NURS FPX 8022 Assessment 1 Using Data to Make Evidence-Based Recommendations

NURS FPX 8022 Assessment 1 Using Data to Make Evidence-Based Recommendations

NURS FPX 8022 Assessment 1 Using Data to Make Evidence-Based Recommendations

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  • Capella University
  • NURS FPX 8022 Assessment 1
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Using Data to Make Evidence-Based Technology Recommendations

Evidence-based technology recommendations in healthcare settings constitute critical platforms on which the standard of patient care and organizational achievement can be improved. Through a literature review, patient data, and operational statistics, healthcare organizations are able to use technologies that actually enhance the service provision process.

The systematic process minimizes the risk of deployments and ensures that the innovative technologies are deployed by confirming that the introduced technologies are responding to actual clinical demands and not technological fads (Alsabah et al., 2025). Informed suggestions result in long-term healthcare innovations that show quantifiable outcomes of patient care and staff operations. The assessment will focus on the use of technology in real practice settings and use performance information in coming up with evidence-based technology recommendations.

Evaluation of Technology in Use

Healthcare organizations should be able to continuously assess the results compared to the national standards to achieve the best patient outcomes. The use of technology and the extensive staff training program is necessary to attain excellence in patient safety and communication performance.

Implementation of interactive patient education platforms, as well as automated medication dispensing systems, has a significant positive influence on medication communication and discharge planning effectiveness at the MUSC. The technologies can also facilitate the provision of consistent medication counseling and discharge education by healthcare professionals using touchscreen interfaces with the help of visual aids to guarantee a complete understanding of the patient (Schooley et al., 2020).

The systems exclude unequal communication strategies and allow systematic records of patient knowledge concerning medication adherence and discharge policies (Tahsin et al., 2022). Standard medication and discharge communication procedures that involve better adherence will contribute to patient safety.

In healthcare organizations, institutional priorities and human factors are complex, and advanced means of communication technology present a challenge in terms of deployment. One of the primary reasons why staff are reluctant to use interactive patient education platforms is the increase in workload and the lack of control over the ability to master digital interfaces (Nascimento et al., 2023). Acquisition of automated medication delivery systems and personnel to manage the equipment is quite limited by financial means, particularly for smaller-scale health care institutions.

The issue of technical integration arises as new communication platforms are connected to the existing electronic health record systems, which create workflow disruptions. The health disparities might increase because patients who lack substantial experience with digital devices might struggle to use touchscreen education systems successfully (Saeed and Masters, 2021). Implementation strategies and administrative support are still playing critical roles in technology adoption in different healthcare settings.

The existing system of medication communication and discharge at MUSC is initiated as providers input the medication orders in patient records, and the NURS FPX 8022 Assessment 1 nurses get medications by using standard pharmacy distribution channels. Patients receive discharge information mostly in written books that detail the drug schedule, drug side effects, and visit schedules. The documentation occurs in the electronic health record system, which creates a continuity of care as a permanent record of the patient education and discharge planning activities. The current structure is shown in Appendix A.

Patient Safety Areas Identified

Two primary evaluation systems are offered to healthcare facilities, i.e., Leapfrog safety ratings and Medicare comparison tools. Leapfrog is known to give letter grades (A-F) based on safety indicators, including protocol adherence, infection rates, and patient outcomes. Medicare Compare considers a broad range of healthcare delivery and patient satisfaction factors, allowing people to make comparative evaluations in the process of selecting healthcare providers (CMS, 2023).

The evaluation systems achieve three essential purposes, which are fostering transparency, enhancing quality improvement, and providing consumers with evidence-based information to make informed healthcare facility decisions (The Leapfrog Group, 2023). The monitoring mechanisms follow the same evaluation standards, which contribute to the overall improvement of healthcare quality by enabling informed decisions.

There are serious gaps in the patient safety and quality of communication indicators measured in various performance indicators in the healthcare facility. The MUSC especially has a problem of falling prevention with the rate of 0.774, which is significantly larger than the benchmark fall rate of 0.000, but also larger than the average rate of 0.38 points (Leapfrog, n.d.).

Although medication communication (74) and discharge communication (82) represent only a sufficient level of performance, the results are still significantly lower than the scores of top facilities, 88 and 94, respectively (Leapfrog, n.d.). 

Table 

Medical University of South Carolina University Medical Center Score Comparison

Categories

Facility Score

Top Facility Score

Average Facility’s Score

Lowest Center’s Score

Patient Falls and Injuries

0.774

0.000

0.338

1.748

Medication Communication

74

88

74.64

59

Discharge Communication

82

94

85.48

67

Note. Data presents Leapfrog safety grade ratings for the Medical University of South Carolina University Medical Center compared to industry standard benchmarks. Lower scores indicate better performance regarding patient falls measurements, whereas higher scores demonstrate superior performance in communication measurements. Information was retrieved from the Leapfrog Hospital Safety Grade database (Leapfrog, n.d.).

Recommended Technology Implementation

To improve the gaps in performance, MUSC should implement patient education tablets that are interactive and operated by automated medication dispensing machines at the bedside. Research has shown that medical sites implementing the integrated technologies recorded significant reductions in the number of medication errors and an increase in patient comprehension indicators at the stages of implementation (Chance et al., 2024).

The system should have customized multimedia tools, language choice, and real-time documentation features to ensure that the medication communication rating of the organization is 74, the patient fall rate is 0.774, and the discharge communication rating is 82 points (Leapfrog, n.d.). Also, using an automated mechanism of collecting feedback via touchscreen might facilitate the processes of quality evaluation, which may increase the general score of patient satisfaction (Ong et al., 2020).

The overall technological plan uses the existing electronic health record systems, with the correction of specific areas of weakness in patient education systems and safety care within the spectrum of healthcare provision.

After the integration of technology, the process of medication management changes into an interactive digital workflow that engages patients during the treatment episodes and replaces the traditional verbal channels. The orders of physicians that are filled using integrated computerized systems are logged, and simultaneously, automated dispensing systems fill medications and activate custom educational information on patient bedside interfaces (Shermock et al., 2023).

The online platform provides custom video instructions, simulation games, and understanding tests in the language of choice that the patient understands best. Before medication administration instructions, clinical personnel track the patient’s progress by receiving notifications about educational module completion and knowledge tests (Wilesmith et al., 2025).

The safety measures involve the full education program and the confirmation of the patients that they have mastered the methods of administration and possible side effects. The strategy removes informational wastes, standardizes the process of delivering patient education, and creates measures of ongoing quality improvement. The enhanced workflow is shown in Appendix B.

Conclusion

The adoption of evidence-based technology is a core approach for healthcare organizations that implement sustainable clinical outcomes and operational performance. The discussion shows that automated medication dispensing systems combined with computerized patient education platforms significantly complement medication safety measures and communication procedures.

By using the help of detailed quality measures of Leapfrog and Medicare comparison databases, healthcare facilities are able to understand the inadequacies in the facilities in a systematic manner and, subsequently, apply the specific technological changes. The strategy helps the medical centers to cater to specific areas of weakness and realize the improvements in quality that can be measured.

Finally, technology suggestions that are informed by data have long-term effects on the improvement in the standards of care delivery and patient satisfaction rates.

References

Alsabah, M., Naser, M. A., Albahri, A. S., Albahri, O. S. https://doi.org/10.1007/s10462-025-11342-3

Chance, E. A., Florence, D., & Abdoul, I. S. (2024). https://doi.org/10.1016/j.ijnss.2024.06.003

CMS. (2023, September 6). https://www.cms.gov/medicare/quality/initiatives/hospital-quality-initiative/hospital-compare

Kwame, A., & Petrucka, P. (2021). https://doi.org/10.1186/s12912-021-00684-2

Leapforg. (n.d.). https://www.hospitalsafetygrade.org/h/medical-university-of-south-carolina-university-medical-center

Medicare. (2025a). https://www.medicare.gov/care-compare/details/hospital/100151/view-all?city=Jacksonville&state=FL&zipcode=&measure=hospital-timely-and-effective-care

Medicare. (2025b). https://www.medicare.gov/care-compare/details/hospital/360180/view-all?city=Cleveland&state=OH&zipcode=&measure=hospital-timely-and-effective-care

Medicare. (n.d.). https://www.medicare.gov/care-compare/details/hospital/420004/view-all?city=Charleston&state=SC&zipcode=29425

Mistri, I. U., Badge, A., & Shahu, S. (2023). https://doi.org/10.7759/cureus.51159

Nascimento, I. J. B. do , Abdulazeem, H. https://doi.org/10.1038/s41746-023-00899-4

Ong, B. N., Hodgson, D. https://doi.org/10.1186/s12913-020-05234-1

Saeed, S. A., & Masters, R. M. (2021). https://doi.org/10.1007/s11920-021-01274-4

Schooley, B., Singh, A., Hikmet, N. https://doi.org/10.2196/22947

Shermock, S. B., Shermock, K. M., & Schepel, L. L. (2023). https://doi.org/10.3390/ijerph20176680

Tahsin, F., Armas, A., Kirakalaprathapan, https://doi.org/10.2196/44035

The Leapfrog Group. (2023, November 3). https://www.leapfroggroup.org/news-events/new-hospital-safety-grades-leapfrog-group-find-improved-infection-rates-following-major

Wilesmith, S., Mandrusiak, A., Lang, R., Martin, R., Lu https://doi.org/10.1111/tct.70157

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