NURS FPX 6016 Assessment 2 Quality Improvement Initiative
NURS FPX 6016 Assessment 2 Quality Improvement Initiative Evaluation
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- Capella University
- NURS FPX 6016 Assessment 2
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Quality Improvement Initiative Evaluation
A quality improvement (QI) initiative evaluation is an evaluation process that analyzes the effectiveness of a particular program or strategy that will help to enhance one or several areas of healthcare delivery, including patient safety, treatment outcomes, or operational efficiency. Healthcare is constantly seeking to enhance patient safety and quality of care by means of different QI initiatives.
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Medication, in particular dosage administration, is one such aspect where any mistake can be very costly to the health of the patient. The QI initiative in Villa Healthcare was adopted to overcome medication errors with specific references to the better medication reconciliation process and healthcare professionals’ communication enhancement.
Analysis of Current Quality Improvement Initiative
An interplay of medication errors, especially in terms of improper medication reconciliation that incited the occurrence of the wrong dosage, triggered the QI project at Villa healthcare, which caused near-miss incidents, such as with NURS FPX 6016 Assessment 2 nurse Olivia and a 55-year-old patient with severe hypertension. One of the aspects that spurred the QI initiative was the understanding that there was a risk of incomplete medication history, and there was insufficient communication between healthcare workers, including nurses and pharmacists (Ahmed et al., 2025).
The objective of the effort was to enhance medication safety by means of increased cooperation, comprehensive medication reconciliation, and the implementation of such technological resources as electronic health record (EHR) systems, clinical decision support system (CDSS).
A number of challenges were experienced during the implementation of the initiative. First, the change failed because of the unwillingness of healthcare employees to embrace the new EHR system, as it resulted in unequal use of the new resources.
Research has revealed that failure to achieve full integration and training despite the use of technology may continue to poor performance of such systems (Khan et al., 2025). Also, although multidisciplinary rounds to discuss medication regimens in patients were implemented, not all teams adopted it and, as a result, some gaps in communication appeared during the shift changes.
Knowledge Gaps and Areas of Uncertainty
There are still a number of knowledge gaps that can help in enhancing the analysis of the QI initiative. First, they do not have comprehensive data on the level of medication errors before the implementation of the QI initiative, and it is hard to determine the difference in the change accurately. Although it is difficult to gauge the actual efficacy of QI interventions in the absence of base data. Uncertainty exists about the sustainability of the QI efforts in the long term, including the implementation of EHR systems.
Although such systems are meant to minimize errors, they require the involvement of a user and training. According to a study by Rasool et al. (2022), despite the high-technology, it is possible to have system overload, user fatigue, and restrict its applicability.
Evaluation of the Success of a Current Quality Improvement Initiative
Villa Healthcare QI program was aimed to increase medication safety by enhancing the quality of interprofessional collaboration, medication reconciliation, and use of technological nursing tools, such as EHR and CDSS. The successful management of hypertension, which is one of the issues examined in the initiative, can also be assessed using core performance measures as medication adherence, appropriate dose adjustment, drug-drug interactions prevention, and patient safety outcomes through incidences of near-miss (Zhou et al., 2024).
Moreover, the technological integration and decision support can be measured through the utilization of EHR systems that have an inbuilt alert regarding drug interactions.
The analysis of the effects of all these quality indicators demonstrates that there are positive results with the reduction of medication errors. In national guidelines, including the Institute of healthcare improvement and the Joint Commission, the topic of medication safety and communication is mentioned as one of the indicators of the healthcare quality (Barnsteiner, 2020).
Overall, multidisciplinary rounds coupled with EHR systems used in Villa Healthcare helped to have more accurate medication reconciliation and decrease the chances of harmful drug interactions and increase patient safety. Nevertheless, there are still some issues on full implementation of these systems in all teams that has slowed down the full potential of the initiative.
Assumptions on Which the Analysis is Based
Numerous major assumptions are present in the analysis. Originally, it presupposes that the information gathered on medication errors and near-miss incidents is the accurate measure of the actual scope of the issue before the implementation of QI initiative. The baseline data is very important in gauging the effectiveness of the QI interventions (Zhou et al., 2024).
The other assumption is that the successful adoption of EHR systems and the multidisciplinary rounds will still be able to decrease the number of mistakes and enhance collaboration. It is assumed that the continuous staff training, and enhancement of the systems will be maintained due to the fact that the consistent interaction with new technologies and processes are the key to obtaining long-term success.
Incorporating Interprofessional Perspectives and Actions
The collaboration between the NURS FPX 6016 Assessment 2 nurses, pharmacists, physicians, and IT experts is critical to the success of QI initiative at Villa healthcare because this team focuses on medication safety improvements. Interprofessional attitudes are critical in solving the multifaceted drug management problem. Grimes & Guinan. (2022) stated that better patient safety and the identification of possible medication mistakes is the result of the successful interprofessional collaboration.
Nurses because of their direct client contact are tasked with the role of administering medications accurately and liaising with other health care professionals regarding the state of the patient. Pharmacists are essential in knowledge of the medication history of the patient and detecting possible drug interactions and making their recommendations on safe prescribing behavior.
Moreover, the doctors should be engaged when changing the treatment regimen and maintain medication regimen in respect to the current health status of the patient. The implementation of EHR systems, supports interprofessional communication because an informed decision-making process can be facilitated due to the possibility of accessing patient information and medication records in real-time and make informed decisions in the entire team (Rasool et al., 2022).
Though, the effectiveness of the initiative will be determined by the active and regular participation of all members of the team in the process of medication reconciliation. The possibility of making mistakes becomes minimal, as all the stakeholders are on the same page when it comes to discussing the treatment plan, which is ensured by the repeated application of multidisciplinary rounds.
Identifying Areas of Uncertainty and Knowledge Gaps
Regardless of the advancements achieved in the area of QI initiative, many areas of uncertainty and knowledge gaps remain to be filled. The absence of both long-term data on the efficiency of the EHR system and its incorporation into clinical working processes is one of the biggest gaps. According to the research conducted by (Carayon et al., 2025), EHR systems also have the potential to decrease the number of medication errors, but improper training and inadequate user engagement are the factors that undercut the effectiveness of EHR systems.
Another area of doubt is affixing whether the initiative has resulted in sustainable modifications in personnel conduct especially regarding medication reconciliation and collaborative actions among professionals. Whether continuous training of the staff results in the long-term outcome should be investigated further. Also, it is necessary to examine the question of whether the medication safety improvements can convert into lower hospital readmission rates or improved patient health outcomes. These data will give a more detailed insight into the success of the initiative.
Recommendations for Additional Indicators and Protocols
A patient satisfaction and engagement survey would also help to enhance the results of the QI initiative at Villa healthcare. Patient satisfaction is strongly connected with healthcare quality improvement as patients become informed and involved in their care (Khan et al., 2025). Patient feedback related to their comprehension of medications and possible medication interactions might highlight areas in which they believed there to be a need to clean up communication and safety.
Medication errors can be avoided through the introduction of real-time medication monitoring technologies, including the bar-coded medication administration (BCMA) Systems, that will assist in the correct prescription of medications. BCMA systems decreases administration errors and contributes to patient safety (Mulac et al., 2021). BCMA can also be used to send an alarm to the personnel in time, when implemented with EHR and clinical decision support systems (CDSS), which would further minimize errors.
Lastly, it would be important to have the protocols established to undertake routine audits and periodic evaluation of the interprofessional collaboration to ensure unending improvement. These audits would measure the compliance with the best practices in managing medication and monitor the success of the QI initiative.
Pros and Cons of These Recommendations
The integration of patient satisfaction surveys would offer great feedback regarding the experience of the patient, to understand whether the QI initiative was effective or not. Nonetheless, the patient comments do not represent the clinical processes possibly to their fullest extent, because the other factors may affect its expression. Medication errors can be significantly minimized with the help of BCMA systems, as the automation of the administration procedure can enhance patient safety (Mulac et al., 2021).
There is however a need to invest a lot in technology and training to introduce BCMA, which might be an impediment. Furthermore, excessive dependence on technology can also result in complacency and healthcare providers can fail to perform manual examinations. Regular audits and examination promote constant enhancement and follow through on procedures. Nonetheless, audits would put a strain on the administration and staff resistance in case it is perceived as too consuming of time or unnecessary.
Conclusion
Quality Improvement initiative implemented at Villa Healthcare has already achieved a considerable progress in terms of medication safety improvement by means of improved communication and medication reconciliation, as well as integration of technological tools such as EHR and CDSS. Though the initiative has shown some improvements in patient safety, there are still some challenges in terms of complete implementation of such systems in all teams and staff involvement.
Such gaps, as well as the inclusion of other indicators, such as patient satisfaction and real-time patient medication management will contribute more to the strength of the initiative. Finally, the culture of cooperation and continuous assessment will also play an important role in maintaining and increasing the favorable results of the QI project.
References
Barnsteiner, J. H. (2020). https://www.ncbi.nlm.nih.gov/books/NBK2648/
Carayon, P., Wetterneck, T. B., Cartmill, R., Blosky, M. A., Brown, R., Hoonakker, P., Kim, R., Kukreja, S., Johnson, M., Paris, B. L., Wood, K. E., & Walker, J. M. (2025). https://doi.org/10.1097/PTS.0000000000000358
Grimes, T., & Guinan, E. (2022). https://doi.org/10.1080/13561820.2021.2015301
Khan, R., Khan, S., Almohaimeed, H. M., Almars, A. I., & Pari, B. (2025). https://doi.org/10.1016/j.ijmedinf.2025.105833
Mulac, A., Mathiesen, L., Taxis, K., & Granås, A. G. (2021). https://doi.org/10.1136/bmjqs-2021-013223
Rasool, T., Warraich, N. F., & Sajid, M. (2022). https://doi.org/10.1177/21582440221114320
Ahmed, A, S., Aziz, A., & Sethi, S. M. (2025). https://doi.org/10.1136/bmjoq-2025-003487
Zhou, X., Zhang, X., Gu, N., Cai, W., & Feng, J. (2024). https://doi.org/10.1177/23743735241241176