NURS FPX 6214 Assessment 3 Implementation Plan
NURS FPX 6214 Assessment 3 Implementation Plan
Name
Capella university
NURS-FPX 6214 Health Care Informatics and Technology
Prof. Name
Date
Implementation Plan
Technological advancements are reshaping healthcare by enabling more efficient delivery of care directly to patients’ homes. To maintain a competitive edge and enhance patient outcomes, integrating innovative technologies is essential (AlQudah et al., 2021). At the Mayo Clinic, the proposed Remote Patient Monitoring (RPM) system aims to enhance real-time health data collection, particularly for managing Congestive Heart Failure (CHF). This implementation plan outlines the necessary steps for successfully deploying this telehealth innovation to ensure positive patient outcomes.
Assessment of Existing Infrastructure and Identification of Gaps
Evaluating the Mayo Clinic’s current telehealth infrastructure is critical for the successful implementation of the RPM system. Key aspects include assessing network capacity, system compatibility, and security protocols to ensure seamless integration with Electronic Health Records (EHR) (El-Rashidy et al., 2021). Upgrading infrastructure will be essential to accommodate RPM demands, including increasing network performance, memory capacity, and data security.
The system integration process involves ensuring that RPM devices connect efficiently with existing platforms and have the necessary processing power for continuous data transmission. Additionally, improvements in data management capabilities and security frameworks will help prevent disruptions in CHF management and improve overall healthcare delivery (Boikanyo et al., 2023). Addressing these infrastructure gaps will facilitate smooth implementation and enhance patient care outcomes.
Assignment of Tasks and Responsibilities
The successful deployment of the RPM system requires clear task allocation among healthcare teams. While overall system management will be the responsibility of the project manager, patient education and engagement will be led by clinical staff to ensure patients understand the new technology (Coffey et al., 2022). This approach ensures continuity of care and maximizes patient adherence to remote monitoring protocols.
The IT team, under the Chief Information Officer (CIO), will oversee the technical setup and data security measures. Their responsibilities include ensuring system compatibility with the existing EHR and implementing cybersecurity measures to protect patient information (Cousins et al., 2023). Additionally, the training manager will be responsible for educating healthcare providers on RPM usage and integrating patient monitoring workflows into routine care. Delegating tasks based on expertise will enhance efficiency and streamline implementation.
Implementation Schedule
A structured timeline will guide the RPM system’s implementation at the Mayo Clinic. The preparation phase, spanning one month, will focus on stakeholder engagement and resource acquisition. This will be followed by a one-month setup period for infrastructure development and device integration. A subsequent one-month training phase will ensure all personnel are proficient in using the system (Ferrua et al., 2020).
The trial phase, lasting one month, will test the RPM system in a controlled setting to collect feedback and make necessary adjustments. Finally, the full-scale deployment phase, extending over two months, will ensure continuous monitoring, troubleshooting, and staff support. In case of delays, an additional month will be allocated to the trial phase to refine the system before full implementation. This phased approach minimizes disruptions and allows for a smoother transition to the new RPM framework (Lawrence et al., 2023).
NURS FPX 6214 Assessment 3 Implementation Plan
| Implementation Plan | Details | References |
|---|---|---|
| Assessment of Existing Infrastructure and Identification of Gaps | Evaluating current telehealth capabilities, including network performance and system compatibility, to integrate RPM successfully. Upgrading data security protocols and enhancing EHR connectivity. | El-Rashidy et al. (2021); Boikanyo et al. (2023) |
| Assignment of Tasks and Responsibilities | Project manager oversees execution, IT team ensures technical setup, and clinical staff handles patient education. Clear task delegation improves efficiency. | Coffey et al. (2022); Cousins et al. (2023) |
| Implementation Schedule | Stepwise deployment over six months: preparation (1 month), setup (1 month), training (1 month), trial (1 month), and full implementation (2 months). Trial phase may be extended for refinements. | Ferrua et al. (2020); Lawrence et al. (2023) |
References
AlQudah, A. A., Al-Emran, M., & Shaalan, K. (2021). Technology acceptance in healthcare: A systematic review. Applied Sciences, 11(22). https://doi.org/10.3390/app112210537
Boikanyo, K., Zungeru, A. M., Sigweni, B., Yahya, A., & Lebekwe, C. (2023). Remote patient monitoring systems: Applications, architecture, and challenges. Scientific African, 20(1), e01638. https://doi.org/10.1016/j.sciaf.2023.e01638
Coffey, J. D., Christopherson, L. A., Williams, R. D., Gathje, S. R., Bell, S. J., Pahl, D. F., … & Haddad, T. C. (2022). Development and implementation of a nurse-based remote patient monitoring program for ambulatory disease management. Frontiers in Digital Health, 4, 1052408. https://doi.org/10.3389/fdgth.2022.1052408
Cousins, K., Hertelendy, A. J., Chen, M., Durneva, P., & Wang, S. (2023). Building resilient hospital information technology services through organizational learning: Lessons in CIO leadership. International Journal of Medical Informatics, 176, 105113. https://doi.org/10.1016/j.ijmedinf.2023.105113
NURS FPX 6214 Assessment 3 Implementation Plan
El-Rashidy, N., Sappagh, S., Islam, S. M. R., Bakry, H., & Abdelrazek, S. (2021). Mobile health in remote patient monitoring for chronic diseases: Principles, trends, and challenges. Diagnostics, 11(4), 607. https://doi.org/10.3390/diagnostics11040607
Ferrua, M., Minvielle, E., Fourcade, A., Lalloué, B., Sicotte, C., Palma, M., & Mir, O. (2020). How to design a remote patient monitoring system? A French case study. BMC Health Services Research, 20(1). https://doi.org/10.1186/s12913-020-05293-4
Lawrence, K., Singh, N., Jonassen, Z., Groom, L. L., Alfaro Arias, V., Mandal, S., … & Dove, G. (2023). Operational implementation of remote patient monitoring within a large ambulatory health system: Multimethod qualitative case study. JMIR Human Factors, 10, e45166. https://doi.org/10.2196/45166