NUR 514 emerging technology Artificial intelligence and nursing informatics
NUR 514 Emerging Technology Brief: Assignment Instructions, Rubric, and Writing Guide
Assignment Context and Overview
New health care innovations offer the advanced registered nurse an opportunity to apply emerging technologies in practice to improve quality and patient outcomes. NUR 514 Organizational Leadership and Informatics examines how leadership, organizational science, policy, and informatics support safe, high-quality, cost-effective care within interprofessional environments.
For this assignment, you will research an emerging health care technology that you believe has the potential to overcome current or emerging barriers to care. You will evaluate its clinical function, ethical dimensions, informatics implications, and design requirements. The brief prepares you to participate in technology selection, implementation planning, and policy discussions as an advanced practice nurse.
Course: NUR 514 Organizational Leadership and Informatics
Assignment: Topic 6 Emerging Technology Brief
Points: 125
Length: 500 to 750 words
Format: APA 7th edition
Sources: Three to five peer-reviewed references published within the last five years
Task Description and Requirements
Write a concise brief that includes all of the following elements. Organize the paper with APA headings that correspond to each requirement.
- Overview of the Emerging Technology: Provide a clear description of the technology and its role or function in health care. Explain how it works in clinical practice. Consider its potential for improving access to care, promoting patient safety, and enhancing care quality. Include specific examples of patient populations or settings that would benefit.
- Ethical or Legal Issues: Describe at least one ethical or legal issue that would accompany incorporation of the technology. Possible topics include data privacy, informed consent, algorithmic bias, liability for errors, scope of practice, or compliance with HIPAA and other regulatory frameworks. Explain why these issues matter for patients and organizations.
- Nurse Informatics Role: Explain the nurse informaticist’s role in relation to the selected technology. Provide concrete examples of job functions, such as system selection, workflow mapping, staff training, data governance, clinical decision support configuration, or policy development. Clarify how this role connects to improved patient outcomes.
- Workflow Analysis, Human Factors, and User-Centered Design: Outline how workflow analysis informs successful implementation of your chosen technology. Discuss human factors such as cognitive load, alert fatigue, and staff attitudes. Explain why user-centered design concepts, including iterative testing with clinicians and patients, reduce errors and increase adoption.
Additional Requirements:
- Include a title page, introduction with thesis statement, body paragraphs, conclusion, and reference list.
- Use in-text citations for all claims supported by research.
- Complete the APA Writing Checklist and include it as an appendix after the reference list.
- Submit the final paper to LopesWrite before the due date.
- Review the rubric prior to writing to ensure all criteria are addressed.
Grading Rubric and Marking Criteria
| Criteria | Points | Exemplary Performance Indicators |
|---|---|---|
| Overview of Emerging Technology | 18.75 | Clear, accurate description of technology; explicit connection to access, safety, and quality; specific clinical examples provided. |
| Ethical or Legal Issues | 18.75 | Relevant ethical or legal concerns identified; implications for patients and organizations explained with depth and specificity. |
| Role of Nurse Informatics Technology | 18.75 | Informatics role clearly defined; concrete job functions and examples provided; connection to patient outcomes established. |
| Workflow Analysis, Human Factors, and User-Centered Design | 25.00 | Workflow analysis explained accurately; human factors and user-centered design applied to the chosen technology; implementation insights present. |
| Required Sources | 3.75 | Three to five credible sources published within the last five years; sources are peer-reviewed and relevant to nursing content. |
| Appendix | 2.50 | Completed APA Writing Checklist included as an appendix after the reference list. |
| Thesis Development and Purpose | 8.75 | Thesis statement is clear, concise, and arguable; purpose of the paper is evident from the introduction. |
| Development, Structure, and Conclusion | 10.00 | Logical progression of ideas; smooth transitions; conclusion synthesizes key points and offers implications or recommendations. |
| Evidence | 6.25 | In-text citations support claims; evidence is integrated smoothly and analyzed rather than merely summarized. |
| Mechanics of Writing | 6.25 | Error-free grammar, spelling, and punctuation; appropriate academic tone and sentence variety. |
| Format and Documentation | 6.25 | APA title page, headings, margins, font, and reference format are correct; LopesWrite submission completed. |
Research, Writing, Citation, and Referencing
Begin your research in the GCU Library using databases such as CINAHL, PubMed, and Nursing and Allied Health. Use combinations of keywords including your technology name, “patient safety,” “nursing informatics,” “workflow analysis,” and “user-centered design.” Limit your search to peer-reviewed articles published within the last five years. Evaluate each source for credibility, currency, and relevance to nursing practice.
When writing in-text citations, integrate the author and year into the sentence or place the citation at the end of the sentence. For direct quotes, include the page number. Every in-text citation must match a full reference entry. Organize the reference list alphabetically by the first author’s surname. Use hanging indents and follow APA 7th edition formatting for journal articles, books, and online sources. Include DOIs when available.
Why This Matters in Practice
Advanced practice nurses increasingly encounter emerging technologies during clinical rotations and employment in acute care, outpatient, and community settings. Understanding how to evaluate these tools prepares nurse leaders to participate in purchasing decisions, implementation committees, and policy review. Organizations rely on clinically literate nurses who can identify when technology improves outcomes versus when it introduces new risks. The skills developed in this brief transfer directly to quality improvement projects, informatics committees, and interprofessional team meetings. Nurses who can articulate both benefits and limitations of new technologies serve as effective patient advocates and organizational change agents.
Sample Essay Response: Artificial Intelligence in Health Care
Overview of an Emerging Technology
Artificial intelligence in health care encompasses machine learning algorithms that assist clinicians with diagnosis, risk prediction, and treatment planning across diverse patient populations. These systems process complex clinical data to detect subtle patterns, which supports earlier intervention and reduces preventable adverse events. AI applications also bridge geographic barriers by delivering automated screening and decision support to facilities that lack on-site specialists. Utilizing standardized nursing terminologies in implementing an AI-powered fall-prevention tool to improve patient outcomes: a multihospital study confirms that AI tools improve diagnostic precision and operational efficiency when integrated into clinical workflows. Advanced practice nurses can leverage these technologies to monitor chronic conditions remotely and personalize care plans based on real-time data analytics. Successful adoption depends on selecting applications that match organizational infrastructure and staff competencies. AI ultimately functions as a clinical support layer that augments nursing judgment rather than replacing human oversight.
AI Integration and Nursing Informatics Leadership
Nurse informaticists serve as the primary bridge between clinical staff and information technology departments during AI implementation. They translate frontline nursing needs into system requirements while ensuring that algorithms reflect accurate clinical terminology and workflow patterns. The evolving role of nursing informatics in the era of artificial intelligence indicates that informaticists now oversee data governance, model validation, and staff education for emerging technologies. These specialists configure clinical decision support rules and monitor algorithm performance to prevent bias or errors that could harm patients. Their responsibilities extend to policy development that defines appropriate AI use and documentation standards. Informaticists also train nurses to interpret AI-generated recommendations critically rather than accepting automated outputs without question. This leadership role ensures that artificial intelligence aligns with patient-centered care principles and ethical practice standards.
Common Misconceptions About Workflow Analysis
Students often confuse workflow analysis with simple observation of staff tasks, but the concept involves systematic evaluation of how technology alters clinical processes. User-centred design for machine learning in health care: a case study from care management shows that ignoring workflow patterns during implementation leads to workarounds and patient safety risks. Human factors engineering examines how clinicians interact with interfaces, including cognitive load, alert fatigue, and error recovery. User-centered design requires iterative testing with actual nurses rather than assuming that developers understand clinical needs. Many implementation failures stem from organizations purchasing technology without analyzing whether staff have the time, skills, or infrastructure to use it effectively. Workflow mapping before go-live identifies bottlenecks and redundancy that software might otherwise amplify. This preparatory work determines whether a given technology produces measurable improvements or simply adds documentation burden.
Ethical Frameworks for Emerging Technology
Legal and ethical concerns surrounding AI include data privacy, algorithmic bias, accountability for errors, and informed consent for automated decision support. Governance of emerging technologies in health and medicine: Creating a new framework argues that current regulations lag behind technological advances, leaving gaps in liability and oversight. Health care organizations must establish clear policies about who bears responsibility when an AI system generates a harmful recommendation. Patient autonomy requires transparent communication about how algorithms influence care decisions and what data sources train those models. Advanced practice nurses should advocate for equity by questioning whether AI tools perform equally across racial, ethnic, and socioeconomic groups. Regulatory bodies continue to develop standards, but individual institutions cannot delay internal governance while waiting for federal mandates. Proactive ethical review boards within hospitals can assess new technologies before widespread deployment and protect both patients and clinicians from unintended consequences.
Frequently Asked Question
How do I choose a specific emerging technology for the NUR 514 brief?
Select a technology that has peer-reviewed evidence from the last five years and clear implications for advanced nursing practice. Artificial intelligence, telehealth platforms, wearable monitoring devices, and blockchain for health records all qualify if published research supports your claims. Verify that your chosen topic allows you to address all four required elements: overview, ethical issues, informatics roles, and workflow analysis. Avoid technologies that lack sufficient nursing literature, as the assignment requires sources appropriate for nursing content. The GCU Library databases, PubMed, and CINAHL provide credible articles on most clinical technologies. Your thesis should state whether the technology resolves a specific barrier to care and what conditions would maximize its effectiveness.
References and Learning Materials
Cho, I., Cho, J., Hong, J. H., Choe, W. S., & Shin, H. (2023). Utilizing standardized nursing terminologies in implementing an AI-powered fall-prevention tool to improve patient outcomes: A multihospital study. Journal of the American Medical Informatics Association, 30(11), 1826-1836. https://doi.org/10.1093/jamia/ocad145
Mathews, D. J. H., Balatbat, C. A., & Dzau, V. J. (2022). Governance of emerging technologies in health and medicine: Creating a new framework. The New England Journal of Medicine, 386(23), 2239-2242. https://doi.org/10.1056/NEJMms2200907
Seneviratne, M. G., Li, R. C., Schreier, M., Lopez-Martinez, D., Patel, B. S., & Chen, J. H. (2022). User-centred design for machine learning in health care: A case study from care management. BMJ Health & Care Informatics, 29(1), e100656. https://doi.org/10.1136/bmjhci-2022-100656
Cabrega, J. C. A., Othman, M. I., Khedr, M. A., Osman, Y. M., El-Ashry, A. M., & Mousa, A. A. (2025). The evolving role of nursing informatics in the era of artificial intelligence. International Nursing Review, 72(1), e13084. https://doi.org/10.1111/inr.13084
Staras, S., Tauscher, J. S., Rich, N., Samarah, E., Thompson, L. A., Vinson, M. M., Muszynski, M. J., & Shenkman, E. A. (2021). Using a clinical workflow analysis to enhance eHealth implementation planning: Tutorial and case study. JMIR mHealth and uHealth, 9(3), e18534. https://doi.org/10.2196/18534
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