NURS FPX 6214 Assessment 4 Staff Training Session
NURS FPX 6214 Assessment 4 Staff Training Session
Name
Capella university
NURS-FPX 6214 Health Care Informatics and Technology
Prof. Name
Date
Staff Training Session
Good morning, everyone. Today, I am excited to discuss how Remote Patient Monitoring (RPM) technology is transforming patient care at the Mayo Clinic, especially for individuals managing chronic heart failure (CHF). RPM enables continuous, real-time monitoring of vital signs and integrates smoothly with our electronic health records (EHR), facilitating proactive management and timely interventions.
This approach enhances patient outcomes, reduces hospital readmissions, and optimizes clinical workflows and resource utilization. Throughout this session, we will explore the key benefits, potential challenges, and strategic implementation of RPM, demonstrating its role in revolutionizing healthcare delivery and improving patient quality of life.
Purpose and Use of Remote Patient Monitoring
The primary purpose of RPM technology is to improve the management of chronic conditions such as CHF by continuously monitoring vital signs like heart rate, blood pressure, and weight. This technology allows for the collection and transmission of real-time data from patients’ homes, enabling early detection of potential health issues and timely interventions. RPM aims to enhance patient outcomes, reduce hospital readmissions, and improve clinical workflows by supporting proactive chronic disease management (Manavi et al., 2024). Additionally, RPM integrates with EHR systems, ensuring that patient data is easily accessible for informed clinical decision-making (Abdolkhani et al., 2021).
RPM technology is intended for use by various stakeholders in patient care. Healthcare providers, including physicians and nurse practitioners, analyze the data to make informed clinical decisions and adjust treatment plans accordingly. Patients with chronic conditions, such as CHF, benefit by being able to monitor their health regularly without requiring frequent in-person visits (Coffey et al., 2022). IT and EHR administrators play a crucial role in ensuring seamless system integration, while administrative personnel assess the financial and operational impact of the technology (Hamann et al., 2023).
For safe and effective use, RPM technology must be implemented in both home and clinical settings. Patients use RPM devices at home to track their vital signs, transmitting data to healthcare providers for ongoing monitoring and timely medical responses. In clinical environments, providers analyze this data to coordinate care and make necessary adjustments to treatment plans (Faragli et al., 2020). Effective RPM use requires robust EHR integration for accurate data capture and analysis (Pavithra et al., 2024). Furthermore, strong data security measures, including encryption and multi-factor authentication, are critical to ensuring compliance with the Health Insurance Portability and Accountability Act (HIPAA) (Turgut & Kutlu, 2024). Comprehensive training for both healthcare providers and patients is essential to maximize the technology’s effectiveness and address any operational concerns.
Risks and Benefits of Remote Patient Monitoring
RPM technology presents several potential risks, primarily concerning data security and privacy. Because RPM collects sensitive health information, ensuring robust encryption and cybersecurity measures is vital, though no system is entirely immune to breaches (Davis et al., 2022). Technical challenges, including system interoperability issues and network bandwidth limitations, can affect the reliability and efficiency of RPM (Zhu, 2022). Additionally, user resistance due to unfamiliarity with the technology can hinder adoption, making proper training and support essential (Shaik et al., 2023). Financial constraints may also present a barrier, as the initial costs of RPM implementation, including devices, software, and training, can be substantial (Kapur, 2023).
Despite these risks, RPM offers numerous benefits. It enhances patient outcomes by allowing real-time monitoring of vital signs, facilitating early detection of health issues, and enabling timely interventions. This proactive approach reduces hospital readmissions and improves chronic disease management (Manavi et al., 2024). RPM also improves care quality and safety by providing real-time data, which enhances treatment accuracy and care coordination through seamless EHR integration (Maloney & Hagens, 2021). Furthermore, RPM increases healthcare efficiency by automating data collection, reducing the need for in-person visits, and streamlining clinical workflows. Patients benefit from greater engagement in their health management, improved adherence to treatment plans, and better overall health outcomes (Baliga & Itchhaporia, 2022).
Some organizations choose not to implement RPM due to financial constraints, as acquiring and maintaining RPM systems requires significant investment. Organizations with limited budgets may prioritize other initiatives or struggle to justify the initial expenditure (Binci et al., 2021). Additionally, technical limitations, such as outdated infrastructure or inadequate IT resources, may prevent effective RPM integration (El-Rashidy et al., 2021). Resistance to change among healthcare providers and patients can also be a deterrent, requiring extensive training and support (Das et al., 2020). Finally, regulatory compliance concerns, particularly with HIPAA, can create additional challenges in implementing RPM technology (Ahmed & Kannan, 2021).
Deployment Requirements for Remote Patient Monitoring
The successful deployment of RPM at Mayo Clinic depends on several critical factors. A comprehensive assessment of the existing telehealth infrastructure is necessary to evaluate bandwidth, system interoperability, and network security for real-time data transmission and EHR integration (El-Rashidy et al., 2021). Upgrading network infrastructure and enhancing cybersecurity measures are essential to manage increased data volumes and protect patient information (Das et al., 2020).
Stakeholder engagement is vital for RPM implementation. The Chief Information Officer (CIO) focuses on aligning the system with technical goals, while the Chief Medical Officer (CMO) ensures it meets clinical needs for CHF management. Effective communication among IT staff, administrative personnel, and clinical teams supports a smooth transition and maximizes RPM effectiveness (Hersh, 2022).
Various staff members have distinct roles in RPM implementation. The project manager oversees deployment, sets objectives, tracks progress, and manages vendor relationships (Coffey et al., 2022). The IT team, led by the CIO, ensures network upgrades, hardware and software installation, and system compatibility with EHRs (Cousins et al., 2023). EHR administrators integrate RPM data into current records to facilitate comprehensive patient monitoring and reporting.
NURS FPX 6214 Assessment 4 Staff Training Session
Nursing staff play a crucial role in patient education and training. They must understand the technical aspects of RPM, assist patients with device setup, monitor data, troubleshoot issues, and interpret results for care planning (Shaik et al., 2023). Training strategies include hands-on workshops, user manuals, and interactive tutorials, with ongoing support through helpdesks and troubleshooting services (Ferrua et al., 2020).
Addressing knowledge gaps is crucial for successful RPM deployment at Mayo Clinic. Training needs may evolve, requiring ongoing assessment and refinement (Claggett et al., 2024). Bandwidth requirements may vary with patient volume, necessitating periodic adjustments (Manavi et al., 2024). Keeping pace with regulatory and cybersecurity developments requires continuous consultation with legal and compliance experts (Turgut & Kutlu, 2024).
NURS FPX 6214 Assessment 4 Staff Training Session
| Heading | Details |
|---|---|
| Purpose and Use of RPM | RPM improves chronic disease management by monitoring vital signs, detecting health issues early, and integrating data with EHR for proactive patient care. |
| Intended Users | Physicians, nurse practitioners, IT staff, and administrators benefit from RPM, while CHF patients use it for at-home monitoring and improved self-management. |
| Safe and Effective Use | Effective RPM use requires EHR integration, data security (encryption and authentication), and comprehensive training for patients and healthcare providers. |
| Risks and Benefits of RPM | Risks include data security issues, technical challenges, and high costs. Benefits include improved patient outcomes, reduced readmissions, and workflow efficiency. |
| Deployment Requirements | Key factors include telehealth infrastructure assessment, stakeholder engagement, and defined roles for project managers, IT teams, and nursing staff. |
| Nursing Staff Training | Training covers device usage, data interpretation, and troubleshooting, with ongoing workshops and technical support to ensure effective implementation. |
References
Abdolkhani, R., Gray, K., Borda, A., & DeSouza, R. (2021). Recommendations for quality management of patient-generated health data in remote patient monitoring (Preprint). JMIR MHealth and UHealth. https://doi.org/10.2196/35917
Ahmed, M. I., & Kannan, G. (2021). Secure and lightweight privacy preserving internet of things integration for remote patient monitoring. Journal of King Saud University – Computer and Information Sciences. https://doi.org/10.1016/j.jksuci.2021.07.016
Baliga, R. R., & Itchhaporia, D. (2022). Digital health, an issue of heart failure clinics, E-Book. Google Books. https://books.google.com/books?hl=en&lr=&id=CkJpEAAAQBAJ&oi=fnd&pg=PP1&dq=Baliga
NURS FPX 6214 Assessment 4 Staff Training Session Binci, D., Palozzi, G., & Scafarto, F. (2021). Toward digital transformation in healthcare: A framework for remote monitoring adoption. The TQM Journal, ahead-of-print(ahead-of-print). https://doi.org/10.1108/tqm-04-2021-0109
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NURS FPX 6214 Assessment 4 Staff Training Session
Coffey, J. D., Christopherson, L. A., Glasgow, A. E., Pearson, K. K., Brown, J. K., Gathje, S. R., Sangaralingham, L. R., Carmona Porquera, E. M., Virk, A., Orenstein, R., Speicher, L. L., Bierle, D. M., Ganesh, R., Cox, D. L., Blegen, R. N., & Haddad, T. C. (2021). Implementation of a multisite, interdisciplinary remote patient monitoring program for ambulatory management of patients with COVID-19. Npj Digital Medicine, 4(1), 1–11. https://doi.org/10.1038/s41746-021-00490-9
NURS FPX 6214 Assessment 4 Staff Training Session 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 during an international systemic crisis in the United States and Abu Dhabi, United Arab Emirates. International Journal of Medical Informatics, 176, 105113. https://doi.org/10.1016/j.ijmedinf.2023.105113
Claggett, J., Petter, S., Joshi, A., Ponzio, T., & Kirkendall., E. (2024). An infrastructure framework for remote patient monitoring interventions and research (Preprint). JMIR. Journal of Medical Internet Research/Journal of Medical Internet Research, 26, e51234–e51234. https://doi.org/10.2196/51234
Das, S., Siroky, G. P., Lee, S., Mehta, D., & Suri, R. (2020). Cybersecurity: The need for data and patient safety with cardiac implantable electronic devices. Heart Rhythm, 18(3). https://doi.org/10.1016/j.hrthm.2020.10.009
Davis, M., Kirwan, M., Maclay, W., & Pappas, H. (2022). Closing the care gap with wearable devices. Google Books. https://books.google.com/books?hl=en&lr=&id=Q5eSEAAAQBAJ&oi=fnd&pg=PT9&dq=RPM+technolog+it+collects+sensitive+health+information+on+conditions+like+Congestive+Heart+Failure+(CHF).+Ensuring+robust+encryption+and+advanced+cybersecurity+measures+is+crucial
NURS FPX 6214 Assessment 4 Staff Training Session
NURS FPX 6214 Assessment 4 Staff Training Session El-Rashidy, N., El-Sappagh, S., Islam, S. M. R., El-Bakry, H. M., & Abdelrazek, S. (2021). Mobile health in remote patient monitoring for chronic diseases: Principles, trends, and challenges. Diagnostics, 11(4). https://doi.org/10.3390/diagnostics11040607
Faragli, A., Abawi, D., Quinn, C., Cvetkovic, M., Schlabs, T., Tahirovic, E., Düngen, H.-D. ., Pieske, B., Kelle, S., Edelmann, F., & Alogna, A. (2020). The role of non-invasive devices for the telemonitoring of heart failure patients. Heart Failure Reviews. https://doi.org/10.1007/s10741-020-09963-7
Ferrua, M., Minvielle, E., Fourcade, A., Lalloué, B., Sicotte, C., Di 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
Hamann, P., Knitza, J., Kuhn, S., & Knevel, R. (2023). Recommendation to implementation of remote patient monitoring in rheumatology: Lessons learned and barriers to take. RMD Open, 9(4), e003363–e003363. https://doi.org/10.1136/rmdopen-2023-003363
Hersh, W. (2022). Health informatics practical guide, 8th Edition. https://dmice.ohsu.edu/hersh/informaticsbook/sample.pdf
Kapur. (2023). Digital platforms and transformation of healthcare organizations. Google Books. https://books.google.com/books?hl=en&lr=&id=yvvSEAAAQBAJ&oi=fnd&pg=PT11&dq=Financial+investments+are+needed+for+the+acquisition+of+technology
Kolnick, H. A., Miller, J., Dupree, O., & Gualtieri, L. (2021). Design thinking to create a remote patient monitoring platform for older adults’ homes. Online Journal of Public Health Informatics, 13(1). https://doi.org/10.5210/ojphi.v13i1.11582
NURS FPX 6214 Assessment 4 Staff Training Session Maloney, S., & Hagens, S. (2021). Connected health and the digital patient. Health Informatics, 203–231. https://doi.org/10.1007/978-3-030-58740-6_8
Manavi, T., Zafar, H., & Sharif, F. (2024). An era of digital healthcare—A comprehensive review of sensor technologies and telehealth advancements in chronic heart failure management. Sensors, 24(8), 2546. https://doi.org/10.3390/s24082546
NURS FPX 6214 Assessment 4 Staff Training Session
Olawade, A. C. D., Olawade, D. B., Ojo, I. O., Famujimi, M. E., Olawumi, T. T., & Esan, D. T. (2024). Nursing in the digital age: Harnessing telemedicine for enhanced patient care. Informatics and Health, 1(2), 100–110. https://doi.org/10.1016/j.infoh.2024.07.003
Pavithra, L. S., Khurdi, S., & Priyanka, T. G. (2024). Impact of remote patient monitoring systems on nursing time, healthcare providers, and patient satisfaction in general wards. Cureus, 16(6). https://doi.org/10.7759/cureus.61646
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. WIREs Data Mining and Knowledge Discovery, 13(2). https://doi.org/10.1002/widm.1485
Trivedi, J., & Mohammad, T. (2024). Security enhanced cloud-based remote patient monitoring system with human digital twin and OPC UA. https://www.utupub.fi/bitstream/handle/10024/178849/Jolly_Trivedi_Master_Thesis.pdf?sequence=-1
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Zhu, Y. (2022). Smart remote personal health monitoring system: Addressing challenges of missing and conflicting data. Mit.edu. https://hdl.handle.net/1721.1/144918