DNP 805 Emerging Technologies
Grand Canyon University DNP 805 Emerging Technologies-Step-By-Step Guide
This guide will demonstrate how to complete the DNP 805 Emerging Technologies assignment based on general principles of academic writing. Here, we will show you the A, B, Cs of completing an academic paper, irrespective of the instructions. After guiding you through what to do, the guide will leave one or two sample essays at the end to highlight the various sections discussed below.
How to Research and Prepare for DNP 805 Emerging Technologies
Whether one passes or fails an academic assignment such as the Grand Canyon University DNP 805 Emerging Technologies depends on the preparation done beforehand. The first thing to do once you receive an assignment is to quickly skim through the requirements. Once that is done, start going through the instructions one by one to clearly understand what the instructor wants. The most important thing here is to understand the required format—whether it is APA, MLA, Chicago, etc.
After understanding the requirements of the paper, the next phase is to gather relevant materials. The first place to start the research process is the weekly resources. Go through the resources provided in the instructions to determine which ones fit the assignment. After reviewing the provided resources, use the university library to search for additional resources. After gathering sufficient and necessary resources, you are now ready to start drafting your paper.
How to Write the Introduction for DNP 805 Emerging Technologies
The introduction for the Grand Canyon University DNP 805 Emerging Technologies is where you tell the instructor what your paper will encompass. In three to four statements, highlight the important points that will form the basis of your paper. Here, you can include statistics to show the importance of the topic you will be discussing. At the end of the introduction, write a clear purpose statement outlining what exactly will be contained in the paper. This statement will start with “The purpose of this paper…” and then proceed to outline the various sections of the instructions.
How to Write the Body for DNP 805 Emerging Technologies
After the introduction, move into the main part of the DNP 805 Emerging Technologies assignment, which is the body. Given that the paper you will be writing is not experimental, the way you organize the headings and subheadings of your paper is critically important. In some cases, you might have to use more subheadings to properly organize the assignment. The organization will depend on the rubric provided. Carefully examine the rubric, as it will contain all the detailed requirements of the assignment. Sometimes, the rubric will have information that the normal instructions lack.
Another important factor to consider at this point is how to do citations. In-text citations are fundamental as they support the arguments and points you make in the paper. At this point, the resources gathered at the beginning will come in handy. Integrating the ideas of the authors with your own will ensure that you produce a comprehensive paper. Also, follow the given citation format. In most cases, APA 7 is the preferred format for nursing assignments.
How to Write the Conclusion for DNP 805 Emerging Technologies
After completing the main sections, write the conclusion of your paper. The conclusion is a summary of the main points you made in your paper. However, you need to rewrite the points and not simply copy and paste them. By restating the points from each subheading, you will provide a nuanced overview of the assignment to the reader.
How to Format the References List for DNP 805 Emerging Technologies
The very last part of your paper involves listing the sources used in your paper. These sources should be listed in alphabetical order and double-spaced. Additionally, use a hanging indent for each source that appears in this list. Lastly, only the sources cited within the body of the paper should appear here.
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Sample Answer for DNP 805 Emerging Technologies
Advancements in the health care field are occurring tremendously due to technological innovations, science integration into patient care, and other quality-driven interventions. Accordingly, health care practitioners are encouraged to take advantage of emerging technologies to improve patient outcomes. Since these technologies are progressively developing, health care practitioners should adequately understand their threats to avoid patient harm. Nurse informaticists should also help their organizations to embrace technologies ethically and professionally. The purpose of this paper is to describe an emerging technology with the potential to overcome barriers to care.
Overview of the Technology
As health care delivery continues to be more data-driven, the application of artificial intelligence (AI) has increased proportionately. In the clinical environment, AI denotes the potential of computer applications to perform human tasks. Accordingly, AI can replace or supplement health care providers in accomplishing routine clinical functions. According to Davenport and Kalakota (2019), AI represents multiple technologies in the health care field, including machine learning, natural language processing, and rule-based expert systems. AI can improve access to care by making services available to patients without primarily relying on the availability of nurses and other clinicians. For instance, AI has been effective in the analysis of diagnostic imagery, rad
iation oncology, and dermatology. Machine learning has also gained relevance in detecting diabetic retinopathy (Guo & Li, 2018). AI’s precision, high speed, and accuracy are integral in enhancing patient safety and ensuring patients get the highest possible care possible. Generally, AI has improved the quality of diagnosis by reducing diagnostic errors. Importantly, it is also consistent in diagnosis, further underlining its critical role in improving patient safety and care quality.
Ethical Issues Accompanying AI’s Incorporation
The widespread use of AI in health care encounters numerous ethical barriers, limiting its effectiveness. Among many ethical issues, transparency, accountability, and privacy concerns should be effectively addressed. As Davenport and Kalakota (2019) observed, some deep learning algorithms for image analysis are challenging to interpret or explain. The implication is that patients might not get adequate information about their ailments. The potential of AI being implemented by private entities raises concerns about obtaining, using, and protecting patients’ private data (Murdoch, 2021). Concerning accountability, there is no one to hold accountable for mistakes that AI systems make. Such issues continue to hamper patient experience with care and general satisfaction.
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Nurse’s Informatics Role Regarding AI
Nursing informatics is the foundation of technology and science integration into patient care. Consequently, the primary nurse’s informatics role in regard to AI is to promote its safe and effective use. According to Kwiatkoski (2021), nurses with an informatics role should guide their organizations in implementing, maintaining, and optimizing collaboration between providers. As educators and technology promoters in patient care, nurses should ensure that ethical issues hampering AI are effectively addressed. They should also collaborate with other professionals to identify AI-related trends, support patient data analysis, and optimize workflows.
Role of Workflow Analysis, Human Factors, and User-Centered Design Concepts
Technology type determines systems and applications that health care organizations should utilize to support it. According to Letourneau-Guillon et al. (2020), successful implementation of AI workflow applications requires organizations to have a robust and integrated informatics infrastructure. Human factors include attitude to technology and technological competency among health care practitioners. User-centered design is crucial to encourage the use of systems that apply AI. In this case, health care facilities should ensure that they have the appropriate infrastructure and technical expertise for effective AI integration into patient care.
Conclusion
Health care technology improves critical outcomes such as efficiency, effectiveness, and accuracy of patient care. AI has increasingly become pivotal in diagnosis and other crucial care aspects of care. Nurses should embrace it as health care delivery evolves in multiple dimensions. However, they should be aware of ethical issues hampering outcomes and develop mechanisms to address them appropriately.
References
Davenport, T., & Kalakota, R. (2019). The potential for artificial intelligence in healthcare. Future Healthcare Journal, 6(2), 94–98. https://doi.org/10.7861/futurehosp.6-2-94
Guo, J., & Li, B. (2018). The application of medical artificial intelligence technology in rural areas of developing countries. Health Equity, 2(1), 174–181. https://doi.org/10.1089/heq.2018.0037
Kwiatkoski, T. (2021). Nursing informaticists are the backbone of technology-driven care. ONSVOICE. https://voice.ons.org/news-and-views/nursing-informaticists-are-the-backbone-of-technology-driven-care
Letourneau-Guillon, L., Camirand, D., Guilbert, F., & Forghani, R. (2020). Artificial intelligence applications for workflow, process optimization and predictive analytics. Neuroimaging Clinics, 30(4), e1-e15. https://doi.org/10.1016/j.nic.2020.08.008
Murdoch, B. (2021). Privacy and artificial intelligence: challenges for protecting health information in a new era. BMC Medical Ethics, 22(1), 1-5. https://doi.org/10.1186/s12910-021-00687-3
Sample Answer 2 for DNP 805 Emerging Technologies
One of the emerging technologies that the author believes will have a significant impact on barriers to healthcare is the Internet of Medical Things (IoMT). Accordingly, IoMT refers to medical infrastructure that consists of software, sensors, healthcare IT systems and medical devices that are utilized in medical monitoring, testing, as well as diagnostics. The use of this infrastructure can help the healthcare provider a well as the patient to monitor and inform them on the actual data on potential issues that could result in health problems. Through it, potential health problems are averted before they occur (Balas et al., 2019). An example is the use of skin sensors for blood glucose where diabetic patients are installed with sensors that monitor their blood glucose levels. The sensors notify the patient and healthcare provider incidences of low or high blood glucose levels and the need for an immediate action. In some cases, the sensors deliver insulin depending on the blood glucose levels. Through this mechanism, health problems such as diabetic coma and hypeglycemia and prevented prior to their occurrence in patients suffering from diabetes.
The other way in which the technology could function in healthcare is the management of health problem that affect the elderly populations. The elderly are at a risk of problems such as cardiovascular, renal, and respiratory and memory loss problems. The technology proves significant to these populations. For instance, sensors can be used to monitor their blood pressure and immediate actions taken in case of any deviations from the normal range (Stegemann, 2016). Similarly, they can be used to monitor their adherence to medication and notifications sent to them in cases where they forget their medical regimen.
The use of IoMT technology in health is however associated with some legal and ethical issues. One of them is the issue of privacy. Scholars argue that the use of such emergent technologies might violate one’s right to privacy. The system information can be accessed by third parties, thereby, weakening their use in the modern world. The other issue is safety concern. The long-term effects of the monitors are yet to be established. There is the concern that too much monitoring might be unhealthy as it raises individual focus on slight health issues that might be of less concern to them (Keramidas, Voros & Hübner, 2017). Therefore, these issues need to be addressed for the emerging technologies to be relevant in the modern practice of healthcare.
IoMT will improve access to care and patient safety in several ways. Firstly, it ensures that the patient and healthcare provider interact constantly on healthcare issues affecting them. The healthcare provider will always be in contact with the patient in case of a notification of an impending health problem (Le et al., 2018). The access to care is also enhanced due to the efficiency in which decisions are made. The easy availability of the patient’s data ensures that healthcare providers can collaborate with ease in determining the healthcare needs of the patients. The monitoring of the patient’s physiological status also promotes safety since health problems are identified before they occur. Besides, incidences of poor adherence to treatment are identified earlier, which leads to minimal occurrences of complications associated with the conditions being managed (Vermesan & Bacquet, 2017). Therefore, it makes it apparent that emerging technologies such as IoMT will eliminate barriers that affect the quality, access, and safety of care given to those in need in the society.
References
Balas, V. E., Solanki, V. K., Kumar, R., & Ahad, A. R. (2019). A handbook of internet of things in biomedical and cyber physical system. Cham: Springer.
Keramidas, G., Voros, N., & Hübner, M. (2017). Components and services for IoT platforms: Paving the way for IoT standards. Cham: Springer.
Le, D.-N., Le, C. V., Tromp, J. G., Nguyen, N. G., & Wiley InterScience (Online service). (2018). Emerging technologies for health and medicine: Virtual reality, augmented reality, artificial intelligence, internet of things, robotics, industry 4.0. Beverly, MA: Scrivener Publishing.
Stegemann, S. (2016). Developing drug products in an aging society: From concept to prescribing. Cham: Springer International Publishing.
Vermesan, O., & Bacquet, J. (2017). Cognitive hyperconnected digital transformation: Internet of things inteligence evolution. Delft: River Publishers.