VOIP and Its Usage in Medical Alert Systems - Dissertation Example

It is said that in the wake of such levels of debate and discussion among researchers, it is always useful to introduce a new paradigm that would serve as an alternative. Voice over internet protocol (VoIP) has been found to be a new technology that most IT projects would want to use in the provision of communication services. This is largely due to the level of reliability associated with the service output of VoIP. The study, therefore, took advantage to introduce a paradigm shift in medical alert systems by using VoIP instead of POTS.

This was done through the development of medical software that was called the VoIP medical alert system. Medical alert service is subsequently analyzed in this paper as a customized and integrated work activity, using emergency medicine as a theoretical framework. Medical alert service is regarded in the paper as an emergency response scheme that demands that medical care reach service users in an emergency within the shortest timeframe. But for this to be achieved, the need to have a reliable and efficient communication system to link up to the medical alert service was necessary.

Information systems theory was thus used as an activity theory to guide the development and introduction of the VoIP medical alert system at the St Theresa Hospital. From the results of the study, it is argued that VoIP medical alert system is a more effective and efficient system in providing medical emergency services. I hereby certify that this dissertation constitutes my own product, that where the language of others is set forth, quotation marks so indicate, and that appropriate credit is given where I have used the language, ideas, expressions, or writings of another.

A number of people played very instrumental roles in the completion of the current research. For various roles in which they supported me morally, spiritually, intellectually, and logistically, I would like to express a depth of gratitude to I would like to thank Dr.Yongge Wang (my dissertation advisor) for his support throughout this dissertation. I would like to thank my family for their continuous support and the University of Toronto. Finally, all respondents who dedicated their time to answering interview questions during the primary data collection.