Evaluation of Vendor Selection for Cloud-based Development of Online Health Record System
Discuss about the Vendor For Deploying The Cloud Based Technology.
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The common wealth government of Australia is focusing on the launch of online health record system. This system is capable of storing health records information of the Australians so that they can get effective and instant treatment according to their requirement. It helps in increasing the efficiencies in providing effective treatment to the patient by the healthcare centres. The admissions of the patient in the hospitals can be effectively reduced by providing instant treatment in their home care centre. It helps in reducing the cost incurred on the medical treatment. The government is looking for the best effective ICT technology and solutions which helps in developing online health record system for the citizen of Australia to provide instant treatment according to their requirement. In this paper, we will focus on the strategy followed for the evaluation of vendor selection that is effective in deploying cloud based technology for the development of online health record system.
The aim of the project is to adopt the methodology which is effective in the selection of the vendor for deploying the cloud based technology to develop a working model for the implementation of online health record system.
The valuation of the vendor selection process is comprised of several features and services provided by them in the deployment of the cloud model. The vendor who meets the selection criteria will be preferred choice for the management of the vendor. It helps in differentiating the services provided by the three vendors which are taken under consideration for the deployment of cloud based technology for the development of online health record system.
Vendor 1:
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The vendor 1 is capable of providing following features and services in the cloud model developed for the installation of the online health record system.
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Vendor 1
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Flexibility in the cloud model
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The cloud model which is developed by the vendor 1 is capable of handling expansion of the services and functions provided by the online health record system due to the scalability and flexibility of the proposed model
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Providing the cloud model for the trial basis
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The vendor is providing the offer of managing the cloud model for the development of the health record system for the trial basis so that Australian common wealth government can analyse the benefits and drawbacks of the new design model.
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Ability to interact with the other functional modules
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The proposed model is capable of managing the interactive relationship with the functional modules of the other application which helps in managing the effective communication and proper functioning of the cloud model
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Cost
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The vendor proposes a cost effective cloud model which is under budget of the government
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Security
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Security is the major concern for deploying the effective cloud model in the working organization. The vendor provides effective security procedures for increasing the capability of the system to protect itself from the third party attack and unauthorised accessing of the information.
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Compatibility of the mobile application
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The vendor provides the compatibility of the cloud model with the mobile application which helps in increasing the growth of the patients connected with the online My Health Record System.
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Vendor 2:
The vendor 2 is capable of providing following features and services in the cloud model developed for the installation of the online health record system.
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Vendor 2
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Effective security Architecture
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The model proposed by vendor 2 is having high security credentials which make use of effective security procedures such as encryption technology, hash value algorithm, and public key infrastructure.
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Remodelling of the processes and database management system used for My health record system
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It focuses on the transformation of the processes and database management system for increasing its efficiency in handling data records of the patients.
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Inclusion of Hadoop File System and Map Reduce Technology
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The Vendor 2 proposes a cloud model which makes use of Hadoop file system and map reduce technology for handling the health record data of the patients. The excessive amount of big data of medical health records can be effectively handled by using the new architecture of the database system which is composed of Hadoop file structure.
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Backup and recovery system
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It provides the effective backup and recovery system for managing and restoring the health record data of the patients in time of emergency.
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Cost
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It offers the services at much lower cost
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Maintenance service
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It provides the maintenance service after the delivery of the cloud based architecture for the development of online health record system
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Vendor 3:
The vendor 2 is capable of providing following features and services in the cloud model developed for the installation of the online health record system.
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Vendor 3
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Providing the cloud model for the trial basis
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The vendor is providing the offer of managing the cloud model for the development of the health record system for the trial basis so that Australian common wealth government can analyse the benefits and drawbacks of the new design model (Tahriri, Osman, Ali, Yusuff, 2014).
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Service Level Agreement
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The vendor focuses on managing service level agreement for providing the effective and quality service for the development of the cloud model
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Cost
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The cost of the proposed cloud model is higher than the other two vendors
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Security
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The model proposed by vendor 3 is having high security credentials which make use of effective security procedures such as encryption technology, hash value algorithm, and public key infrastructure (Kuo, and at.el., 2012).
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Training and Development program
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It provides a training and development program for the employees to made them compatible with the working model of the cloud based technology
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Maintenance service
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It provides the maintenance service after the delivery of the cloud based architecture for the development of online health record system
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The vendor 2 is the most suitable choice for the deployment of the cloud based model for the development of online my health record system because it provides the effective Hadoop file structure which is capable of handling the records of millions of patient effectively at much lower cost (Boyinbode and Toriola, 2015).
The deployment of the cloud model in the development of online application for saving patients health records on the network helps in providing medical services and facilities from the remote location in time of emergency (Mukherjee, 2014). The patients can get instant treatment in the emergency situation which helps them to come out of danger situation. The workload of the nursing homes can be effectively managed by providing home care treatment to the patients. The doctors from the remote locations can look into the patients record simultaneously which helps in providing effective treatment and prescriptions (Ullah, 2012). The following diagram shows the implementation of the cloud model in the development of electronic health record system for the Common Wealth Government of Australia.
Strength and Weaknesses of the cloud model in My health record system:
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Strength
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Weaknesses
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The effective centralization system can be prepared in the much lower cost
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Security is the major concern for storing confidential information of the patient on the cloud network
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The negligible amount of infrastructural changes are required in the deployment of cloud based model in developing working model of Online health record system
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Modification and manipulation in the patient records can results in the wrong treatment which increases the risks of death and abnormalities in the patient health
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The patients can get instant treatment in the emergency situation which helps them to come out of danger situation.
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It requires high speed broad band connectivity
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The workload of the nursing homes can be effectively managed by providing home care treatment to the patients.
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It works on the data accuracy and privacy principles
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The doctors from the remote locations can look into the patients record simultaneously which helps in providing effective treatment and prescriptions (Pardamean, and Rumanda, 2014).
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Large amount of patient health record data can be effectively handled
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It promotes green technology
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Effective distribution of medical resources, equipment, and information
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The following tables shows the clear demonstration of predictive SDLC approach and Adaptive SDLC approach which is used for implementing the cloud based model in the the deployment of Online health record system.
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Particulars
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Predictive SDLC
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Adaptive SDLC
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Definition
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Predictive SDLC is used when the outcome of the proposed project are known. It follows the linear approach for the development of the project. It is based on the waterfall methodology (Bhuvaneshwari, and Prabharan, 2013)
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Adaptive SDLC is used when the outcome of the proposed project are not known. It provides the flexibility to the working model of the project. It works on the fundamental of agile methodology (Adebayo, and at.el., 2014)
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Advantages
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It is cost effective
Effective development of requirement specification plan
Proper Documentation
Testing of the SDLC phases
Completion of the project within time
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It helps in providing new opportunities to the existing system according to the change in requirement of the customers. T focuses on managing the effective communication between the client and the vendor so that the expectation of the client can be satisfied to its full extent
It helps in bringing transparency in the working process
It provides high quality software
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Disadvantages
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Complex project
No change in the requirement specification plan
No addition of features and functions
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It is the time consuming model
It is based on user involvement
Testing at every phase is difficult
Lesser documentation for future reference
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The Adaptive SDLC approach is the preferred choice for the development of online health record of the patients because it requires an extensive involvement of the Australian government to develop an effective My Health record model according to their requirement.
References
Bhuvaneshwari, T., and Prabharan, S. (2013). A survey of software development life cycles model. 1st ed. Retrieved from https://www.ijcsmc.com/docs/papers/May2013/V2I5201384.pdf
Adebayo, A., Aderonke, J., Robert, S., Alli, O. (2014). An enterprise cloud based electronic health records system. 1st ed. Retrieved from https://jcsitnet.com/journals/jcsit/Vol_2_No_2_June_2014/3.pdf
Pardamean, B., and Rumanda, R. (2014). Integrated model of cloud based E-Medical Record for health care organization. 1st ed. Retrieved from https://pdfs.semanticscholar.org/a38b/7ea3afcbf6cfa7b77ec8eca126066e0cdd1c.pdf
Boyinbode, A., Toriola, G. (2015). Cloud MR: A cloud based electronic medical record system. 1st ed. Retrieved from https://www.sersc.org/journals/IJHIT/vol8_no4_2015/23.pdf
Ullah, M. (2012). Comparison and problems between traditional and Agile software development. 1st ed. Retrieved from https://www.doria.fi/bitstream/handle/10024/101783/Meharullah%20thesis%20document.pdf?sequence=2
Mukherjee, K. (2014). Supplier Selection criteria and methods: Past present and future. 1st ed. Retrieved from https://mpra.ub.uni-muenchen.de/60079/2/MPRA_paper_60079.pdf
Tahriri, F., Osman, M., Ali, A/. Yusuff, R. (2014). A review of supplier selection methods in manufacturing industries. 1st ed. Retrieved from https://www.researchgate.net/publication/242282372_A_review_of_supplier_selection_methods_in_manufacturing_industries
Kuo, M., Guo, Y., Sahama, T. (2012). Cloud computing for health care research information sharing. 1st ed. Retrieved from https://www.researchgate.net/publication/262154576_Cloud_computing_for_healthcare_research_information_sharing
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