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 a significant metamorphosis in healthcare delivery, aimed at perfecting substantiation-grounded practice (EBP) and enhancing patient care quality and effectiveness. This donation outlines the major changes introduced by the advanced Electronic Health Record (EHR) system, pressing its impact on workflow, strategic alignment with the association’s objects, and benefits for crucial stakeholders such as healthcare providers, executive staff, cases, and interprofessional care brigades. We’ll explore how these changes contribute to overall effectiveness, safety, and patient satisfaction, emphasizing how Epic Systems supports St. Paul Regional Health Center’s commitment to delivering high-quality, case-centered care (Chishtie 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 give 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. The EHR integrates patient data, clinical guidelines, and decision support tools into a single platform, aligning with the sanitarium’s thing of furnishing high-quality, substantiation-grounded, case-centered care (Scalia et al., 2021).

By consolidating patient data and offering real-time access to this information, Epic Systems ensures that healthcare providers are working with the most current and accurate data available to inform their clinical opinions. This contributes to better quality issues by enabling individualized treatment plans, reducing spare testing, and minimizing the threat of medical crimes. Likewise, the bedded Clinical Decision Support (CDS) cautions ameliorate quality by egging providers to cleave to substantiation-grounded guidelines, icing harmonious stylish practices (Pawelek et al., 2022).

Slide 5

The strategic plan at St. Paul Regional Health Center emphasizes data-driven decision-making for enhanced case care. Epic Systems supports this by offering advanced analytics and reporting tools for nonstop monitoring and evaluation of clinical practices. These tools help healthcare providers identify trends, assess performance, and apply advancements grounded on real-time data and substantiation (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 alignment underscores the association’s commitment to patient care excellence and fosters better clinical results, safety, and overall sanitarium performance (Zhao et al., 2023).

Slide 6

Rationale for Workflow Changes for Stakeholders

The decision to apply Epic Systems was made after careful consideration of its impact on colorful stakeholders, including healthcare providers, executive staff, and cases. Each group’s specific requirements and guests were addressed to optimize the system’s success (Avdagovska et al., 2020).

Healthcare Providers For healthcare providers, the main thing is to ameliorate clinical decision-making and patient care norms. Grand Systems offers rapid-fire and accurate decision-making by integrating substantiation-grounded guidelines, clinical decision support tools, and real-time access to patient data. As a result, there’s a reduction in crimes, smaller spare tasks, and further time for direct case care. Also, automated order entries and standardized sets streamline workflows, ensuring adherence to stylish practices and eventually leading to more patient issues (Alexiuk 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

Cases 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).

Table: Summary of Key Workflow Changes by Stakeholder

Slides 8-11

These slides continue to detail Epic Systems’ benefits, effectiveness, earnings, and overall impact on the association.

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 exploration 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 methodical review of electronic medical record-driven quality dimensions 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 perpetration of an automated electronic health record-linked registry for exigency 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 exploration actors. 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). Case and healthcare provider perspectives on patient access to test results via web doors 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 the option grid case decision aids in the EPIC electronic health record 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, pitfalls, and strategies for success. NPJ Digital Medicine, 3(1), 1–10 https://doi.org/10.1038/s41746-020-0221-y

Upadhyay, S., & Hu, H. (2022). A qualitative analysis of the impact of electronic health records (EHR) on healthcare quality and safety Clinicians’ lived guests. Health Services perceptivity, 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). employing the power of clinical decision support systems Challenges and openings. Open Heart, 10(2), 1–11. https://doi.org/10.1136/openhrt-2023-002432