PROPOSAL 6
Running Head: PROPOSAL 1
The Future of Nursing
Monica Loayza
Keiser University
ENC2102 English Composition II
Professor Airin Miller
07/17/2021
Introduction
This proposal will argue that nurses and other healthcare professionals should embrace telemedicine. Data-driven research and its offshoots in knowledge engineering and the larger emperical of artificial intelligence have the prospective to revolutionize health. Since its inception, AI has enabled several approaches for decision assistance and prediction, as humans often make them (Lovis, 2019). Telemedicine services can help patients remain at home when they are unwell by replacing face-to-face appointments with virtual meetings or phone calls. Patients’ vital indicators, such as blood pressure or heart rate, can also be sent to telemedicine nurses, who can then monitor them at home. It is convenient because telemedicine allows medical professionals such as nurses to move between patients more quickly and patients to attend appointments from the comfort of their own homes (Güler & Übeyli, 2002). I think that the right action should be to implement and embrace telemedicine in our hospitals.
While several nursing boards and the technology department in healthcare object to the idea of telemedicine services, electronics poses challenges, such as limited physical examination and expensive telemedicine technology, equipment, preservation of data, and privacy.
Counterargument
As challenges exist in telemedicine services, health care workers must understand the potential uses of these technologies and their usefulness in the appropriate situations. It is also critical that computer and telecommunications technicians and scientists learn to collaborate with individuals in the health care sector and teach them about these possibilities while simultaneously learning about the technology with which theirs will be integrated (Lin, 2012). While these difficulties are challenging, they are surmountable with the collaboration of health care professionals, technological experts, and governments (Bellini et al., 2020). Such cooperation is essential for telemedicine to realize its promise to enhance health care. The telecommunications infrastructure offers the technology to electronically transfer information between geographically separated sites (Bellini et al., 2020).
Audience
The audience will be the nursing board and the healthcare department, who can object to or embrace telemedicine services in healthcare. They are the ones who are in charge of delivering and facilitating nursing care in home settings via the use of information technology. They are mostly equipped with the knowledge and understanding of how well these services are beneficial to patients; therefore, they are the only ones to solve the problem. Despite the challenges, the question I would like to pose to my audience is, “is it worth it to forego all the benefits of telemedicine just because of a few challenges?” They should find ways to make telemedicine work, such as equipping themselves with the necessary knowledge, improving awareness, and investing in technology. There are more advantages than disadvantages in the long haul. Güler & Übeyli (2002) found that telemedicine may be used for real-time decision making, distant sensing, and collaborative preparations for minor patient care.
Strategy
As a student with a career in nursing, I am fully aware of the challenges experienced in remote and rural areas regarding the delivery of healthcare services. Emerging economies confront unique challenges in providing medical care due to a lack of resources, facilities, and processes. Infrastructure is insufficient, and patients are frequently transported with difficulty (Lin, 2012). Telecommunications can help nations with limited medical competence or resources solve some of these issues. Furthermore, those living in isolated or rural areas have restricted access to basic medical treatment Telemedicine is one method for delivering more and better health care to such remote places across the world (Güler & Übeyli, 2002). Mobile telemedicine is more than just a platform for transmitting biomedical signals; it is also a tool that helps doctors overcome time and distance restrictions to improve medical services (Lin, 2012).
Research
My research approach is to form an argument with opposing views to the context of telemedicine in that nurses and other healthcare professionals should embrace telemedicine. The method used will also be to brainstorm the key ideas of the topic. From the massive results from the search, I focused solely on artificial intelligence and telemedicine. From the Keiser University Library Database, I will use nursing databases to provide detailed and fuller results for the research. Potential sources that will be used to form a persuasive argument include the following sources:
Bellini, V., Guzzon, M., Bigliardi, B., Mordonini, M., Filippelli, S., & Bignami, E. (2020). Artificial intelligence: a new tool in operating room management. Role of machine learning models in operating room optimization. Journal of medical systems, 44(1), 1-10.
Güler, N. F., & Übeyli, E. D. (2002). Theory and applications of telemedicine. Journal of medical systems, 26(3), 199-220.
Lin, C. F. (2012). Mobile telemedicine: A survey study. Journal of medical systems, 36(2), 511-520.
Lovis, C. (2019). Unlocking the power of artificial intelligence and big data in medicine. Journal of medical Internet research, 21(11), e16607.
The keywords in my research:
telemedicine
Artificial intelligence
Remote
Telecommunication
challenges in healthcare
improve healthcare
References
Bellini, V., Guzzon, M., Bigliardi, B., Mordonini, M., Filippelli, S., & Bignami, E. (2020). Artificial intelligence: a new tool in operating room management. Role of machine learning models in operating room optimization. Journal of medical systems, 44(1), 1-10.
Güler, N. F., & Übeyli, E. D. (2002). Theory and applications of telemedicine. Journal of medical systems, 26(3), 199-220.
Lin, C. F. (2012). Mobile telemedicine: A survey study. Journal of medical systems, 36(2), 511-520.
Lovis, C. (2019). Unlocking the power of artificial intelligence and big data in medicine. Journal of medical Internet research, 21(11), e16607.
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