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NURS FPX 6412 Assessment 2 Presentation to the Organization

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    NURS FPX 6412 Assessment 2 Presentation to the Organization

    Student Name

    Capella University

    NURS-FPX 6412 Analysis of Clinical Information Systems and Application to Nursing Practice

    Prof. Name

    Date

    Presentation to the Organization

    Hello, my name is [Your Name], and I am here to discuss the eTAR system, which stands for Electronic Treatment Administration Record. This system serves as a digital health records solution, facilitating the comprehensive management of medication and therapy through both online and offline applications. The eTAR ensures real-time recording, collection, and reporting of resident data, providing secure and practical access to medication records.

    Change in Workflow with the Use of Evidence-Based Practice

    Electronic Health Records (EHR) offer detailed information contributing to health outcomes. Compared to traditional documentation methods, electronic records provide more comprehensive patient data. Healthcare providers can achieve accurate assessments over time by monitoring changes, such as cholesterol levels and weight. The eTAR data supports primary care professionals in developing better strategies for managing, preventing, and screening chronic diseases, serving as valuable research material (Zheng et al., 2020).

    The eTAR simplifies clinicians’ workload, allowing them to see more patients by providing access to thorough patient histories on a single screen. This can save doctors’ time spent searching for results and reports. Notable benefits include the availability of laboratory results, medication error alerts, remote access to patient charts, and reminders for preventive care. EHRs offer resources to identify patient risks, leading to higher-quality care and improved patient-provider communication (ARAS, 2021). For instance:

    • Electronic Medication and Treatment Administration is streamlined.
    • Clinicians can document all information on a single screen.
    • Medication adjustments are reflected in real-time at the point of care.
    • Nurses can modify medications and treatments promptly.
    • Real-time drug interactions and alerts are available.
    • Medication errors are reduced through alerts for missed or overdue treatments.

    Evaluation of Workflow that Supports Strategic Plan

    The eTAR system aligns with the organization’s strategic plan, contributing to improved health outcomes, patient care, safety, technological advancements, and treatment quality. It enhances care quality, leading to better patient outcomes and increased management efficiency. The system reduces medication errors, unnecessary investigations, and fosters improved interactions between primary care providers and patients (Fuller, 2019).

    Improved Care and Patient Outcomes

    The eTAR not only streamlines healthcare professionals’ tasks but also enhances patient safety and care. It aids in clinical data management, making valuable information more accessible. Additionally, it expedites time-consuming medical procedures (Lyles et al., 2020).

    Patients benefit from better clinical care when healthcare professionals have complete and reliable data. The eTAR helps in monitoring medications, storing data about primary care providers, and notifying clinicians in emergencies, thereby improving patient care (Lindberg et al., 2020).

    Workflow Changes for Stakeholders/Practitioners/End Users

    The successful implementation of the eTAR system requires a well-defined strategy considering the impact on stakeholders, healthcare providers, and end users. Key stakeholders in the decision-making process include clinicians, nurse informaticists, billing teams, administration, and marketing teams. Involving these stakeholders is crucial as their perspectives contribute to the comprehensive evaluation of the new system’s suitability (Farre et al., 2019).

    Stakeholders Affected by the Change and Efficiency Gains

    The implementation of the eTAR system yields efficiency gains and positively impacts various stakeholders. By reducing the risks of medication errors and enhancing organizational effectiveness, eTAR systems contribute to patient safety and overall healthcare quality (Awad et al., 2021).

    The system benefits healthcare professionals in delivering safer care, improving healthcare convenience, enhancing communication, and facilitating the exchange of electronic information. It also aids billing teams by eliminating paperwork and simplifying work processes, supporting marketing efforts by showcasing system features that enhance patient-physician communication (Kruse et al., 2018).

    Decision-Making Rationale for the Workflow Changes

    The decision to implement the eTAR system is driven by its potential to enhance the organization’s workflow and positively impact stakeholders. The system incorporates comprehensive patient medical records, improving provider workflows, patient care, and participation in decision-making. This results in better patient diagnosis, improved health outcomes, and increased operational efficiency and cost savings (Wang & Laramee, 2021).

    Strategies to Maximize Efficiency, Safety, and Patient Satisfaction Using eTAR

    To maximize efficiency, safety, and patient satisfaction, the eTAR system can leverage online experiences for scheduling appointments and streamline data collection processes. Online appointment scheduling allows patients to manage their visits conveniently, while efficient data collection through checkpoints reduces manual errors and enhances team productivity. These strategies contribute to improved communication, time savings, and reduced paper usage (Baumann et al., 2018).

    Conclusion

    In conclusion, the eTAR system presents a comprehensive solution for healthcare paperwork. Its availability in both online and offline applications facilitates real-time recording, collection, and reporting of resident data, providing secure and practical access to medication records.

    References

    ARAS, S. (2021). Investigation of the effects on dose calculations of correction-based algorithms in different tissue mediums. Celal Bayar Üniversitesi Fen Bilimleri Dergisi. https://doi.org/10.18466/cbayarfbe.841547

    Baumann, L. A., Baker, J., & Elshaug, A. G. (2018). The impact of electronic health record systems on clinical documentation times: A systematic review. Health Policy, 122(8), 827–836. https://doi.org/10.1016/j.healthpol.2018.05.014

    Cajander, Å., & Grünloh, C. (2019). Electronic health records are more than a work tool. Proceedings of the 2019 CHI conference on human factors in computing systems – CHI ’19. https://doi.org/10.1145/3290605.3300865

    Farre, A., Heath, G., Shaw, K., Bem, D., & Cummins, C. (2019). How do stakeholders experience the adoption of electronic prescribing systems in hospitals? A systematic review and thematic synthesis of qualitative studies. BMJ Quality & Safety, 28(12), bmjqs-2018-009082. https://doi.org/10.1136/bmjqs-2018-009082

    NURS FPX 6412 Assessment 2 Presentation to the Organization

    Fuller, A. (2019). Electronic medication administration records and barcode medication administration to support safe medication practices in long-term care facilities. ERA. https://era.library.ualberta.ca/items/5f13a1b6-a1e2-4f13-8b1d-7ea531d24c42

    Klecun, E., Zhou, Y., Kankanhalli, A., Wee, Y. H., & Hibberd, R. (2019). The dynamics of institutional pressures and stakeholder behavior in national electronic health record implementations: A tale of two countries. Journal of Information Technology, 026839621882247. https://doi.org/10.1177/0268396218822478

    Kruse, C. S., Stein, A., Thomas, H., & Kaur, H. (2018). The use of Electronic Health Records to support population health: A systematic review of the literature. Journal of Medical Systems, 42(11). https://doi.org/10.1007/s10916-018-1075-6

    Lindberg, D. S., Prosperi, M., Bjarnadottir, R. I., Thomas, J., Crane, M., Chen, Z., Shear, K., Solberg, L. M., Snigurska, U. A., Wu, Y., Xia, Y., & Lucero, R. J. (2020). Identification of important factors in an inpatient fall risk prediction model to improve the quality of care using EHR and electronic administrative data: A machine-learning approach. International Journal of Medical Informatics, 143, 104272. https://doi.org/10.1016/j.ijmedinf.2020.104272

    NURS FPX 6412 Assessment 2 Presentation to the Organization

    Lyles, C. R., Nelson, E. C., Frampton, S., Dykes, P. C., Cemballi, A. G., & Sarkar, U. (2020). Using electronic health record portals to improve patient engagement: Research priorities and best practices. Annals of Internal Medicine, 172(11_Supplement), S123–S129. https://doi.org/10.7326/m19-0876

    Wang, Q., & Laramee, R. S. (2021). EHR star: The state‐of‐the‐art in interactive EHR Visualization. Computer Graphics Forum. https://doi.org/10.1111/cgf.14424

    Zheng, K., Ratwani, R. M., & Adler-Milstein, J. (2020). Studying workflow and workarounds in electronic health record–supported work to improve health system performance. Annals of Internal Medicine, 172(11_Supplement), S116–S122. https://doi.org/10.7326/m19-0871