NR583NP Week 6 Emerging Technologies Paper Assignment

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NR583NP Week 6 Emerging Technologies Paper Assignment – Step-by-Step Guide

The first step before starting to write the NR583NP Week 6 Emerging Technologies Paper Assignment is to understand the requirements of the assignment. The first step is to read the assignment prompt carefully to identify the topic, the length and format requirements. You should go through the rubric provided so that you can understand what is needed to score the maximum points for each part of the assignment. 

It is also important to identify the paper’s audience and purpose, as this will help you determine the tone and style to use throughout. You can then create a timeline to help you complete each stage of the paper, such as conducting research, writing the paper, and revising it to avoid last-minute stress before the deadline. After identifying the formatting style to be applied to the paper, such as APA, review its use, including writing citations and referencing the resources used. You should also review the formatting requirements for the title page and headings in the paper, as outlined by Chamberlain University.

How to Research and Prepare for NR583NP Week 6 Emerging Technologies Paper Assignment

The next step in preparing for your paper is to conduct research and identify the best sources to use to support your arguments. Identify a list of keywords related to your topic using various combinations. The first step is to visit the Chamberlain University library and search through its database using the important keywords related to your topic. You can also find books, peer-reviewed articles, and credible sources for your topic from the Chamberlain University Library, PubMed, JSTOR, ScienceDirect, SpringerLink, and Google Scholar. Ensure that you select the references that have been published in the last 5 years and go through each to check for credibility. Ensure that you obtain the references in the required format, such as APA, so that you can save time when creating the final reference list. 

You can also group the references according to their themes that align with the outline of the paper. Go through each reference for its content and summarize the key concepts, arguments and findings for each source. You can write down your reflections on how each reference connects to the topic you are researching. After the above steps, you can develop a strong thesis that is clear, concise and arguable. Next, create a detailed outline of the paper to help you develop headings and subheadings for the content. Ensure that you plan what point will go into each paragraph.

How to Write the Introduction for NR583NP Week 6 Emerging Technologies Paper Assignment

The introduction of the paper is the most crucial part, as it helps provide the context of your work and determines whether the reader will be interested in reading through to the end. Begin with a hook, which will help capture the reader’s attention. You should contextualize the topic by offering the reader a concise overview of the topic you are writing about so that they may understand its importance. You should state what you aim to achieve with the paper. The last part of the introduction should be your thesis statement, which provides the main argument of the paper.

How to Write the Body for NR583NP Week 6 Emerging Technologies Paper Assignment

The body of the paper helps you to present your arguments and evidence to support your claims. You can use headings and subheadings developed in the paper’s outline to guide you on how to organize the body. Start each paragraph with a topic sentence to help the reader know what point you will be discussing in that paragraph. Support your claims using the evidence collected from the research, and ensure that you cite each source properly using in-text citations. You should analyze the evidence presented and explain its significance, as well as how it relates to the thesis statement. You should maintain a logical flow between paragraphs by using transition words and a flow of ideas.

How to Write the In-text Citations for NR583NP Week 6 Emerging Technologies Paper Assignment

In-text citations help readers give credit to the authors of the references they have used in their work. All ideas that have been borrowed from references, any statistics and direct quotes must be referenced properly. The name and date of publication of the paper should be included when writing an in-text citation. For example, in APA, after stating the information, you can put an in-text citation after the end of the sentence, such as (Smith, 2021). If you are quoting directly from a source, include the page number in the citation, for example (Smith, 2021, p. 15). Remember to also include a corresponding reference list at the end of your paper that provides full details of each source cited in your text. An example paragraph highlighting the use of in-text citations is as below:

“The integration of technology in nursing practice has significantly transformed patient care and improved health outcomes. According to Morelli et al. (2024), the use of electronic health records (EHRs) has streamlined communication among healthcare providers, allowing for more coordinated and efficient care delivery. Furthermore, Alawiye (2024) highlights that telehealth services have expanded access to care, particularly for patients in rural areas, thereby reducing barriers to treatment.”

How to Write the Conclusion for NR583NP Week 6 Emerging Technologies Paper Assignment

When writing the conclusion of the paper, start by restating your thesis, which helps remind the reader what your paper is about. Summarize the key points of the paper by restating them. Discuss the implications of your findings and your arguments. Conclude with a call to action that leaves a lasting impression on the reader or offers recommendations.

How to Format the Reference List for NR583NP Week 6 Emerging Technologies Paper Assignment

The reference helps provide the reader with the complete details of the sources you cited in the paper. The reference list should start with the title “References” on a new page. It should be aligned center and bolded. The references should be organized in an ascending order alphabetically, and each should have a hanging indent. If a source has no author, it should be alphabetized by the title of the work, ignoring any initial articles such as “A,” “An,” or “The.” If you have multiple works by the same author, list them in chronological order, starting with the earliest publication. 

Each reference entry should include specific elements depending on the type of source. For books, include the author’s last name, first initial, publication year in parentheses, the title of the book in italics, the edition (if applicable), and the publisher’s name. For journal articles, include the author’s last name, first initial, publication year in parentheses, the title of the article (not italicized), the title of the journal in italics, the volume number in italics, the issue number in parentheses (if applicable), and the page range of the article. For online sources, include the DOI (Digital Object Identifier) or the URL at the end of the reference. An example reference list is as follows:

References

Morelli, S., Daniele, C., D’Avenio, G., Grigioni, M., & Giansanti, D. (2024). Optimizing telehealth: Leveraging Key Performance Indicators for enhanced telehealth and digital healthcare outcomes (Telemechron Study). Healthcare, 12(13), 1319. https://doi.org/10.3390/healthcare12131319

Alawiye, T. (2024). The impact of digital technology on healthcare delivery and patient outcomes. E-Health Telecommunication Systems and Networks, 13, 13-22. 10.4236/etsn.2024.132002.

NR583NP Week 6 Emerging Technologies Paper Assignment Instructions

Emerging Technologies Assignment

Purpose

The purpose of this assignment is to explore the role of emerging technologies in healthcare. These skills support the professional formation of the advanced nursing role. Have a look at NR583 Week 7 Discussion Cybersecurity – Phishing.

Course Outcomes

This assignment enables the student to meet the following course outcomes:

  • CO 2: Evaluate evidence-based practices related to information use and management, technology selection, communication, and resource allocation. (POs 1, 5)
  • CO 3: Appraise ethical, legal, regulatory, and professional standards for using information and communication technologies. (POs 3, 4)
  • CO 5: Develop professional competencies in information and communication technologies to advance healthcare outcomes and equity. (PO 5)

Due Date

Students must complete the Week 6 assignment and submit it to the dropbox by Sunday at 11:59 p.m. MT. 

Students are expected to submit assignments by the time they are due. Assignments submitted after the due date and time will receive a deduction of 10% of the total points possible for that assignment for each day the assignment is late. Assignments will be accepted, with a penalty as described, up to a maximum of three days late. After that point, a zero will be recorded for the assignment.

Total Points Possible

This assignment is worth 200 points.

Preparing the Assignment

Follow these guidelines when completing each component of the assignment. Contact your course faculty if you have questions. 

General Instructions 

Visit the Healthcare Information and Management Systems Society (HIMSS) Healthcare IT News homepage. https://www.healthcareitnews.com/

  1. Select an article or white paper published on the HIMSS Healthcare IT News homepage within the past 6 months related to artificial intelligence or precision medicine. News articles and editorials may be used to find an example of an emerging technology and must be appropriately cited. 
  2. Download the Week 6 Emerging Technologies template. Use of the template is required. If the template is not used, a 10% deduction will be applied. See the rubric. Save the template and include your name in the file name.   
  3. Write 1000 – 1500 words (excluding title and reference pages).     
  4. Use APA in-text citations and complete references to support your writing.
  5. Follow APA current edition rules for grammar, spelling, word usage, and punctuation consistent with formal, scholarly writing.  
  6. Abide by Chamberlain University’s academic integrity policy. 

Include the following sections (detailed criteria listed below and in the grading rubric):

  1. Article Selection
    1. Select an article or white paper published on the HIMSS Healthcare IT News homepage within the past 6 months related to artificial intelligence or precision medicine.
  2. Article Summary
    1. Provide a clear summary of the article.
    2. Identify and define the emerging technology described in the article.
    3. Provide an in-text citation from one scholarly source to support your writing.
  3. Example of Technology
    1. Describe your intended area of practice.
    2. Provide an example of how the emerging technology could be used in your future area of nursing practice.
    3. Provide an in-text citation from one scholarly source to support your writing.
  4. Ethical, Legal, and Safety Issues
    1. Describe at least one legal issue related to the emerging technology.
    2. Describe at least one ethical concern related to the emerging technology.
    3. Describe at least one client safety concern related to the emerging technology.
    4. Provide an in-text citation from one scholarly source to support your writing.
  5. Mitigating Strategies
    1. Describe a mitigating strategy for the identified legal issue related to the emerging technology.
    2. Describe a mitigating strategy for the identified ethical concern related to the emerging technology.
    3. Describe a mitigating strategy for the identified client safety concern related to the emerging technology.
    4. Provide an in-text citation from one scholarly source to support your writing.
  6. Reflection
    1. Identify whether you support the use of the technology in healthcare.
    2. Provide a rationale for why or why not.
    3. Reflect on how the knowledge will improve your effectiveness as an advanced practice nurse.

NR583NP Week 6 Emerging Technologies Paper Assignment Example

Article Summary

The article, Leveraging Generative AI Tools for Professional Development in Healthcare by Freddy Terrazas Escamilla (2024), explores the potential applications of generative AI in enhancing healthcare professionals’ development. AI technologies can analyze extensive datasets, simulate medical scenarios, and provide real-time feedback to enhance clinical decision-making and performance.

A key application highlighted is the creation of personalized learning paths, where AI tailors educational content to align with healthcare professionals’ areas of focus, experience, and knowledge gaps. This personalization ensures efficient and relevant learning for each individual’s role within the healthcare system. The article also discusses the use of AI in virtual patient simulations, enabling healthcare workers to practice clinical skills in safe, controlled environments and gain experience with complex patient cases.

Additionally, AI is utilized for advanced data visualization, simplifying the analysis of large volumes of patient data and empowering healthcare professionals to quickly identify patterns and trends that would otherwise be challenging to interpret. Escamilla (2024) recognizes the vital need to cultivate high-quality training data, thoughtfully address potential biases in AI systems, and equip healthcare professionals with appropriate training to enable the seamless integration of AI into healthcare settings.

Example of Technology

Artificial intelligence can enhance my future nursing practice in the emergency department, improving clinical decisions and patient outcomes through decision support and patient triage. According to Chenais et al. (2022), AI in emergency medicine has the potential to analyze large datasets quickly, enabling real-time decision support and helping clinicians prioritize care. AI-driven systems, for instance, can help diagnose conditions like strokes or heart attacks quickly by analyzing patient data, including ECG results or medical imaging, allowing for faster medical responses.

Ho (2024) further discusses the digitization of emergency medicine, highlighting AI’s role in streamlining workflows and improving patient management. AI-powered technologies can facilitate the prediction of patient prognoses and the recommendation of personalized treatment strategies, rendering them indispensable in high-intensity medical settings. These AI-driven tools could be deployed for virtual triage to help assess patient data upon admission and prioritize cases based on severity to ensure that critical patients receive immediate attention. By incorporating AI into nursing workflow, one can enhance the efficiency of care delivery, reduce errors, and improve overall patient outcomes, particularly in time-sensitive scenarios such as trauma or acute cardiac events.

Ethical, Legal, and Safety Issues

Patient data privacy is one significant legal issue as AI systems rely heavily on large datasets, often including sensitive patient information. Unauthorized access or breaches of this data could violate privacy laws such as the Health Insurance Portability and Accountability Act (HIPAA), leading to severe legal consequences. Naik et al. (2022) highlight the importance of healthcare organizations implementing strong data protection measures such as encryption and access control to protect patient information from unauthorized access.

A significant ethical challenge with AI in healthcare is the risk of algorithm bias. AI systems are trained using large datasets that may contain historical biases or lack sufficient representation of certain demographic groups, resulting in skewed recommendations and outcomes and might not perform equally across different racial, ethnic, or socioeconomic groups, which could worsen existing health disparities (Naik et al., 2022). To address these biases, it is crucial to ensure the use of diverse and inclusive data during the training of AI systems and to monitor AI decisions for fairness and equity continuously.

Client safety is another critical concern when using AI in healthcare. AI can support clinical decision-making, but healthcare professionals should avoid over-reliance on AI recommendations, which may override their clinical expertise. This could lead to incorrect diagnoses or treatments, especially if the AI system’s algorithm is flawed or if it interprets patient data (Brown et al., 2023). Healthcare professionals should verify AI-generated recommendations using their expertise and consult relevant specialists when needed to prioritize patient wellbeing.

Mitigating Strategies

To mitigate legal risks associated with AI in healthcare, particularly regarding data privacy, it is crucial to implement comprehensive data security measures, such as using strong encryption protocols to protect sensitive patient information during data transmission and storage. Access controls have to be implemented to ensure that only authorized individuals can view confidential data. Regular audits help to verify compliance with privacy laws, such as HIPAA, and to detect potential breaches early (Brown et al., 2023). Additionally, healthcare organizations need to set clear guidelines for data usage, focused on patient consent and transparency regarding how their data is used in AI applications.

Addressing ethical concerns around AI bias requires ensuring diversity in the datasets used to train AI systems by incorporating data from various demographic groups—including various racial, ethnic, and socioeconomic backgrounds—so AI can make fair and equitable decisions. Regular testing and auditing AI tools for fairness are essential to spot and correct biased patterns. As Brown et al. (2023) assert, continuous training for developers and healthcare professionals on the ethical impacts of AI and the importance of unbiased data is vital to promote fairer patient outcomes.

AI should be viewed as a supportive tool, not a replacement for human expertise. Healthcare professionals must maintain final decision-making authority and use their clinical judgment to validate AI suggestions. Implementing decision support systems, encouraging providers to question and confirm AI recommendations, can reduce errors (Brown et al., 2023). Additionally, AI tools should be designed to highlight areas of uncertainty or potential discrepancies, ensuring that healthcare professionals are fully informed when making crucial decisions.

Reflection

I strongly support the integration of generative AI tools in healthcare because they have the potential to enhance clinical decision-making and improve patient outcomes significantly. In my future nursing work, AI can enhance real-time decision support, prioritize patient needs, and aid diagnostics – vital in high-pressure settings. While AI offers great potential for efficiency and accuracy, it must complement, not replace, human expertise.

Healthcare providers must maintain final decision-making authority to ensure clinical knowledge guides patient care. Additionally, AI integration should consider legal, ethical, and safety concerns, such as patient data privacy, algorithmic bias, and over-dependence on AI-generated decisions. Using AI as a tool that works alongside clinical judgment, healthcare professionals can provide more effective, timely, and personalized care, ultimately improving patient safety and outcomes.

References

Brown, C., Nazeer, R., Gibbs, A., Le Page, P., & Mitchell, A. R. (2023). Breaking bias: The role of artificial intelligence in improving clinical decision-making. Cureus, 15(3). https://doi.org/10.7759/cureus.36415

Chenais, G., Lagarde, E., & Gil-Jardiné, C. (2022). Artificial intelligence in emergency medicine: A viewpoint of current applications, foreseeable opportunities and challenges (preprint). Journal of Medical Internet Research, 25. https://doi.org/10.2196/40031

Escamilla, F. T. M. H. A. (2024, December 6). Leveraging generative AI tools for professional development in healthcare. HIMSS. https://gkc.himss.org/resources/leveraging-generative-ai-tools-professional-development-healthcare

Ho, K. (2024). Digitization of emergency medicine: Opportunities, examples, and issues for consideration. Singapore Medical Journal, 65(3), 179–182. https://doi.org/10.4103/singaporemedj.smj-2023-217

Naik, N., Hameed, B. M. Z., Shetty, D. K., Swain, D., Shah, M., Paul, R., Aggarwal, K., Ibrahim, S., Patil, V., Smriti, K., Shetty, S., Rai, B. P., Chlosta, P., & Somani, B. K. (2022). Legal and ethical considerations in artificial intelligence in healthcare: Who takes responsibility? Frontiers in Surgery, 9(862322), 1–6. https://doi.org/10.3389/fsurg.2022.862322