NUR 514 Emerging Technology Brief
University:
Grand Canyon University
NUR 514 Emerging Technology Brief
Paper Instructions
Assessment Description
New health care innovations offer the advanced registered nurse an opportunity to apply emerging technologies in practice to improve quality and patient outcomes. For this assignment, research an emerging health care technology that you think has the potential to overcome current or emerging barriers to care.
Write a 500-750-word brief. Include the following:
- Provide an overview of the emerging technology and its role/function in health care. Consider its potential for improving access to care and promoting patient safety and quality.
- Describe ethical or legal issues that would accompany the incorporation of the technology.
- Explain the nurse’s informatics role in regard to the technology. Provide examples of the roles and job functions.
- Outline the role of workflow analysis, human factors, and user-centered design concepts for your chosen technology example.
- Refer to the topic Resources for samples and resources to help you construct your brief.
- You are required to cite three to five sources to complete this assignment. Sources must be published within the last 5 years and appropriate for the assignment criteria and nursing content.
- Complete the “APA Writing Checklist” to ensure that your paper adheres to APA style and formatting criteria and general guidelines for academic writing. Include the completed checklist as an appendix at the end of your paper.
- Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center.
- This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
- You are required to submit this assignment to LopesWrite. A link to the LopesWrite technical support articles is located in Class Resources if you need assistance.
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Sample Answer
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 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
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
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