NURS FPX 6025 Assessment 6 Practicum and MSN Reflection

NURS FPX 6025 Assessment 6 Practicum and MSN Reflection

Name

Capella University

NURS-FPX 6025 MSN Practicum

Prof. Name

Date

Practicum and MSN Reflection

In my final capstone project, I utilized the Population, Intervention, Comparison, Outcome, and Timeframe (PICOT) technique to engage and manage patients using GE monitoring devices among staff nurses. This hands-on experience was instrumental in perfecting my clinical skills and confidence in leveraging such technology effectively. In this assessment, I will reflect on my Master of Science in Nursing (MSN) experience, including achievements, challenges, practicum completion, and future career prospects. My MSN program has enriched my nursing expertise. It has equipped me with the necessary skills to proficiently employ GE monitoring technology in patient care.

Analysis of MSN Journey

The completion of my MSN program has equipped me with the essential competencies and insights necessary for leadership roles within nursing, particularly in leveraging innovative technologies like GE monitoring devices. These devices, seamlessly integrated with Electronic Health Records (EHR), offer a transformative approach to patient care. It transfers data directly to EHR, which mitigates Medication Errors (MEs) (Krittanawong et al., 2020). Using equipment, abilities, and understanding of nursing, I can offer compassionate patient care and enhance teamwork using technology. It helps in delivering treatments based on patient data and community requirements. The lessons I gained in my MSN program will assist me in my future nursing practice.

Upon completing my MSN degree, I am equipped to apply nursing principles by integrating GE monitoring devices for staff nurses, enhancing patient care and health outcomes. By utilizing the PICOT strategy in incorporating GE monitoring devices into nursing practice, I gained real-time data on patient vital signs and health status. GE monitoring devices transfer real-time data into the EHR system. It allows for swift and accurate data transfer rather than manual and doubtful data, which helps to improve the accuracy of the clinical decision-making process (Stucky et al., 2020).

NURS FPX 6025 Assessment 6 Practicum and MSN Reflection

I supported nurses in utilizing GE monitoring devices effectively through tailored education and training. Decision support technologies integrated into EHR systems streamlined this process, offering medical solutions and enhancing clinical decision-making (Amir & Sudarman, 2020). Additionally, I learned strategies to employ digital educational tools to assist nurses in utilizing GE monitoring devices for improved patient care. These tools empower nurses to actively engage in patient monitoring and take responsibility for patient wellbeing (Berryman, 2021).

In my capstone project, I collaborated with information technologists, nurse informaticists, and medical experts to effectively implement GE monitoring device utilization for staff nurses. Adhering to nursing practice standards facilitated seamless information exchange among interdisciplinary teams, enabling enhanced collaboration to reduce MEs and improve patient satisfaction. Throughout my MSN program and capstone project, I emphasized continuous evaluation and feedback. Regular monitoring of the impact of GE monitoring device integration on patient outcomes, such as reduced MEs, shorter hospital stays, and lower healthcare costs, contributed to refining techniques for enhanced patient care.

Future Career Options

Attaining an MSN degree in nursing opens up numerous employment opportunities for nurses. Information and technology are indispensable in delivering personalized, accessible, evidence-based healthcare. Nursing informaticists play a crucial role in healthcare as they possess essential knowledge of technology-driven care (Backonja et al., 2021). For instance, my proficiency in implementing GE monitoring devices and Clinical Decision Support Systems (CDSS) enables me to enhance interdisciplinary collaboration and streamline care processes. Healthcare policies and protocols are grounded in analysis and proof, promoting the efficient usage of resources (Wilson et al., 2020).

With my expertise in gathering, coordinating, and handling medical data, I can follow a career in healthcare data supervision, aiding in policy formulation and healthcare project implementation. Moreover, I can effectively manage patient data related to GE monitoring devices while adhering to legal and ethical standards. These skills position me to serve as a medical systems analyst in GE monitoring device utilization. Legal and ethical standards are crucial for nurses to follow while providing care to patients (Balak et al., 2020). Healthcare technological advancements, particularly GE monitoring devices, serve as crucial components of medical systems and are integral for management and education in healthcare facilities.

Adequate teaching and instruction for medical staff and patients are essential to ensure the effective utilization of these devices (Pandey & Prabha, 2020). Nurse educators with MSN nursing degrees can play a pivotal role as educators, training healthcare professionals on the proficient use of GE monitoring devices to enhance patient care (Papa et al., 2020). Remote monitoring utilizing GE monitoring devices is an effective method of care delivery. Nurse informaticists can serve as coordinators in implementing and optimizing the utilization of these devices for remote patient monitoring initiatives (Haleem et al., 2021). MSN will enable me to integrate GE monitoring devices smoothly into my practice for efficient patient care.

Achievements and Obstacles During the Practicum

In implementing the PIOCT strategy for incorporating GE monitoring devices for staff nurses, I achieved numerous objectives related to the technology. It was a significant expert accomplishment for me to effectively plan, implement, and oversee a medical strategy that accurately monitors the health of patients and helps the staff nurses in decision-making. Upon assessing the outcomes of patients and nurses, I promptly adjusted the monitoring protocols to enhance patient safety and outcomes. Many nurses experienced job satisfaction by effectively utilizing GE monitoring devices. Throughout the project, I provided training and educational programs for nurses to increase their understanding of GE monitoring device usage. It aids them in managing the patients and their data effectively for improved decision-making (Jamil et al., 2020).

However, I encountered various obstacles, such as limited time and financial constraints in conventional healthcare environments, which present challenges in enhancing patient care with GE monitoring devices. Initiatives must be streamlined, focusing on attainable interventions within existing resources to address this issue (Kelly et al., 2020). Additionally, a lack of collaboration and communication among healthcare professionals, including health experts, nurse informaticists, and information technologists, posed challenges in delivering coordinated care (Wranik et al., 2019). However, through this experience, I have gained insight. In my future profession, I will prioritize operative interaction to facilitate collaboration among interprofessional teams.

Completion of Practicum Hours

I effectively fulfilled the necessary 20 practicum hours. During my practicum hours, I employed the PICOT approach to observe the impact of using GE monitoring devices on the staff nurses’ clinical decision-making abilities. This practical involvement provided me with the opportunity to put into practice the knowledge gained from my MSN coursework. The skills I have developed will be invaluable assets in my upcoming nursing pursuits.

Conclusion

In conclusion, My MSN program journey has transformed me, equipping me with vital skills in using modern technologies like GE monitoring devices. With the PICOT framework, I have effectively enhanced patient care and outcomes. I am confident in my capacity to utilize these technologies for better patient care and interdisciplinary teamwork.

References

Amir, H., & Sudarman, S. (2020). Reflective Case Discussion (RCD) for nurses: A systematic review. STRADA Jurnal Ilmiah Kesehatan, 9(2), 332–337. https://doi.org/10.30994/sjik.v9i2.306 

Backonja, U., Langford, L. H., & Mook, P. J. (2021). How to support the nursing informatics leadership pipeline. CIN: Computers, Informatics, Nursing, Publish Ahead of Print(1), 8–20. https://doi.org/10.1097/cin.0000000000000827 

Balak, N., Broekman, M. L. D., & Mathiesen, T. (2020). Ethics in contemporary health care management and medical education. Journal of Evaluation in Clinical Practice, 26(3), 699–706. https://doi.org/10.1111/jep.13352 

Berryman, J. (2021). Use of EBP as a problem‐solving approach to improve patient satisfaction while overcoming the COVID pandemic barriers. Worldviews on Evidence-Based Nursing, 18(6), 389–391. https://doi.org/10.1111/wvn.12541 

Haleem, A., Javaid, M., Singh, R. P., & Suman, R. (2021). Telemedicine for healthcare: Capabilities, features, barriers, and applications. Sensors International, 2(2), 100117. https://doi.org/10.1016/j.sintl.2021.100117 

NURS FPX 6025 Assessment 6 Practicum and MSN Reflection

Jamil, F., Ahmad, S., Iqbal, N., & Kim, D.-H. (2020). Towards a remote monitoring of patient vital signs based on IoT-based blockchain integrity management platforms in smart hospitals. Sensors, 20(8), 2195. https://doi.org/10.3390/s20082195 

Kelly, J. T., Campbell, K. L., Gong, E., & Scuffham, P. (2020). The internet of things: Impact and implications for healthcare delivery. Journal of Medical Internet Research, 22(11), e20135. https://doi.org/10.2196/20135 

Krittanawong, C., Rogers, A. J., Johnson, K. W., Wang, Z., Turakhia, M. P., Halperin, J. L., & Narayan, S. M. (2020). Integration of novel monitoring devices with machine learning technology for scalable cardiovascular management. Nature Reviews Cardiology, 18(2), 75–91. https://doi.org/10.1038/s41569-020-00445-9 

Pandey, H., & Prabha, S. (2020). Smart health monitoring system using IoT and machine learning techniques. 2020 Sixth International Conference on Bio Signals, Images, and Instrumentation (ICBSII), 1–4. https://doi.org/10.1109/icbsii49132.2020.9167660 

Papa, A., Mital, M., Pisano, P., & Del Giudice, M. (2020). E-health and wellbeing monitoring using smart healthcare devices: An empirical investigation. Technological Forecasting and Social Change, 153, 119226. https://doi.org/10.1016/j.techfore.2018.02.018 

Stucky, C. H., De Jong, M. J., & Rodriguez, J. A. (2020). A five‐step evidence‐based practice primer for perioperative RNs. AORN Journal, 112(5), 506–515. https://doi.org/10.1002/aorn.13220 

NURS FPX 6025 Assessment 6 Practicum and MSN Reflection

Wilson, M. L., Elias, B. L., & Moss, J. A. (2020). Education in nursing informatics. Health Informatics, 23–43. https://doi.org/10.1007/978-3-030-53813-2_3 

Wranik, W. D., Price, S., Haydt, S. M., Edwards, J., Hatfield, K., Weir, J., & Doria, N. (2019). Implications of interprofessional primary care team characteristics for health services and patient health outcomes: A systematic review with narrative synthesis. Health Policy, 123(6), 550–563. https://doi.org/10.1016/j.healthpol.2019.03.015