NURS FPX 6412 Assessment 2 Presentation to the Organization

Presentations to the Organization

Slide 2

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

The addition of Epic Systems to St. Paul Regional Health Center is a big step forward in how health services are delivered. Its goal is to complete the perfection hill practice (EBP) and make the patient’s care better and more efficient. This donation shows how much the Advanced Electronic Health Record System (EHR) has changed things. The goal is to lessen its effect on strategic adaptation, workflow with related articles, and healthcare professionals. We will learn how these changes help with overall safety, efficiency, and patient satisfaction. We will also stress how the Epic system at St. Paul helps the regional health station send out high-quality casualty cases (Chishi et al., 2023).

Slide 3

Workflow/System Change

The preface of Epic Systems at St. Paul Regional Health Center signifies a significant transformation in workflow and system operations, motivated by the objective to improve evidence-based practice and elevate the quality and efficacy of patient care. This change had to happen because the EHR has more advanced features that provide clinicians immediate access to all of a patient’s case data, make clinical processes easier, and help them make decisions by giving them real-time, evidence-based guidelines (Vos et al., 2020).

The switch to Epic Systems meets important needs, such as lowering crime rates, cutting down on extra work, and making sure that clinical practices stay in line with the latest research. Healthcare providers can make informed decisions, tailor treatments, and avoid unnecessary tests when they have instant access to patient data. The addition of clinical decision support tools, such as cautions and monuments, also makes sure that croakers follow best practices, which lowers the risk of problems (Bhati, 2023).

Also, automating things like entering orders, giving drugs, and collecting patient data cuts down on homemade attestation, which lowers the chances of making mistakes and provides more time for direct case care. The system’s use of standardized order sets and clinical decision support makes sure that the information is accurate and works together, which improves EBP. This change in the system fits with the sanitarium’s long-term goals by encouraging decision-making based on data, improving care collaboration, and fixing clinical problems and patient satisfaction (Sutton et al., 2020).

Slide 4

Supporting the Strategic Plan: Quality Outcomes and Decision-Making

The change in workflow made by Epic Systems directly helps St. Paul Regional Health Center reach its strategic goals, especially when it comes to quality issues and making decisions using informatics. EHR combines patient data, clinical guidelines, and decision support tools on one platform. This process is in line with high-quality, confirmation cutters and case-centered care (Scalia et al., 2021), with the hope of the sunshine.

The Epic system makes sure that health professionals work with the most relevant and accurate data by forcing patient data and giving them real-time access to it. This leads to better quality problems because it allows for personalized treatment plans, cuts down on unnecessary tests, and lowers the chance of medical errors. Better Clinical Decision Support (CDS) also improves quality by reducing costs for suppliers, which encourages collaboration among healthcare professionals in an effective manner (Pavalak et al., 2022).

Slide 5

The St. Paul Regional Health Center’s strategic plan stresses making decisions based on data to speed up case processing. The EPIC system helps by giving you advanced tools for analyzing and reporting on non-stopping and clinical practice. These units assist healthcare professionals in recognizing trends, evaluating performance, and executing advancements based on real-time data and validation (Allen & Pak, 2022).

The system’s ability to analyze large amounts of patient data makes it possible to make smart decisions in both individual cases and organizational settings. For example, CDS warns that managing chronic conditions like diabetes requires providers to follow recommended protocols, resolve patient issues, and align with the sanitarium’s strategic goals. Grand Systems’ all-encompassing method of handling patient data helps businesses improve all the time, including providing timely care based on the most up-to-date scientific knowledge. This change shows that the organization is dedicated to the patient’s care experience and leads to better clinical outcomes, safety, and overall Santa performance (Jhao et al., 2023).

Slide 6

Rationale for Workflow Changes for Stakeholders

After seeing how Epic systems affected a wide range of stakeholders, such as health professionals, performing staff, and cases, the decision was made to use them. We considered each group’s specific needs and connections to ensure the system’s functionality (Avdagovska et al., 2020).

Healthcare professionals play a crucial role in making clinical decisions and transforming patient care. The big system makes quick decisions and fast fires, which gives you real-time access to clinical decision support units, grounded guidelines, and patient data. Because of this, there is more time for a lack of crime, small extra tasks, and direct case care. Additionally, automated order entries and standardized workflows improve efficiency, while stylish practices may lead to an increase in patient problems (Alexuk et al., 2023).

Executive and administrative staff benefit from being able to better and more carefully handle patient data. Grand Systems automates tasks like data entry, scheduling, and billing. Such automation makes it less likely for people to commit crimes and makes it less likely for people to make false statements. The system also makes it possible to make detailed reports and analytics about performance, which helps with data-driven decision-making and fits with the sanitarium’s strategic goals of high-quality care and functional excellence (Bhati, 2023).

Slide 7

The main reason for the changes in the workflow is to improve the quality of care and satisfaction for cases. Grand Systems provides a perfect healthcare experience, with timely and accurate treatment plans, shorter wait times, and better communication with providers. The patient portal point lets patients see their medical records, talk to their care team, and make appointments, which makes them more involved and happy. Research indicates that individuals utilizing online portals are more inclined to adhere to care recommendations and report heightened satisfaction (Upadhyay & Hu, 2022).

Interprofessional Care brigades The changes also help interprofessional care brigades by making it easier for healthcare professionals to work together and talk to each other. Grand Systems makes sure that every member of the platoon can see the most up-to-date case data, which is necessary for providing coordinated care. This integrated approach makes the terrain safer and more useful, lowering the risk of crimes and misunderstandings. Epic Systems supports interprofessional collaboration, which is in line with the sanitarium’s strategic goals of improving patient care and creating a culture of cooperation (Vos et al., 2020).

Slides 8-11

(These slides go on to talk about how Epic Systems has helped the company, how it has made things more efficient, and what effect it has had overall.)

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., and Eastwood, C. A. (2023). Utilization of the EPIC electronic health record system for healthcare 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., and Shaw, T. (2022). The study conducted a thorough analysis of quality measurement and feedback systems that rely on electronic medical records. 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., and Liepert, A. E. (2022). The study involved the creation and execution of an automated electronic health record-integrated 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). Patients’ engagement with electronic health records as research participants holds significant power. 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). The study conducted a scoping review to explore the perspectives of patients and healthcare providers regarding patient access to test results via web portals. 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). This study examines the integration of option grid patient decision aids into the EPIC electronic health record across five 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 study examines the impact of electronic health record use on collaboration among various 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