it must be able to give instructive errors. The characteristics of the usability that may be measured can be learning time it brings up the time which is required to take in the application, the errors that occur during working with the typical speed moreover the similarity of the customer to quantify the framework i.e. the user satisfaction in using the system. The cloud framework should be simple and easy to utilize and access. The patient’s condition who truly require the specialist help to get rid of their depression state must be saved into the framework by specialist or medicinal staff, with the goal that data once entered can be accessed by approved clients at whatever point required. (Kaur & Ahamad, 2015).
Reliability can be defined as the limit of the product to keep up its execution over the time. It suggests working of framework during its top hours. A powerful framework is one which has the ability to deal with the errors and viruses without any type of failure i.e. how easily it solves the errors in light of information or dealing with while working with the system, and if the Headspace project cloud framework is robust it must also be reliable. The framework needs to be self-independent, steady as well as complete. The cloud based framework must be enough reliable to safely transfer patient data from doctor to medical staff who is attending the patient. (Kaur & Ahamad, 2015).
The NFR requirement can be defined as the limit of the framework or programming to process the various transactions during each second as it is submitted without any type of error or failure. Notwithstanding the way that the framework is useful and solid in the event that it neglects to make effective utilization of assets like CPU cycles, disk space and also its execution isn’t great that is the performance of the cloud based framework isn’t up to the point. This NFR requirement is about how well the framework can work regardless of whether the product must have the ability for its response time targets. It measures that how successfully the product will have the ability to scale with innumerable exercises for each second, minute, or hour. The internet managing an account framework is a multi-client framework, which infers customers can get to the framework at the same time and the framework will work precisely and capably. In case of Headspace project, many transactions must be possible at the same time when doctor is monitoring a particular patient record and on the same time medical staff is updating the information of that patient. (Kaur & Ahamad, 2015).
Security is confirmation that only authorized people or elements can access the patients’ information. The illegitimate access as well as the data theft by staff in main reason for data leakage. Another issue which can arise is unapproved access as well as malevolent assaults from the third party. Therefore, the encryption, recognizable proof as well as access control of patient health information must be critical requirement for the patient data safety.
The patient wellbeing data incorporates individual data, subtle elements of therapeutic history, side effects, medications, and even the family wellbeing history. It is vital to guarantee that the patients can approve precisely who can see the common wellbeing data as well as for what purposes. All the data produced by a patient is not at a sensitive level. Information division may give a technique to secure particular segments of wellbeing data while offering decisions to patients, and standing necessities of legitimate. The technical ideas as well as meaning of sensitive data must be tended to while fragmenting information. (Hu, Y., 2014).
Difference between Functional & Non-Functional Requirements
The functional requirements (FR) are commonly known as the highlights or the outline for which the system may have a menu structure, like identification of authorized user and password, which service needs to be used etc. If there should arise an occurrence of Headspace venture, the human services framework must be centered on what sort of data it must spare and it is considered as practical prerequisite.
Non-functional requirements are traits that includes execution levels, its security, and some other utilities like how easy it is to use, unwavering quality, as well as its accessibility. Constantly, the requirements get framed in how the cloud framework is required to work and also can dismiss other components. When these factors are not tended to enough, apparently legitimate item/framework working in actuality neglects for working. Eg: a framework may distinguish its customers in moderate, insecure, as well as difficult to use some key points that it can cause some errors that make data problematic. (Goldsmith, 2017).
The financial pros of the cloud computing are at large extent as the cloud computing provides cost adaptability as well as some potential for the reduced prices. Overwhelming capital use must be avoided, as the IT resources are hired on demand according to the requirement and paid for as its operating cost. Additionally, the staff resources must be required to maintain the organization’s IT resources that are included in the price of cloud computing. In this manner, the need for extra healthcare supplier skilled staff assets as well as related expenses needs to be reduced during usage of cloud computing. From the operational perspective, cloud administrations offer versatility and the capacity to change in accordance with its request. This system may have better security as well as protection for wellbeing information. Cloud suppliers are considered as exceptionally secure and ensured against protected risks utilizing managerial, physical and specialized techniques actualized and kept up by master proficient staff.
It offers advanced security controls, including information encryption and better access controls and access logging. Medicinal frameworks assembled by using cloud administrations can give online access to information, keeping away from the requirement to save the data. (Cloud Standards Customer Council, 2017).
A wide range of safety efforts, like hardware, programming, HR, as well as administration costs, are not costly when it runs on very large scale. Most cloud suppliers reproduce customer data in various areas. This can enhance data redundancy and can be a reason for system failure. The cloud supplier must reallocate security assets for separating, or encryption with a specific end goal to enhance support for security measures. As we know that the cloud computing is available to many clients. But in case when supplier can’t provide the sufficient resources, it may be a reason for security threats. In the numerous occupancies condition, the hardware devices can be reused. This can be a major reason for threat to the patient data. (Mork & Kimura, 2011).
Security is believed to be a basic occupant of cloud system w.r.t HIPPA standard and the trust of the Headspace. The Headspace venture must be given with the translucency in their operations and affirmation of security by the cloud supplier associations.
The predictive models are mainly used to analyze data as well as its outline patterns for understanding client requirements and the system that they want while likewise distinguishing potential future opportunities as well as risks.
Advantages – In its different structures—predictive modeling, decision analysis and improvement, data transaction, as well as prescient pursuit which could be connected for business methodologies as well as is the main player in marketing processes. These systems can provide managers as well as officials with better decision making to impact upselling, sales and income anticipating, fabricating streamlining, and even new item advancement.
The main desire of Headspace is to use information decision making requirement to considerable important information from the scope of its activities, and also big data is difficult to find. In spite of the possibility that an organization has enough information, critics compete in suspecting human behaviors as well as algorithms neglect to consider elements like changing condition to states of mind to connections which may affect client acquiring designs. (Georgetown University, 2017).
Prediction modelling utilizes systems like AI to make a forecast profile (calculation) from past people. The model is then “delivered” with the goal that another individual can get an expectation in a flash for whatever the need is for the patient. Predictive examination enhances the exactness of determinations. This analysis provides doctors with answers they are looking for singular patients. (Linda, A., 2014).
Adaptive approach is the approach that finds project more flexible as well as adaptable for changing the requirements in case of progression of cloud based system. This approach is utilized when the correct necessities or requirements of the clients are not surely known. A more adaptable approach is requirements that enables the arrangement to be altered as the task advances. In case of Headspace project, predictive approach will be better option. (System Analysis & Design in a changing world, n.d).
References
Chapter 8 – Approaches to System Development. System Analysis & Design in a changing world, sixth edition. Retrieved from – https://web.cerritos.edu/dwhitney/SitePages/CIS201/LectureNotesOnTalonNet/Chapter08Lecture.pdf
Goldsmith, R., F. (2017). Differentiating between Functional and Nonfunctional Requirements. Retrieved from – https://searchsoftwarequality.techtarget.com/answer/Differentiating-between-Functional-and-Nonfunctional-Requirements.
Hosono, S. & Hara, T. (2010). Prioritizing Service Functions with Non-Functional Requirements. Retrieved from – https://www.ep.liu.se/ecp/077/017/ecp10077017.pdf
Hu, Y. (2014). Electronic Medical Records (EMR). Retrieved from – https://www.bth.se/people/yhx.nsf/attachments/Lic%20(V5)_pdf/$file/Lic%20(V5).pdf
Impact of Cloud Computing on Healthcare Version 2.0. Cloud Standards Customer Council (2017). Retrieved from – https://www.cloud-council.org/deliverables/CSCC-Impact-of-Cloud-Computing-on-Healthcare.pdf
Kaur, H. & Ahamad, S. (2015). A Case Study upon Non-functional Requirements of Online Banking System. International Journal of Computer Applications Technology and Research Volume 4– Issue 4, 220 – 225, 2015, ISSN:- 2319–8656. Retrieved from – https://ijcat.com/archives/volume4/issue4/ijcatr04041002.pdf
Linda, A. (2014). Seven ways predictive analytics can improve healthcare. Retrieved from – https://www.elsevier.com/connect/seven-ways-predictive-analytics-can-improve-healthcare
Md. Rahman, M. & Ripon, S. (2013). Elicitation and Modeling Non-Functional Requirements – A POS Case Study. International Journal of Future Computer and Communication, Vol. 2, No. 5, October 2013. Retrieved from – https://www.ijfcc.org/papers/211-S037.pdf
Mork, P. & Kimura, E. (2011). Opportunities and Challenges of Cloud Computing to Improve Health Care Services. Journal Med Internet Res. 2011 Jul-Sep; 13(3). Retrieved from – https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3222190/
Pros and Cons of Predictive Analysis. Georgetown University (2017). Retrieved from – https://scsonline.georgetown.edu/programs/masters-technology-management/resources/pros-cons-predictive-analysis
Requirements Specification. Usability & Web Design Services (2015). Retrieved from – https://www.usabilityfirst.com/about-usability/requirements-specification
Stantchev, V. & Palacious, R., C. (2014). Cloud Computing Based Systems for Healthcare. The Scientific World Journal Volume 2014, Article ID 692619, 2 pages
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