NURS FPX 8022 Assessment 1 Using Data to Make Evidence-Based Technology Recommendations
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Capella University
NURS-FPX8022 Nursing Technology and Advanced Healthcare Information Systems
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Using Data to Make Evidence-Based Technology Recommendations
Evidence-based technology recommendations are essential in healthcare, using data to make decisions that will help a healthcare institution know how to invest in technology that will directly result in patient outcomes and operational efficiency. The scientific and methodical examination of clinical outcomes, safety measurements, and workflow can help leaders select technologies that have demonstrated promising outcomes as opposed to relying on the assertions of the vendor. The evidence-based strategy minimizes the risk of implementation and maximizes the use of resources, and ensures that the new technologies are linked to the quality improvement targets within the organization. Informed decision-making eventually leads to the implementation of innovations showing improved care delivery and having a quantifiable value and payoff (Lyu 2025). The major area that will be evaluated in the assessment will be the application of technology in actual practice scenarios and the application of performance information in the development of evidence-based technology advice.
Evaluation of Technology in Use
Performance benchmarking by healthcare organizations should be a continuous process against national standards that optimize patient outcomes and detect key areas of improvement. Medical University of South Carolina University Medical Center (MUSC) is experiencing serious issues with performance lapses, whereby the number of patient falls per 1,000 patient days stands at 0.774 in comparison to 0.000 in the best performers, which is an indication that there is a serious patient safety issue (Leapfrog, n.d.). The communication score of the institution’s medication is 74, which is far below the 88 of the best-ranked hospitals, indicating that the institution has not succeeded in educating patients about the medication regimens and adverse effects (Leapfrog, n.d.).
Communication performance on discharge is 82, which is, on average, below national standards but better than other facilities with poor performance, 67, and standardization opportunities can be achieved (Leapfrog, n.d.). The combination of strategic technology incorporation and overall staff training programs is a vital step on the way to attaining perfection in patient safety and communication outcomes. The implementation of interactive patient education systems and automated medication dispensing systems can greatly increase communication of medications and discharge planning within a healthcare facility. The technological interventions can enable the medical professionals to offer standardised medication counseling and discharge training with the help of touchscreen displays using the visual learning resources (Mason et al., 2022).
The systems eliminate the discrepancies in communication strategies and determine the processes of systematic patient comprehension of medication adherence and the post-discharge procedures (Osei et al., 2025). Technology-enabled interventions that standardise the medication and discharge communication workflow will improve patient safety outcomes and reduce preventable adverse events. The barriers to the adoption of advanced communication technologies in healthcare institutions have been immense, as the organizations are struggling with competing institutional priorities, resource limitations, and human factors in the implementation process. The opposition of the staff towards interactive patient education platforms is often linked to the fear of the augmented workload requirements and lack of familiarity with digital interfaces (Provenzano et al., 2024).
The shortage of finance, especially by the smaller healthcare facilities, restricts the process of buying automated medication delivery systems and the investments needed to add or train personnel. The integration complexities that arise technologically when the new communication platforms are integrated with the existing electronic health records systems may interfere with the workflows and clinical functions of the existing system. Digital disparities in healthcare can increase because patients who are not technologically literate will have a challenge with effective navigation of the touchscreen-based systems of education (Bitomsky et al., 2025).
Planning of strategic implementation and long-term administrative support are two central factors defining the successful implementation of technology in different healthcare settings. The current medication communication and discharge procedures of the MUSC involve the input of the providers, who make medication orders in the patient records, and the nurses, who obtain medications based on the standard pharmacy delivery systems. Verbal medication education is delivered by nurses in standardized protocols, but the consistency of the delivery varies depending on the method of the individual providers and time constraints. Systems of healthcare delivery will be efficient if nurses deliver comprehensive patient education using technology (Altmiller & Pepe, 2022).
The best communication practices should include structured methodologies that would be supportive of the diverse patient learning needs and preferences (Hickey et al., 2023). The instructions of discharge are usually given to the patients in the form of written documents, whereby the schedules of use of drugs, adverse effects, and follow-up appointments are stated. Continuity of care is established through the documentation in the electronic health record system, which produces long-lasting records of patient education contacts and discharge planning tasks. Appendix A: Workflow design as it is now.
Patient Safety Areas Identified
There are 2 main assessment frameworks utilized by healthcare facilities, including the Leapfrog safety ratings and Medicare comparison tools, that are used for the performance evaluation of healthcare facilities. Leapfrog has letter grades (A-F) to indicate overall safety indicators, such as adherence to protocols, infection control, and clinical outcomes (Razick et al., 2024). Medicare Compare is more widespread in terms of aspects of healthcare delivery and patient satisfaction, which is the reason for studying to choose the provider (CMS, 2023). The evaluation systems have three different basic purposes, namely to foster operational transparency, to enhance quality improvement programs, and to provide consumers with evidence-based information to make informed healthcare choices. The standardized monitoring frameworks have similar evaluation criteria that combine to ensure the quality of healthcare through increased accountability and better consumer choice.
There are severe gaps in the patient safety and communication quality indicators in a variety of performance measures at the discussed healthcare facility. The MUSC has impressive and alarming results in terms of falls prevention performance with a rate of 0.774 falls per 1,000 patient days, which is significantly higher than the benchmark rate of 0.000 and the national average, which is 0.38 score (Leapfrog, n.d.). Although medication communication scores (74) and discharge communication scores (82) are satisfactory levels of performance, the scores are significantly lower than the performance of the leading facilities, where they are rated at 88 and 94, respectively (Leapfrog, n.d.). The discrepancies in performance provoke some basic questions about whether the medical center strives to develop a set of comprehensive standards of patient safety and provide evidence-based intervention in educating the patients.
Table 1
Medical University of South Carolina University Medical Center Score Comparison
Categories | Facility Score | Top Facility Score | Average Facility’s Score | Lowest Center’s Score |
Injuries due to Patient Falls | 0.774 | 0.000 | 0.338 | 1.748 |
Communication about Medicine | 74 | 88 | 74.64 | 59 |
Communication about Discharge | 82 | 94 | 85.48 | 67 |
Note. The information provides an example of Leapfrog safety grade ratings for the Medical University of South Carolina University Medical Center compared to agreed-upon industry-based standards. For the measures of patient falls, the lower the number, the better the patient falls, and the higher the number of a communication measure, the better the communication. Data was collected from the Leapfrog Hospital Safety Grade database (Leapfrog, n.d.). The MUSC Medical Center has variable performances across the following Medicare quality measures, which show both strengths and areas for improvement. The facility keeps a total of a 4-star rating with corresponding 3-star patient survey results (Medicare, n.d.). The medical center has outstanding results in colonoscopy follow-up care at 98% compared to the 92% National Average and stroke treatment at 88% compared to 70% nationally. Still, it has weaknesses in sepsis at 48% compared to 64% nationally and emergency department efficiency (Medicare, n.d.).
The institution has a strong influenza vaccination compliance rate of 81% compared to the national average of 78% and a stronger performance in several infection prevention measures, such as central line-associated bloodstream infections and catheter-associated urinary tract infections (Medicare, n.d.). Emergency department operations indicate worrisome wait times averaging 216 minutes as compared to 195 minutes at similar high-volume facilities nationally (Medicare, n.d.). The findings highlight important areas of need for emergency department workflow optimization and sepsis recognition protocols in the healthcare delivery system. Healthcare performance data shows tremendous operational variability across premier academic medical centers across a wide range of clinical domains. Cleveland Clinic is found to have communication deficiencies in medication at 57% in comparison with the improved 66% of Mayo Clinic, with both organizations showing sepsis management deficiencies below the 64% national standard at 51% and 65%, respectively (Medicare, 2025a; Medicare, 2025b).
Emergency room statistics show the Cleveland Clinic’s alarming 196-minute average wait times versus the Mayo Clinic’s drawn-out 203-minute times (Medicare, 2025a; Medicare, 2025b). Influenza vaccination compliance shows significant differences, with the example of the Cleveland Clinic, with 90%, and a poor result of the Mayo Clinic, with 50%, compared to the national benchmark of 78% (Medicare, 2025a; Medicare, 2025b). Territorial variations in fiscal stewardship represent 0.94 and 0.99, respectively, compared to the national average of 0.99 (Medicare, 2025a; Medicare, 2025b). Comprehensive quality improvement strategies are still imperative to the advancement of patient care excellence and operational effectiveness across major healthcare institutions.
Recommended Technology Implementation
In order to overcome the identified performance gaps, MUSC should make use of interactive patient education tablets with automated bedside medication dispensing systems. The available evidence reveals that healthcare facilities that used the integrated technologies have achieved an enormous improvement in medication errors and an increase in patient understanding (Pal et al., 2021). The personalized multimedia content, multilingual system, and the real-time documentation capabilities are to be included in order to accommodate the current score of the organization on medication communication of 74, the rate of falls is 0.774 per 1000 patient days, and the discharge communication score of 82 points (Leapfrog, n.d.). The automatic feedback gathering systems in the form of touchscreen interfaces could simplify the quality improvement procedures, which is likely to increase the overall patient satisfaction scores (Ong et al., 2020). The overall technology plan is fully compatible with the current infrastructure of electronic health records and covers the specific gaps in patient education and access and safety measures across the healthcare spectrum.
After the integration of technology, the medication management processes are changed to an interactive digital workflow, which enables the active involvement of the patients in the process of treatment encounter in place of the traditional verbal communication channels. Physicians place an order through integrated computerized systems, the orders are documented, and at the same time activate automated dispensing devices to fill drugs and provide individualized education information on the patient’s bedside (Jungreithmayr et al., 2021). The online platform offers customised video demonstrations, interactive simulations, and comprehension tests using the languages of choice of the patients (Medel et al., 2024). Clinical staff monitor patient engagement levels before medication administration, with notification in the system on educational module completion and results of knowledge assessment. The safety measures include a full education course and possible verification of knowledge about the methods of administration and possible side effects by the patient (Ricciardi and Cascini, 2020). The method eliminates variability within communication, standardizes the means of delivering patient education, and also sets measures of constant quality improvement monitoring. Streamlined workflow is shown in Appendix B.
Conclusion
Incorporation of evidence-based technology is one of the core strategies that healthcare organizations can use in an attempt to attain sustainability in clinical excellence and operational effectiveness. Continuous staff training and system evaluation are essential to ensure optimal utilization of these technologies. The evaluation reveals that automated systems of medication dispensing in conjunction with digital platforms of patient education play a significant role in increasing medication safety measures and communication procedures. With the help of systematic application of the full-scale quality measures of Leapfrog and Medicare comparison databases, the healthcare facilities will be able to systematically identify the gap in performance and apply the specific technological interventions accordingly. The method enables the medical centers to correct some weaknesses in the operations, but with quantifiable improvement in quality. Finally, the technology recommendations developed based on data result in sustainable changes for the quality of care provision and patient satisfaction rates.
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References for
NURS FPX 8022 Assessment 1
Altmiller, G., & Pepe, L. H. (2022). Influence of technology in supporting quality and safety in nursing education. Nursing Clinics of North America, 57(4), 551–562. https://doi.org/10.1016/j.cnur.2022.06.005
Bitomsky, L., Pfitzer, E., Nißen, M., & Kowatsch, T. (2025). Advancing health equity and the role of digital health technologies: A scoping review. BioMed Journal Open, 15(6), e099306. https://doi.org/10.1136/bmjopen-2025-099306
CMS. (6 September 2023). Hospital quality initiative public reporting | CMS. Cms.gov. https://www.cms.gov/medicare/quality/initiatives/hospital-quality-initiative/hospital-compare
Hickey, E., Man, B., Kaila, Lockhart, S., Duffecy, J., & Morris, M. A. (2023). Preferred communication strategies for people with communication disabilities in health care encounters: A qualitative study. Journal of General Internal Medicine, 39(5), 790–797. https://doi.org/10.1007/s11606-023-08526-4
Jungreithmayr, V., Meid, A. D., Bittmann, J., Fabian, M., Klein, U., Kugler, S., Löpprich, M., Reinhard, O., Scholz, L., Zeeh, B., Bitz, W., Bugaj, T., Kihm, L., Kopf, S., Liemann, A., Wagenlechner, P., Zemva, J., Benkert, C., Merle, C., & Roman, S. (2021). The impact of a computerized physician order entry system implementation on 20 different criteria of medication documentation—A before-and-after study. BioMed Central Medical Informatics and Decision Making, 21(1), 279. https://doi.org/10.1186/s12911-021-01607-6
Leapforg. (n.d.). Medical University of South Carolina University Medical Center – SC – Hospital Safety Grade. Hospitalsafetygrade.org. https://www.hospitalsafetygrade.org/h/medical-university-of-south-carolina-university-medical-center
Lyu, G. (2025). Data-driven decision making in patient management: A systematic review. BioMed Central Medical Informatics and Decision Making, 25(1), e239. https://doi.org/10.1186/s12911-025-03072-x
Mason, M., Cho, Y., Rayo, J., Gong, Y., Harris, M., & Jiang, Y. (2022). Technologies for medication adherence monitoring and technology assessment criteria: Narrative review. Journal of Medical Internet Research MHealth and UHealth, 10(3), e35157. https://doi.org/10.2196/35157
Medel, D., Bonet, A., Herrera, M. J., Sevilla, F., Vilaplana, J., Cemeli, T., & Roca, J. (2024). Interactive virtual simulation case: A learning environment for the development of decision-making in nursing students. Teaching and Learning in Nursing, 20(1), 60–68. https://doi.org/10.1016/j.teln.2024.08.002
NURS FPX 8022 Assessment 1 Using Data to Make Evidence-Based Technology Recommendations
Medicare. (2025a). Find healthcare providers: Compare care near you | Medicare. Medicare.gov. https://www.medicare.gov/care-compare/details/hospital/100151/view-all?city=Jacksonville&state=FL&zipcode=&measure=hospital-timely-and-effective-care
Medicare. (2025b). Find healthcare providers: Compare care near you | Medicare. Medicare.gov. 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.). Find healthcare providers: Compare care near you | Medicare. Medicare.gov. https://www.medicare.gov/care-compare/details/hospital/420004/view-all?city=Charleston&state=SC&zipcode=29425
Ong, B. N., Hodgson, D., Small, N., Nahar, P., & Sanders, C. (2020). Implementing a digital patient feedback system: An analysis using normalisation process theory. BioMed Central Health Services Research, 20(1), 387. https://doi.org/10.1186/s12913-020-05234-1
Osei, E., Asante, L. S., Wireko, S. A., & Abdulai, P. M. (2025). Digital health interventions for managing medication and healthcare service delivery by health professionals in Sub-Saharan Africa: A scoping review protocol. Digital Health, 11. https://doi.org/10.1177/20552076251379770
Pal, P., Sambhakar, S., Dave, V., Paliwal, S. K., Paliwal, S., Sharma, M., Kumar, A., & Dhama, N. (2021). A review on emerging smart technological innovations in healthcare sector for increasing patient’s medication adherence. Global Health Journal, 5(4), 183–189. https://doi.org/10.1016/j.glohj.2021.11.006
Provenzano, M., Cillara, N., Curcio, F., Pisu, M. O., Iván, C., & Herrera, M. F. J. (2024). Electronic health record adoption and its effects on healthcare staff: A qualitative study of well-being and workplace stress. International Journal of Environmental Research and Public Health, 21(11), e1430. https://doi.org/10.3390/ijerph21111430
Razick, D., Amani, N., Ali, L., Bachir, M., Salem, A., & Khatri, V. (2024). Leapfrog safety grades in California Hospitals: A data analysis. American Journal of Medical Quality, 39(5), 251–255. https://doi.org/10.1097/jmq.0000000000000200
Ricciardi, W., & Cascini, F. (2020). Guidelines and safety practices for improving patient safety. PubMed. Springer. https://www.ncbi.nlm.nih.gov/books/NBK585634/
The Leapfrog Group. (2023, November 3). New hospital safety grades from The Leapfrog Group find improved infection rates following a major spike during the COVID-19 pandemic. Leapfrog.org. https://www.leapfroggroup.org/news-events/new-hospital-safety-grades-leapfrog-group-find-improved-infection-rates-following-major
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