Grand Canyon University NUR 514 Emerging Technology Brief – Step-By-Step Guide
This guide will demonstrate how to complete the Grand Canyon University NUR 514 Emerging Technology Brief 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 NUR 514 Emerging Technology Brief
Whether one passes or fails an academic assignment such as the Grand Canyon University NUR 514 Emerging Technology Brief 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 NUR 514 Emerging Technology Brief
The introduction for the Grand Canyon University NUR 514 Emerging Technology Brief 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 NUR 514 Emerging Technology Brief
After the introduction, move into the main part of the NUR 514 Emerging Technology Brief 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 NUR 514 Emerging Technology Brief
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 NUR 514 Emerging Technology Brief
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 NUR 514 Emerging Technology Brief
As a core component of NUR 514 Emerging Technology Brief, effective patient care depends on health care providers’ creativity and potential to address endless concerns. Like other fields, health care delivery is innovative, allowing nursing professionals to apply emerging technologies to achieve higher outcomes regarding care quality and patient safety. Knowledge of how different technologies work, risks, and factors promoting their use is crucial for safe and ethical integration into patient care. The informatics nurse’s skills and guidance are critical to sustaining positive outcomes. The purpose of this NUR 514 Emerging Technology Brief paper is to discuss an emerging health care technology with the potential to overcome barriers to care.
Overview of Emerging Technology
Health care technologies differ in features, capacities, relevance, and other critical factors. Artificial intelligence (AI) involves using computer technologies to execute functions that require human intelligence to interpret and make decisions (Secinaro et al., 2021). Such functions include calculations, data interpretation, and problem-solving. Routinely, AI is characterized by data interpretation depending on previously input and processed information. AI has massive potential for improving care access, safety, and quality.
Concerning access to care, Shaik et al. (2023) found AI instrumental in supporting remote patient monitoring and providing cost-effective care. AI-related trends and applications help health care professionals to monitor patients’ vital signs, emergency events, and illness patterns as the basis of effective diagnosis and efficient care. In health care settings, AI supports nurses in diagnosing diseases, developing treatment plans, and making data-driven clinical decisions (Alowais et al., 2023). Improved diagnostic accuracy is a foundation of high-quality care and patient safety since it reduces the potential for medical errors and promotes accurate, patient-centered care.
Ethical or Legal Issues
AI integration into patient care is associated with numerous ethical issues that inhibit its capacity and usability. As Murphy et al. (2021) noted, privacy and data security issues dominate patient data collection and use for AI-driven applications. These issues emerge since AI tools and systems are trained using personal health information that users may not consent to.
As high-risk systems, the potential for data hacking is high when using AI-related technologies, breaching the privacy rule’s recommendations. To underline the extent of danger that AI poses in health care, Banja (2020) stated that unpredictable and nearly impossible privacy and security risks will frequently emerge due to constant upgrades and system malfunctions. As a result, medical consultations might be ineffective and inefficient, a problem necessitating robust technological infrastructure to secure systems from AI-related security issues.
Nurse’s Informatics Role
Nurses are fundamental in supporting health technologies for high-quality and safe care. One critical nurse’s informatics role is to embrace AI to create a workplace culture where its usage can thrive. Presently, nurses’ attitude toward technology is a huge deterrent to tech-driven nursing, which can inhibit AI integration.
Effective and safe integration of AI in health care requires nurses to address data integration challenges and privacy issues (Ali et al., 2023). The nurse should play a leading role in exploring user challenges and recommending interventions for optimizing AI capabilities and functionality. Such opportunities include expanding information technology (IT) infrastructure, user training, and teamwork among nurses.
Workflow Analysis, Human Factors, and User Centered Design Concepts
AI works effectively in a nursing environment free from implementation and sustainability barriers. According to Davis et al. (2019), workflow analysis involves identifying contextual factors that facilitate or impede the execution of various tasks. Regarding AI, such analysis guides nurse informaticists and other leaders in exploring how AI facilitates task completion and actions required for improved capacity. Human factors include nurses’ knowledge of health care IT, attitude toward change, and interactions between health care professionals. Jointly and independently, these factors affect how health care organizations use technologies and embrace innovation in addressing current and emerging challenges. User-centered design concepts revolve around preventing user challenges and promoting the safe use of AI. As a result, AI tools and systems should be designed to augment humans and not replace them to achieve the best possible outcomes for patients, care providers, and health care organizations.
Conclusion
In conclusion of NUR 514 Emerging Technology Brief assignment, AI is a valuable health care technology whose adoption is an ongoing process. As explained in this brief, AI can help health care professionals to improve diagnosis and treatment accuracy, patient monitoring, and clinical decision-making for high-quality care and optimal patient safety. Due to the increased need for high patient outcomes, nurses should embrace AI and ensure safe and ethical use. A culture that embraces innovation and nurses’ knowledge regarding AI is crucial for the successful integration of AI into patient care and sustained outcomes.
References
Ali, O., Abdelbaki, W., Shrestha, A., Elbasi, E., Alryalat, M. A. A., & Dwivedi, Y. K. (2023). A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities. Journal of Innovation & Knowledge, 8(1), 100333. https://doi.org/10.1016/j.jik.2023.100333
Alowais, S. A., Alghamdi, S. S., Alsuhebany, N., Alqahtani, T., Alshaya, A. I., Almohareb, S. N., … & Albekairy, A. M. (2023). Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC Medical Education, 23(1), 689. https://doi.org/10.1186/s12909-023-04698-z
Banja, J. (2020). How might artificial intelligence applications impact risk management?. AMA Journal of Ethics, 22(11), 945-951. DOI: 10.1001/amajethics.2020.945
Davis, M. M., Gunn, R., Cifuentes, M., Khatri, P., Hall, J., Gilchrist, E., Peek, C. J., Klowden, M., Lazarus, J. A., Miller, B. F., & Cohen, D. J. (2019). Clinical workflows and the associated tasks and behaviors to support delivery of integrated behavioral health and primary care. The Journal of Ambulatory Care Management, 42(1), 51–65. https://doi.org/10.1097/JAC.0000000000000257
Murphy, K., Di Ruggiero, E., Upshur, R., Willison, D. J., Malhotra, N., Cai, J. C., … & Gibson, J. (2021). Artificial intelligence for good health: a scoping review of the ethics literature. BMC Medical Ethics, 22(1), 1-17. https://doi.org/10.1186/s12910-021-00577-8
Secinaro, S., Calandra, D., Secinaro, A., Muthurangu, V., & Biancone, P. (2021). The role of artificial intelligence in healthcare: a structured literature review. BMC Medical Informatics and Decision Making, 21, 1-23. https://doi.org/10.1186/s12911-021-01488-9
Shaik, T., Tao, X., Higgins, N., Li, L., Gururajan, R., Zhou, X., & Acharya, U. R. (2023). Remote patient monitoring using artificial intelligence: Current state, applications, and challenges. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 13(2), e1485. https://doi.org/10.1002/widm.1485