NURS FPX 6412 Assessment 2 Presentation to the Organization

Presentation to the Organization

Slide 2

Hello, everyone. I hope you’re doing well.

The integration of Epic Systems at St. Paul Regional Health Center represents an important metamorphosis in the delivery of health services, which aims to complete the perfection hill practice (EBP) and improve the quality and efficiency of the patient’s care. This donation highlights the significant changes introduced by the Advanced Electronic Health Record System (EHR), which aim to reduce its impact on strategic adaptation, workflow with associated articles, and healthcare professionals. We will find out how these changes contribute to general efficiency, safety, and patient satisfaction, and emphasize how the Epic system at St. Paul supports the regional health station in distributing high-quality casualty cases (Chishi et al., 2023).

Slide 3

Workflow/System Change

The preface of Epic Systems at St. Paul Regional Health Center marks a substantial shift in workflow and system operations, driven by the desire to enhance EBP and ameliorate the quality and effectiveness of patient care. This shift was necessary due to the advanced functionalities of the EHR, which provide immediate access to comprehensive case data, streamline clinical processes, and support clinical decision-making with real-time, substantiation-grounded guidelines (Vos et al., 2020).

The transition to Epic Systems addresses critical requirements similar to reducing crimes, minimizing spare tasks, and ensuring clinical practices remain aligned with the foremost exploration. With instant access to patient data, healthcare providers are equipped to make informed opinions, customize treatments, and avoid gratuitous tests. Also, the integration of clinical decision support tools similar to cautions and monuments further ensures that croakers follow stylish practices, eventually reducing the threat of negative issues (Bhati, 2023).

Also, the robotization of tasks like order entry, drug administration, and patient data collection reduces homemade attestation, which minimizes error pitfalls and allows further time for direct case care. The system’s use of standardized order sets and clinical decision support further guarantees harmonious and accurate information, enhancing EBP. This system change aligns with the sanitarium’s strategic pretensions by promoting data-driven decision-making, enhancing care collaboration, and perfecting clinical issues and patient satisfaction (Sutton et al., 2020).

Slide 4

Supporting the Strategic Plan: Quality Outcomes and Decision-Making

The workflow change eased by Epic Systems directly supports St. Paul Regional Health Center’s strategic objectives, particularly in the areas of quality issues and decision-making via informatics. EHR integrates patient data, clinical guidelines, and decision support equipment in the same platform, which corresponds to high-quality, confirmation cutters and case-centered care (Scalia et al., 2021) with an expectation of the sunshine.

By forcing patient data and providing real-time access to this information, the Epic system ensures that health professionals work with the most relevant and accurate data available to inform their clinical opinion. This contributes to better quality problems by enabling personal treatment plans, reducing further testing, and reducing the risk of medical offenses. Similarly, Better Clinical Decision Support (CDS) reduces quality to reduce suppliers, which motivates to coordinate harmoniously stylish practice (Pavalak et al., 2022).

Slide 5

The strategic plan at the St. Paul Regional Health Center emphasizes data-driven decisions for increased case processing. The EPIC system supports by providing advanced analyses and reporting tools to evaluate non-stopping and clinical practice. These units help health professionals identify trends, assess performance, and implement progress based on real-time data and confirmation (Allen & Pak, 2022).

The system’s capability to dissect large volumes of patient data enables informed decision-making in both individual cases and organizational situations. For illustration, CDS cautions for managing habitual conditions, similar to diabetes, ensure that providers follow recommended protocols, address patient issues, and align with the sanitarium’s strategic pretensions. Grand Systems’ comprehensive approach to managing patient information supports nonstop enterprise enhancement, including timely care grounded on the foremost scientific knowledge. This adjustment outlines the association’s commitment to the patient’s care experience and improves clinical results, safety, and general Santa performance (Jhao et al., 2023).

Slide 6

Rationale for Workflow Changes for Stakeholders

The decision to implement Epic systems was made after noticing its impact on colorful stakeholders, including health professionals, performing staff, and cases. Each group’s specific requirements and ties were addressed to adapt to the success of the system (Avdagovska et al., 2020).

Healthcare professionals are the most important thing to make clinical decisions and change patient treatment norms. The large system provides fast fires and accurate decisions, which creates real-time access to grounded guidelines, clinical decision support units, and patient data. As a result, there is additional time for a lack of crime, small additional functions, and direct case care. In addition, automated order entries and standardized streamlining workflows,stylish practices, and eventually lead to more patient problems (Alexuk et al., 2023).

Executive staff and administrative staff benefit from enhanced effectiveness and delicacy in managing patient data. Grand Systems automates tasks similar to data entry, scheduling, and billing, reducing homemade attestation and minimizing crimes. The system also enables the generation of detailed reports and analytics to cover performance, supporting data-driven decision-making and aligning with the sanitarium’s strategic pretensions of functional excellence and high-quality care (Bhati, 2023).

Slide 7

For cases, the explanation for the workflow changes is concentrated on enhancing care quality and satisfaction. Grand Systems offers a flawless healthcare experience, including timely and accurate treatment plans, reduced delay times, and better communication with providers. The patient portal point enables patients to view medical records, communicate with their care platoon, and schedule movables, leading to advanced engagement and satisfaction. Studies show that cases using online doors are more likely to follow care recommendations and report advanced satisfaction (Upadhyay & Hu, 2022).

Interprofessional Care brigades The changes also benefit interprofessional care brigades by fostering better collaboration and communication among healthcare professionals. Grand Systems ensures that all platoon members have access to the most up-to-date case data, essential for furnishing coordinated care. This integrated approach promotes a safer and further effective terrain, reducing the liability of crimes and miscommunication. By supporting interprofessional collaboration, Epic Systems aligns with the sanitarium’s strategic pretensions of perfecting patient issues and fostering a culture of cooperation (Vos et al., 2020).For step-by-step support, explore our complete NURS FPX 6412 Assessment 2 Presentation To The Organization sample written by professional nursing tutors.

Table: Summary of Key Workflow Changes by Stakeholder

Slides 8-11

(These slides continue detailing the benefits, efficiency gains, and overall impact of Epic Systems on the organization.)

NURS FPX 6412 Assessment 2 Presentation to the Organization

Chishtie, J., Sapiro, N., Wiebe, N., Rabatach, L., Lorenzetti, D., Leung, A. A., Rabi, D., Quan, H., & Eastwood, C. A. (2023). Use of the EPIC electronic health record system for health care research: A scoping review. Journal of Medical Internet Research, 25(1), e51003. https://doi.org/10.2196/51003

Donnelly, C., Janssen, A., Vinod, S., Stone, E., Harnett, P., & Shaw, T. (2022). A systematic review of electronic medical record-driven quality measurement and feedback systems. International Journal of Environmental Research and Public Health, 20(1), 200. https://doi.org/10.3390/ijerph20010200

Mou, Z., Sitapati, A. M., Ramachandran, M., Doucet, J. J., & Liepert, A. E. (2022). Development and implementation of an automated electronic health record-linked registry for emergency general surgery. Journal of Trauma and Acute Care Surgery. https://doi.org/10.1097/ta.0000000000003582

Pawelek, J., Baca-Motes, K., Pandit, J. A., Berk, B. B., & Ramos, E. (2022). The power of patient engagement with electronic health records as research participants. JMIR Medical Informatics, 10(7). https://doi.org/10.2196/39145

Petrovskaya, O., Karpman, A., Schilling, J., Singh, S., Wegren, L., Caine, V., Kusi-Appiah, E., & Geen, W. (2023). Patient and healthcare provider perspectives on patient access to test results via web portals: Scoping review. Journal of Medical Internet Research, 25(1), e43765. https://doi.org/10.2196/43765

NURS FPX 6412 Assessment 2 Presentation to the Organization

Scalia, P., Ahmad, F., Schubbe, D., Forcino, R., Durand, M.-A., Barr, P. J., & Elwyn, G. (2021). Integrating option grid patient decision aids in the EPIC electronic health record: A case study at 5 health systems. Journal of Medical Internet Research, 23(5), e22766. https://doi.org/10.2196/22766

Sutton, R., Pincock, D., Baumgart, D., Sadowski, D., Fedorak, R., & Kroeker, K. (2020). An overview of clinical decision support systems: Benefits, risks, and strategies for success. NPJ Digital Medicine, 3(1), 1–10. 

Upadhyay, S., & Hu, H. (2022). A qualitative analysis of the impact of electronic health records (EHR) on healthcare quality and safety: Clinicians’ lived experiences. Health Services Insights, 15(1), 1–7. https://doi.org/10.1177/11786329211070722

Vos, J. F. J., Boonstra, A., Kooistra, A., Seelen, M., & van Offenbeek, M. (2020). The influence of electronic health record use on collaboration among medical specialties. BioMedCentral BMC Health Services Research, 20(1), 676. https://doi.org/10.1186/s12913-020-05542-6

Zhao, C., Liang, N., Zhang, H., Li, H., Yang, Y., Zong, X., Chen, Y., Wang, Y., & Shi, N. (2023). Harnessing the power of clinical decision support systems: Challenges and opportunities. Open Heart, 10(2), 1–11. https://doi.org/10.1136/openhrt-2023-002432