Student Name
Capella University
NURS-FPX 6109 Integrating Technology into Nursing Education
Prof. Name
Date
Educational Technology Needs Assessment
This report is aimed at evaluating the integration of technology in nursing education at St. Anthony Medical Center (SAMC). It seeks to meticulously examine the utilization of technology by nurses in the educational context, compare it with the desired state, and provide recommendations to address identified gaps. The ultimate objective is to offer an overview guiding improvements in the use of technology for nursing practices at SAMC.
Description of Current Use of Educational Technology
Educational technology at SAMC plays a vital role in the environment and ongoing professional development programs for nurses. E-learning platforms, facilitated through SAMC’s Learning Management System (LMS), provide access to diverse courses, including disease management, patient care protocols, and internal procedures. These interactive modules, offering quizzes and evaluations, contribute significantly to the growth of nursing staff (Mahdavi Ardestani et al., 2023). In hands-on training, SAMC utilizes high-fidelity simulation and virtual reality technologies, particularly in procedural training and emergency response drills. This approach creates a safe environment for nurses to replicate real-life scenarios, enhancing their skills and competencies.
In the clinical context, the Clinical Decision Support System (CDSS) is crucial, providing real-time guidance in decision-making processes and ensuring adherence to medical guidelines (Ahmed et al., 2023). However, there are uncertainties, including variances in technology usage among nursing staff and a lack of granular data on individual engagement and its correlation with clinical performance outcomes. Additionally, critiques of the CDSS’s currency during the opioid crisis raise questions about the frequency and sources of system updates.
Comparison of Current and Desired State of Educational Technology
SWOT Analysis
| Strengths | Weaknesses | Opportunities | Threats |
|---|---|---|---|
| Existence of foundational educational technology | Outdated content in the CDSS | Potential to enhance clinical skills | Inconsistent usage of e-learning and simulation |
| Potential for improved patient care outcomes | Unequal technological proficiency among staff | Opportunities for CDSS update | Risk of sub-optimal patient care |
| Utilization of e-learning and simulation training | Enhanced accessibility of e-learning | Unequal access and benefits due to tech proficiency |
NURS FPX 6109 Assessment 1 Vila Health: Educational Technology Needs Assessment
Based on the SWOT analysis, changes are needed in how nurses use technology at SAMC (Ahmed et al., 2023; Mahdavi Ardestani et al., 2023). Inconsistent use of resources should be addressed through standardization and digital literacy efforts. CDSS issues require updates for evidence-based decisions.
Evaluation of Metrics for Current Educational Technology Use
The evaluation of educational technology benefits at SAMC relies on participation rates, completion rates, user satisfaction surveys, and e-learning assessment performance. While these metrics provide insights, a more comprehensive analysis should include practical application metrics in the clinical environment. Decreases in errors or improvements in adherence to best practices post-training would indicate actual impact (Akinola & Telukdarie, 2023). Machine learning tools could enhance data interpretation.
Alignment of Educational Technology with Organizational Mission
SAMC’s mission of delivering high-quality patient care and fostering continuous learning aligns with existing and new educational technology initiatives. These technologies contribute to continuous improvement by offering learning opportunities, flexibility, and practical skill enhancement, directly benefiting patient care.
Recommendations for Improving the Use of Educational Technology
The primary recommendation is to improve the CDSS by ensuring regular updates aligning with evidence-based practices. Unequal access to e-learning resources should be addressed through digital literacy initiatives and structured schedules. Promotion of regular simulation equipment use is essential. Data analytics, including tracking completion rates and outcomes, can provide more meaningful insights. Regular feedback from nursing staff through surveys is crucial for identifying improvement areas.
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. https://questsquare.org/index.php/JOUNALICET/article/view/2
Akinola, S., & Telukdarie, A. (2023). Sustainable digital transformation in healthcare: Advancing a digital vascular health innovation solution. Sustainability, 15(13), 10417. https://doi.org/10.3390/su151310417
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. https://doi.org/10.3390/healthcare11142035
NURS FPX 6109 Assessment 1 Vila Health: Educational Technology Needs Assessment
Volkow, N. D., & Blanco, C. (2023). Fentanyl and other opioid use disorders: Treatment and research needs. American Journal of Psychiatry, 180(6), 410–417. https://doi.org/10.1176/appi.ajp.20230273
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. https://doi.org/10.1093/jamia/ocad040