NURS FPX 8012 Assessment 2 Using Data to Make Evidence-Based Technology

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Using Data to Make Evidence-Based Technology Recommendations

Hi, I am XYZ. Today, I am here to talk to you about the importance of NURS FPX 8012 Assessment 2 informatics/technology implementation in healthcare, specifically at community hospitals. Healthcare providers are now involved with implementing informatics, and technology is considered one of the top priorities because of its value to patients and organizations (Agha-Mir-Salim & Sarmiento, 2020).

This presentation shows that evidenced-based technology application is imperative in healthcare, focusing on Leapfrog and MediCare Compare success levels. We intend to identify a community hospital as our case study and establish how informatics improves the delivery of patient services and quality of care by analyzing the factors involved and presenting proof-based recommendations.

Leapfrog Grade and Medicare Compare Score

We select a neighborhood clinic and investigate its caring viewpoints. As divulged by Hop Crisis clinic Security Grade of the neighborhood clinic, it has gotten a general grade of ‘B’, which mirrors its responsibility towards implementing security practices in all divisions, starting from infection control to solution management as well as cautious consideration (Braun et al., 2020). The grade given from the Leap shows that different well-being measures have been embraced by the Crisis clinic and done really, but should be given in two or three other districts.

Regarding infection contravention, the local Crisis clinic has dealt with its business incredibly well. It had the choice to keep the speed of clinical consideration-related infection (HAI) to a minimum, including central line-related circulatory framework infections (CLABSIs) and cautious site infections (SSIs) (Haddadin and Regunath, 2022). The administration has further developed disinfection and cleaning strategies to safeguard the patients and clinical staff from the possible spread of infectious animals.

The social class crisis clinic has involved cross-cutting philosophies for solution security to minimize drug botches and prevent negative effects (Tariq and Scherbak, 2023). Those approaches include a patient medicine compromise process in the wake of admitting and discharging, drug expert-driven drug reviews, and modernized provider demand entry (CPOE) systems used for electronic cure and solution administration.

Regarding cautious issues, the neighborhood clinic has capably conveyed its reliable standards of significant worth and security. Cautious gatherings continually follow proof-based methods, including preoperative plans, breaks, and postoperative monitoring plans, to achieve the best outcomes for their patients with minimal potential outcomes of the cautious intricacies (Javed et al., 2023).

Utilitarian differences could arise for any circumstance; viable differentiations could arise in the introduction of the neighborhood differentiated and two other providers, including academic clinical concentrations and minimal clinical clinics. Academic clinical concentrates regularly have more materials and profiles, which brings about circumstances where the score is high in certain domains, like patient outcomes and innovation use (Hod et al., 2019). Crisis clinic staff in the field can experience tantamount issues due to offices needing more resources and a lack of workforce that hinders their consistency with infection countering and patient satisfaction.

NURS FPX 8012 Assessment 2 Using Data to Make Evidence-Based Technology

For the hospital to ensure the LF and Medicare compare scores are improved, there is a need to use evidence-based informatics tools with quality metrics targeted at medication safety. A computerized provider order entry (CPOE) system should be deployed that combines the features of the clinical decision support functionalities (Connelly & Korvek, 2022).

One way would be using the CPOE system to integrate the CDS functionalities. Studies have shown that cases involving Computerized Provider Order Entry systems with Clinical Decision Support Tools (CDS) significantly reduce medication mistakes and improve safety outcomes (Kaushal et al., 2023).

Through this technology, the Hospital will introduce a new relationship between physicians and patients, help reduce adverse drug events, and be better evaluated by both Leapfrog and Medicare Compare systems.

A study published in 2024 by Bates et al. noted a 55% reduction in the number of mistakes during medication administration among hospitals that used CPOE with knowledge-based CDS features versus those that used traditional handwritten prescription orders.

Enhancing Patient Safety Through CPOE and Clinical Decision Support Systems

This finding concerns Leapfrog and this Hospital the most among all other things measured with Leapfrog and Medicare Compare. When using CPOE (computerized physician order entry), the system with CDS (clinical decision support) alerts for drug interactions, dosing errors, and allergies, which may help the healthcare provider improve medication safety and minimize potential harm to patients (Sutton & Pincock, 2020).

Besides Roshanov et al. (2023), researchers found that medical errors and medication issues were reduced in most hospitals with CPOE systems. This was a clear sign of better medicine administration and reconciliation. The evidence of such studies clearly envisions the future where informatics can facilitate standardizing medication-related work and thus ensure efficient patient safety (Cortes et al., 2019).

Implementation of an in-house CPOE solution that addresses the needs of a local community hospital allows doctors and caregivers to improve medication safety and decision-making. Because of this, providers are more likely to receive better scores on Leapfrog and Medicare Compare surveys.

The Hospital can adopt evidence-based informatics practices and technology-driven systems such as CPOE(Computerized provider order entry) with CDS(Clinical decision support) functions to refine medication safety practices and reduce adverse event incidents, which ultimately improve Leapfrog and Medicare compare scores (Connelly & Korvek, 2022). This suggestion corresponds to the department’s objectives of providing high-quality, safe healthcare. It signifies the institution’s ambition to use technologies to optimize healthcare service delivery through constant improvement.

Rationale for Audiences

Boss-level groups are involved and need extra time. Thus, introductions for this group should be immediate and succinct. The development of the show is even. Considering that the central level group contains individuals from the affiliation, the real show passes on the message that information-driven independent heading and proof-based practices should be used to increase the clinical consideration industry’s display (Cakir and Adiguzel, 2020). The arrangement turns around brief, careful, and to-the-point transport, with main figures and proof-maintained direction that reflects the Board’s key factors.

The role of the administration gives an entrance to individuals with pioneer appeal to in like manner interact with general society and advance their contemplations or plans. For the Boss and other pioneers, this show gives, notwithstanding other things, conventional cases and proof showing the pertinence, in a way, to their points of view (Dwivedi, 2022).

The show tended to as a storyline with the RCOE suggestion presents coherent examination supporting CPOE systems with Circles functionalities in preventing solution botches and enhancing patient well-being results (Henna Ruutiainen et al., 2024). The show will give clear factual pieces of information on the likely damages to a patient’s administration help and treatment quality. Therefore, this information will get the affiliation’s bosses’ thoughts and help them understand the meaning of investing in mechanical game plans.

NURS FPX 8012 Assessment 2 Using Data to Make Evidence-Based Technology

These ethics are done to better educate the audience about the health issues of popular fast foods. The examples from the presentation are carefully tailored to touch on what is important to the organization’s executive leaders, who are executives throughout the business who could sign off on this project.

This presentation will engender trust in the suggested improvements and the following solutions by analyzing the evidence-based ideas on enhancing the Leapfrog scores and the Medicare Compare ratings provided (Smith et al., 2023).

It is intended to help executives arrive at conclusions that involve measurable information and recommendations aligned with the organization’s aims and goals. The presentation seeks to foster the C-suite’s support for informatics and technology solutions that will develop and improve healthcare care delivery and lead to improved patient outcomes.

Conclusion

In NURS FPX 8012 Assessment 2, The objective is to emphasize the possibilities and necessity of using evidence-based informatics technology solutions like Computerized Provider Order Entry (CPOE) with Clinical Decision Support (CDS) capabilities to improve medical safety and results.

Solutions can push both statistics up through consistent alignment with the organizational aims and the importance of the two scorecards. The two scorecards also measure up well for the provision of high-quality healthcare. With cooperation and the application of tech, healthcare entities can make positive changes over time and then boost patient experience.

Read more about NURS FPX 8012 Assessment 1 Technology Informatics Use in Your Practice Setting for complete information about this class.

References

Agha-Mir-Salim, L., & Sarmiento, R. F. (2020). Health information technology as premise for data science in global health: A discussion of opportunities and challenges. Leveraging Data Science for Global Health6(9), 3–15.

https://doi.org/10.1007/978-3-030-47994-7_1

Braun, B. I., Chitavi, S. O., Suzuki, H., Soyemi, C. A., & Puig-Asensio, M. (2020). Culture of safety: Impact on improvement in infection prevention process and outcomes. Current Infectious Disease Reports22(12).

https://doi.org/10.1007/s11908-020-00741-y

Cakir, F. S., & Adiguzel, Z. (2020). Analysis of leader effectiveness in organization and knowledge sharing behavior on employees and organization. SAGE Open9(4), 1–14. Sagepub.

https://doi.org/10.1177/2158244020914634

Connelly, T. P., & Korvek, S. J. (2022). Computer provider order entry (CPOE). Nih.gov; StatPearls Publishing.

https://www.ncbi.nlm.nih.gov/books/NBK470273

Cortes, D., Leung, J., Ryl, A., & Lieu, J. (2019). Pharmacy informatics: Where medication use and technology meet. The Canadian Journal of Hospital Pharmacy72(4), 320–326.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6699873

Dwivedi, Y. K. (2022). Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice, and policy. International Journal of Information Management66(66), 102542. ScienceDirect.

https://doi.org/10.1016/j.ijinfomgt.2022.102542

Haddadin, Y., & Regunath, H. (2022, November 26). Central line-associated bloodstream infections (CLABSI). Nih.gov; StatPearls Publishing.

https://www.ncbi.nlm.nih.gov/books/NBK430891

Henna Ruutiainen, Anna-Riia Holmström, Kunnola, E., & Sini Kuitunen. (2024). Use of computerized physician order entry with clinical decision support to prevent dose errors in pediatric medication orders: A systematic review. Pediatric Drugs9(5).

https://doi.org/10.1007/s40272-023-00614-6

Hod, R., Maimon, O., & Zimlichman, E. (2019). Measuring the academic value of academic medical centers: Describing a methodology for developing an evaluation model at one academic medical center. Israel Journal of Health Policy Research8(1).

https://doi.org/10.1186/s13584-019-0334-4

Javed, H., Olanrewaju, O. A., Frank Ansah Owusu, Saleem, A., Peddi Pavani, Tariq, H., Soledad, B., Ram, R., & Giustino Varrassi. (2023). Challenges and solutions in postoperative complications: A narrative review in general surgery. Cureus4(8).

https://doi.org/10.7759/cureus.50942

Smith, S. N., Reichert, H. A., Ameling, J. M., & Meddings, J. (2023). Dissecting Leapfrog. Medical Care55(6), 606–614.

https://doi.org/10.1097/mlr.0000000000000716

Sutton, R., & Pincock, D. (2020). An overview of clinical decision support systems: Benefits, risks, and strategies for success. NPJ Digital Medicine3(1), 1–10.

https://doi.org/10.1038/s41746-020-0221-y

Tariq, R. A., & Scherbak, Y. (2023, May 2). Medication dispensing errors and prevention. National Library of Medicine; StatPearls Publishing.

https://www.ncbi.nlm.nih.gov/books/NBK519065

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