Discuss about the System analysis and Design for Headspace Project.
Following are the non-functional requirements for the headspace project.
Usability of the system: The developed system will provide ease of use for its different users such as physicians, patients and administrators at the health care facilities. Example of such usability incudes, the ease of navigation to the different web pages of the online patient record system in four clicks or less than that.
Reliability of the system: This is about the degree and level of the system uptime that is required for the better performance and execution of the different operations dependent on the developed information system for the patients (Weaver et al., 2016). It is desired that, the developed online patient record system will have periodical redundant backups that will allow near about 99.5 percent uptime of the information system.
Performance: This requirement is about how well the developed online patient health record system works for the different end users requirement in measurable parameters and degrees (Kho et al., 2015). This degrees includes response time of the system against some user service request, capacity and different other parameters.
Scalability of the system: The system’s ability to respond and increase the number of end users requests or interactions with the other applications used with the developed system is known as the scalability of the system. For this proposed system it is desired that the system can be scaled to 50% of the present capacity (the number of users).
Security: As the system will be responsible for storing the patient’s sensitive personal and physical health data thus it is desired to provide data integrity, confidentiality availability of the data round the clock while maintaining the compliance with the different legal clause and regulations (Woods et al., 2013). It is expected that, the system will store the activity log all users’ access (doctors, users) at least for 6 months so that if anything goes wrong the accountability of the accident can be confirmed.
The developed online health record system must provide intense level of information validation as well as error correction in real time (Weaver et al., 2016). The system must confirm that patient data is accessed by other users only after the patient has allowed access to the user.
The developed system must affirm and support (such as images, doc files, text files or different other types medical documents and files) all the patient information entered in the system. End users (patients, therapeutic specialist and employees at the health care facilities) must be instructed and informed about any error regarding the different operations over the period of using the developed online patient health record system (Kho et al., 2015). Only the administrators or higher level system users are allowed to delete records in the database, and the structure should have the capacity to include new functionalities according the requirement of the users in future.
Critical system qualities: For the On line health record system following are the critical system qualities,
User interface requirement: For an information system the user interface of the system is the medium through which the users interact with the system, thus it is important that the user interface is intuitive in nature as well as easy to use.
System constraint: Following are the constraints that may be faced in the development of the online health record system are
The cloud based solution has been seen as a suitable alternative to the traditional online health record systems as it provides a cost effective way to deploy and maintain the system and its administrations. Such as management of data, storage of the collected data, and resources required for computing and processing of this data (Kho et al., 2015). In addition to that it also provides the features like reliability, portability, elasticity and scalability conveyed by cloud service providers. With all this advantages Security and protection of the stored data have raised challenges for the selection of cloud-based online health record systems.
Utilization of the cloud services in order to manage the patients’ health information makes it more productive to deal with the developing measure of patients’ information and data created through the electronic and individual health records frameworks by utilizing the cloud based health Record System. Different complexities in the administration of the patients information can be seen from the point of view of required storage store collected data and the number of the servers expected to process these tremendous amount of information of the patients (Woods et al., 2013). The utilization of the cloud based online Health solution record will encourage the employees of the health care facility, physicians and patients to utilize handheld smartphones to get to the health care services from anywhere at any time.
In spite of the potential advantages of online health record systems, actualization of the cloud based patient record system can face multiple obstacles and limitations. Most of which the area; initial cost for the deployment, specialized restrictions, institutionalization limits, and authoritative limitations.
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As the development of online patient health record system is an evolving project that faces changes in different stages thus it is suggested to use ‘Adaptive’ development approach. The approach proposes to separate the system development project into smaller parts over an expanded period of time to allow extraordinary adaptability in planning of the project. This approach additionally helps in the satisfying every requirement from the numerous stakeholders of the project. Along these lines as the advancement of My Health Record is an intricate venture including different sorts of partners in this way the Adaptive approach will be reasonable for this undertaking.
The adaptive approach is a considered as organized process for tirelessly enhancing project development decisions, organization methodologies. This approach includes the major standards of project administration. For instance, iterative methodology and inventive business conditions can help in better tracking and execution of the different smaller activities of the project. In this manner, adaptive approach used in this specific project incorporates the dynamic use of quantitative approaches to evaluate project tasks execution. The iterations of the project tasks can help in the improvements and addition of functionalities to the previously developed system.
References
Adler-Milstein, J., DesRoches, C. M., Kralovec, P., Foster, G., Worzala, C., Charles, D., … & Jha, A. K. (2015). Electronic health record adoption in US hospitals: progress continues, but challenges persist. Health Affairs, 10-1377.
Dinev, T., Albano, V., Xu, H., D’Atri, A., & Hart, P. (2016). Individuals’ Attitudes Towards Electronic Health Records: A Privacy Calculus Perspective. In Advances in Healthcare Informatics and Analytics (pp. 19-50). Springer International Publishing.
Kho, A. N., Cashy, J. P., Jackson, K. L., Pah, A. R., Goel, S., Boehnke, J., … & Malin, B. A. (2015). Design and implementation of a privacy preserving electronic health record linkage tool in Chicago. Journal of the American Medical Informatics Association, ocv038.
Krist, A. H., Beasley, J. W., Crosson, J. C., Kibbe, D. C., Klinkman, M. S., Lehmann, C. U., … & Peterson, K. A. (2014). Electronic health record functionality needed to better support primary care. Journal of the American Medical Informatics Association, 21(5), 764-771.
Weaver, C. A., Ball, M. J., Kim, G. R., & Kiel, J. M. (2016). Healthcare information management systems. Cham: Springer International Publishing.
Woods, S. S., Schwartz, E., Tuepker, A., Press, N. A., Nazi, K. M., Turvey, C. L., & Nichol, W. P. (2013). Patient experiences with full electronic access to health records and clinical notes through the My HealtheVet Personal Health Record Pilot: qualitative study. Journal of medical Internet research, 15(3), e65.
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