Tele-Health Project

Introduction

Tele-health system is very much beneficial for measuring blood pressure, weight and many more by the patients. This assignment covers mobile and cloud based solution of Tele-health system, data security in cloud computing, non-functional requirement of the system. The assignment also discusses both the adaptive and predictive approach of SDLC system for the development and implementation of Tele-health system.

Mobile and Cloud Based Solution

The framework of telemedicine versatile is integrated within different frameworks such as framework of satellite telemedicine, short-range telemedicine and cell telemedicine framework. Short-range telemedicine is one whose materialness depends upon separation rate of transmission (Kizony et al., 2013). The framework of telemedicine works palatably in different zones like remote zones, maritime and uneven zones and deserts. The framework of telemedicine can also be introduced in different airship.

 As far as the restorative as well as human services are utilized, Smartphone application offers various moment accesses for media data, which includes number, crunchers, prescription database and relevant news redesign (Raad et al., 2015). The information that are collected with the help of Smartphone can be transferred to the restorative staff with the help of GPRS in order to protect sites for providing simple Tele-monitoring and Tele-consultation. Cell phones help in adding possibility as well as accessibility in maxillofacial and oral surgery.

Data Security in Cloud Computing and Mobile

 The mobile cloud computing consists of number of advantages, though it have some issues and challenges. The issues include:

Data ownership: Cloud computing provides the opportunity to string all the digital files and the personal data (Steventon et al., 2015). The consumers are always in a threat of losing access over the purchased data. In order to understand the different rights of purchase, the user can be able to avoid the problem of losing authentication for purchasing data.

Privacy: Privacy is the most important challenge in terms of cloud computing. In order to store the information of a user, some of the applications take the help of cloud computing (Weiss et al., 2012). Therefore, the third party, which helps in handling cloud storage application, helps in accessing the data without having proper authorization from the user.

Data and other security issues: The rate of theft is high as most of the devices are unprotected.

Non-Functional Requirement

Usability

Usability suggests that the users of the Tele-health system will get all the services that they get with the help of the traditional healthcare interaction. The system must be responsive in nature so that the patients can access as well as use the system for providing proper clinical result and thus it helps in reducing the clinical cost of the system (Gorst  et al., 2015). The applications must be developed in such as way that the people living in rural areas or the old people can access the system in order to increase the usability of the system.

Reliability

 The reliability of the system depends on the guidance that is provided by the system to its users and it depends on the recovering rate of the errors (Davey et al., 2014). Example: If a user presses wrong button then the system must have some recovery or back track system. Reliability and validity is very much important for essential transmission of data for the safety of the patients.

Performance

 The performance rate of the system is measured by the interface quality of the system and the patients (Cartwright et al., 2013). The performance is related with the satisfaction of the patients and their willingness to use the system in the future.

Security

In the development of Tele-health based software, the most important aspect is security (Parmanto et al., 2013).The most significant task is to save the data, records and personal information of the patients safe from the outside intruders.

Review of Cloud Based Solution

Strengths

The use of cloud computing helps in providing a readymade platform to the software and thus it helps in reducing the time for the creation and development of the software. The main advantage of cloud-based platform over the traditional servers is that the cloud based servers uses the resources of the computer efficiently and thus it helps in saving the energy consumption (Henderson et al., 2013).The cost that rose for the maintenance and development of the database is much higher than adopting a cloud-based system. The users can use the software and make interaction in a less time and thus it would help in increasing the efficiency of the software.

Weakness

The main disadvantage or the weakness of the cloud based Tele-health is that the users does not have a trust on the system due to security issue. The people become more conscious when they come to know that the data provided by them moves to cloud platform and thus it act as a cultural resistance in them (Kasckow et al., 2014).In some cases, the cloud service provider does not allow the clients or users to audit the data. The lack of governance of the data has a negative effect on the user strategy and the capacity to meet the targets of the associated mission. Finally, if a Tele-health system cannot meet the necessary compliance norms like regulation or contracts then the investment made by the customers is at risk.

SDLC Approach

Approach of Tele-health Project using “Predictive” SDLC

Predictive software development life cycle model is used in Tele-health system for deploying the cloud based system platform in their system.  The predictive software development model is the waterfall model that consists of 6 phases like specification of necessity and analysis, coding, design, combination, system testing and maintenance (Nesbitt et al., 2013).If there is no difficulty in understanding the requirement of the client, then only the model can be used. In the implementation procedure of Tele-health, all the six phases of the waterfalls are understood clearly and then applied for developing the model.

Pros of Using Predictive SDLC

The main advantage of using Predictive SDLC is the use of waterfall model in the deployment process of cloud services. The model is used as it helps in making the development process simpler as well as easy to manage. The waterfall model is very much flexible and as a result it is used in deployment process (Demiris et al., 2013).The waterfall model can be easily understood by the non-technical persons as a result its implementation become easier.

Cons of using ‘Predictive’ SDLC

 The cons of using the predictive SDLC framework in the development procedure of Tele-health system is that it cannot handle the risk associated with the real-life project. The model is very much inappropriate for the development of software platform, which is very large, as the requirement is not clearly understood in large-scale projects (Parmanto et al., 2013).If any errors occurs during the development process there is no way to get back to the previous phase in order to rectify the error.

Approaching the Tele-Health Project Using ‘Adaptive’ SDLC-

 The adaptive approach is used in order to develop the cloud based Tele-health system. The adaptive method that is used is agile method that can be useful in the development of software. By using this method, the software is developed in each module (Cartwright et al., 2013).  New features are added at any time during the development procedure of software project. No new features are added after the development of the software project.

Pros of using ‘Adaptive’ SDLC

The main advantage of using the adaptive method in the development of Tele-health system is that if any change required in the development process then it can be easily added without disturbing the other parts of the cloud based system (Raad et al., 2015).  The system is very much useful in the development process of the system and if an error is identified in the project framework then it helps in discarding the error module. The accuracy of the actual software can be enhanced because there is a chance for experiment with the partially developed software. The core modules are tested number of times in order to minimize the errors in the final product.

Cons of Using ‘Adaptive’ SDLC

The mains cons of using the adaptive SDLC in the development of cloud-based Tele-health system is that the software developers faces problems during the splitting different parts of the software into independent modules (Henderson et al., 2013). More number of designers as well as experienced developers is required for the development of software product during the method.

Conclusion

It is concluded that among the two approach of the SDLC model, Adaptive approach is selected for the development of Tele-health project. This is because the software product that is produced using the method of adaptive SDLC approach is highly good at quality. If the requirement of the clients changes then the Tele-health system is modified if the approach is used in the development process. The software is developed in a less amount as the developer does not wait until the previous step is completed. It is analyzed that all the modules are developed by various team at a time.

References

Cartwright, M., Hirani, S. P., Rixon, L., Beynon, M., Doll, H., Bower, P., ... & Rogers, A. (2013). Effect of telehealth on quality of life and psychological outcomes over 12 months (Whole Systems Demonstrator telehealth questionnaire study): nested study of patient reported outcomes in a pragmatic, cluster randomised controlled trial.

Davey, S., Davey, A., & Singh, J. V. (2014). Mobile-health approach: a critical look on its capacity to augment health system of developing countries. Indian journal of community medicine: official publication of Indian Association of Preventive & Social Medicine, 39(3), 178.

Demiris, G., Thompson, H., Boquet, J., Le, T., Chaudhuri, S., & Chung, J. (2013). Older adults' acceptance of a community-based telehealth wellness system. Informatics for Health and Social Care, 38(1), 27-36.

Gorst, S. L., Armitage, C. J., Brownsell, S., & Hawley, M. S. (2014). Home telehealth uptake and continued use among heart failure and chronic obstructive pulmonary disease patients: a systematic review. Annals of Behavioral Medicine, 48(3), 323-336.

Henderson, C., Knapp, M., Fernández, J. L., Beecham, J., Hirani, S. P., Cartwright, M., ... & Doll, H. (2013). Cost effectiveness of telehealth for patients with long term conditions (Whole Systems Demonstrator telehealth questionnaire study): nested economic evaluation in a pragmatic, cluster randomised controlled trial.

Kasckow, J., Zickmund, S., Rotondi, A., Mrkva, A., Gurklis, J., Chinman, M., ... & Haas, G. (2014). Development of telehealth dialogues for monitoring suicidal patients with schizophrenia: Consumer feedback. Community mental health journal, 50(3), 339-342.

Kizony, R., Weiss, P. L., Feldman, Y., Shani, M., Elion, O., Harel, S., & Baum-Cohen, I. (2013, August). Evaluation of a tele-health system for upper extremity stroke rehabilitation. In 2013 International Conference on Virtual Rehabilitation (ICVR) (pp. 80-86). IEEE.

Nesbitt, T. S., Dharmar, M., Katz-Bell, J., Hartvigsen, G., & Marcin, J. P. (2013). Telehealth at UC Davis—a 20-year experience. Telemedicine and e-Health, 19(5), 357-362.

Parmanto, B., Pulantara, I. W., Schutte, J. L., Saptono, A., & McCue, M. P. (2013). An integrated telehealth system for remote administration of an adult autism assessment. Telemedicine and e-Health, 19(2), 88-94.

Raad, M. W., Sheltami, T., & Shakshuki, E. (2015). Ubiquitous Tele-health System for Elderly Patients with Alzheimer's. Procedia Computer Science,52, 685-689.

Steventon, A., Bardsley, M., Billings, J., Dixon, J., Doll, H., Hirani, S., ... & Rogers, A. (2012). Effect of telehealth on use of secondary care and mortality: findings from the Whole System Demonstrator cluster randomised trial. Bmj, 344, e3874.

Weiss, P. L., Kizony, R., Elion, O., Harel, S., Baum-Cohen, I., Krasovsky, T., ... & Shani, M. (2012). Development and validation of tele-health system for stroke rehabilitation. In Proceedings of the International Conference on Disability, Virtual Reality and Associated Technologies, Laval, France.

 

MyAssignmenthelp.co.uk is the most reliable and dependable academic writing service in UK. We provide specialized help for all subjects and topics under the sky, successfully delivering top-notch quality work on time without any compromise. Our expert team of experienced researchers, writers, academicians and editors has a record of providing high-quality assignment writing service. They can guide students to achieve academic success through a result-oriented approach.