Student Name
Capella University
NURS-FPX 6109 Integrating Technology into Nursing Education
Prof. Name
Date
Educational Technology Needs Assessment
This document seeks to assess the integration of technology in nursing education at St. Anthony Medical Center (SAMC). The evaluation examines the current utilization of technology by nurses, compares it to the desired state, and provides recommendations for addressing identified gaps. The goal is to offer insights that can guide enhancements in technology use for nursing practices at SAMC.
Description of Current Use of Educational Technology
At SAMC, technology is integral to both the educational environment and ongoing professional development for nurses. A key component is the use of e-learning platforms through SAMC’s Learning Management System (LMS). This system provides access to various courses, covering topics such as disease management and patient care protocols. These courses, including interactive modules and evaluations, contribute significantly to the growth of nursing staff (Mahdavi Ardestani et al., 2023). In hands-on training, SAMC employs high-fidelity simulation and virtual reality technologies, especially in procedural training and emergency response drills, creating a safe environment for skill enhancement.
In the clinical context, the Clinical Decision Support System (CDSS) is crucial, offering real-time guidance for decision-making and ensuring adherence to medical guidelines (Ahmed et al., 2023). However, there are concerns about varying technology usage among nursing staff, with comfort and tech-savviness playing significant roles. The lack of granular data on individual nurse engagement and its correlation with clinical performance is a notable gap. Additionally, there are uncertainties about the CDSS, such as its update process during critical events like the recent opioid crisis.
Comparison of Current and Desired State of Educational Technology
SWOT Analysis
| Strengths | Weaknesses | Opportunities | Threats |
|---|---|---|---|
| Existence of foundational educational technology | Outdated content of the CDSS | Update the CDSS with recent research and guidelines | Risk of sub-optimal patient care due to outdated clinical guidance and inconsistent skills development |
| Potential of tools to enhance clinical skills and patient care | Inconsistent usage of e-learning resources and simulation training among nurses | Enhance accessibility and user-friendliness of e-learning resources | Unequal access to and benefits from educational technologies due to a lack of tech proficiency |
| Discrepancy in technological comfort and proficiency among nursing staff | More consistent integration of simulation training into the continuing professional education curriculum | ||
| Broaden learning content to equip nurses with diverse knowledge and skills |
NURS FPX 6109 Assessment 1 Vila Health: Educational Technology Needs Assessment
Based on this analysis, addressing the inconsistent utilization of e-learning resources and simulation training among nurses is crucial. Standardizing usage through a structured schedule or mandatory training sessions, along with ensuring digital literacy, can enhance equal access. For the CDSS, regular updates with recent research are recommended to align with evidence-based practices.
Evaluation of Metrics for Current Educational Technology Use
Evaluation metrics at SAMC include participation rates, completion rates, user satisfaction surveys, and performance assessments in e-learning courses. While these metrics offer insights, a more comprehensive analysis should include practical application metrics in the clinical environment. Observing improvements in clinical skills and decreased errors post-training could provide a more accurate assessment. Additionally, incorporating machine learning tools and advanced analytics could reveal patterns overlooked in conventional analyses.
Alignment of Educational Technology with Organizational Mission
SAMC’s strategic mission focuses on high-quality patient care and continuous learning. Educational technology aligns with this mission by providing continual learning opportunities and promoting self-directed learning through e-learning courses. Simulation equipment enhances practical skills without compromising patient safety, directly contributing to improved patient care. A regularly updated CDSS supports clinical decision-making, ensuring adherence to best practices and promoting better patient outcomes.
Recommendations for Improving the Use of Educational Technology
The primary recommendation is to improve the CDSS by ensuring regular updates with recent research findings. Addressing unequal access to e-learning resources requires strategies like digital literacy training and structured schedules. Promoting regular use of simulation equipment and implementing data analytics for monitoring technology outcomes are essential. Regular feedback from nursing staff through surveys is crucial for identifying areas of improvement and understanding the real impact of these technologies on learning and professional development (Ahmed et al., 2023).
References
Ahmed, U., Iqbal, K., & Aoun, M. (2023). Natural language processing for clinical decision support systems: A review of recent advances in healthcare. Journal of Intelligent Connectivity and Emerging Technologies, 8(2), 1–16. Link
Akinola, S., & Telukdarie, A. (2023). Sustainable digital transformation in healthcare: Advancing a digital vascular health innovation solution. Sustainability, 15(13), 10417. DOI
Mahdavi Ardestani, S. F., Adibi, S., Golshan, A., & Sadeghian, P. (2023). Factors influencing the effectiveness of e-learning in healthcare: A fuzzy ANP study. Healthcare, 11(14), 2035. DOI
Volkow, N. D., & Blanco, C. (2023). Fentanyl and other opioid use disorders: Treatment and research needs. American Journal of Psychiatry, 180(6), 410–417. DOI
NURS FPX 6109 Assessment 1 Vila Health: Educational Technology Needs Assessment
White, N., Carter, H. E., Sanjeewa Kularatna, Borg, D. N., Brain, D. C., Tariq, A., Abell, B., Blythe, R., & McPhail, S. M. (2023). Evaluating the costs and consequences of computerized clinical decision support systems in hospitals: A scoping review and recommendations for future practice. Journal of the American Medical Informatics Association, 30(6), 1205–1218. DOI