NURS FPX 8022 Assessment 3
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Risk Mitigation Plan
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NURS-FPX8022
Capella University
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The use of data-based approaches to the enhancement of patient safety and quality of care is becoming a common practice in healthcare organizations. There is some evidence that the utilization of performance data and health information technology enhances patient outcomes and facilitates the safe decision-making process (Alwadei, 2024). The goals of the assessment are to identify the potential of using the performance data in the utilization of the evidence-based technologies to enhance patient safety and quality of care.
It will be evaluated based on the risks associated with the integration of barcode medication administration (BCMA) and clinical decision support (CDS) systems in the electronic health record (EHR) as a means of bridging the medication safety and workflow efficiency gaps. The evaluation will also create a risk mitigation plan to offer specific solutions to improve.
Narrative of the Risk Mitigation Plan Table
Introduction of BCMA and CDS in the EHR risk management plan revealed numerous areas of high vulnerability, with their mitigation measures to improve patient safety. One of the main weaknesses concerns the alignment of workflow, the typical one being the pre-scanning of drugs, eliminating safety checks, and leaving an opportunity to cause a medication error afterward, and to expose a patient to harm. The data also suggests a high correlation between compliance with BCMA and workflow problems, and equipment problems that result in workaround (Williams et al., 2025). This risk can also be mitigated using risk mitigation strategies to minimize the likelihood and effects.
Another risk factor is the hardware and infrastructure limitations. A number of studies have demonstrated negative impacts that arise with barcodes that cannot be read and the unavailability of scanners on medication verification (Williams et al., 2025). Such problems can be addressed by solutions such as the provision of reliable hardware and infrastructure, and also a standardized barcode system. Likewise, staffing skill and level of assistance will be variable, thus influencing uniformity in the use of BCMA/ CDS systems.
These risks will be solved through staff training and supporting systems. Another major threat of using the CDS systems is fatigue related to alerts. Although CDS systems have proven to be effective in lowering medication errors and adverse drug events (ADE), alert fatigue declines the effectiveness (Syrowatka et al., 2024). The issue is dealt with by optimized alert systems. On the whole, the mitigation plans decrease the probability of risk to a large extent. The strategies also decrease the level of risk seriousness, making the medication administration a well-trusted and data-based system.
Ethical or Legal Issues
Those organizations that are not able to mitigate risks in the implementation of BCMA and CDS will suffer adverse ethical and legal impacts. The morality of workarounds or altering alerts may lead to medication mistakes, causing adverse effects to patients. Thus, failure to use either of the BCMA or CDS to meet the purpose will contravene the principle of nonmaleficence to the patient.
Criminologically, institutions like the Cleveland Clinic will bear liability damages in case of causing harm to a patient as a result of incompetent practice or the inability to comply with the current standards of care in relation to BCMA and/or CDS (Vivian, 2024). Finally, the consequences of the issues may be reflected on the patient in terms of adverse clinical outcomes, on the practitioner in terms of increased workload, and on the health care organization in terms of legal liability.
The suggested technologies in the line of the BCMA and the CDS technologies are also aimed at complying with the Health Insurance Portability and Accountability Act (HIPAA) of 1996 by making certain that the covered health information (PHI) is safely handled. The systems integration into a secure EHR, like Epic, will also guarantee role-based access control, audit trail, and transmission of data across a secure channel, which is crucial in HIPAA compliance (Alder, 2025). The other cybersecurity measures are multiple-factor authentication to access the systems, the staff auditing the systems regularly, staff training in data handling and its privacy, and backup and downtime of the systems (Chakravarthy et al., 2025). Ethical considerations should collectively contribute to the success of the implementation of the chosen technology.
Literature Justifications
Current evidence extensively endorses the proposed measures in response to the risks associated with the implementation of BCMA and CDS and deems them crucial in enhancing patient safety and system efficacy. This workflow redesign and removal of workarounds, such as pre-scanning of medications, may be explained by the existing evidence that technology and workflow mismatch lead to the lowered effectiveness of the system and the ensuing risk of mistakes (Williams et al., 2025).
The use of investment in hardware is also provided with the latest evidence proving that insufficient hardware and barcode readability are major obstacles to the success of the BCMA system (Williams et al., 2025). The obstacles can be resolved to make the systems more reliable and aid in the precise verification of medications. Moreover, staff education and on-the-fly technical assistance are essential to risks in case of BCMA and CDS implementation since the existing evidence has proved a correlation between the variability of user proficiency and technology utilization and medication errors.
Besides, optimization of CDS alerts with tiered alerting and usability testing is also of importance. Research demonstrates that CDS systems significantly minimize a number of medication errors, and the likelihood of medication errors linked to electronic interventions approached 15 percent in comparison to typical care (Colin et al., 2025). Finally, it is essential to improve the data integrity and monitoring process to be confident about the correctness of the decision-making process. To sum up, all the mitigation strategies presented above are evidence-based and necessary to provide the maximum safety benefits of the BCMA and CDS and minimize adverse effects of the approach, thereby enhancing patient performance, as well as organizational performance.
Change Management Strategies
The successful execution of BCMA and CDS by the Cleveland Clinic entails the planning and execution of change management. A change management model suggested by Kotter is one of such strategies. Kotter’s model emphasizes the creation of urgency, developing the guiding coalition, and institutionalizing change. Research indicates that the Kotter change management model is commonly implemented within the healthcare industry to enhance the implementation of safety initiatives and adherence to safety initiatives (Graves et al., 2023). Stakeholder involvement is another change management strategy.
The roles of nurses, physicians, and information technology (IT) staff in implementing and designing the technology matter. Research indicates that stakeholder participation in designing and implementing health technology is significant to minimize opposition to the adoption of health technology (Houwelingen et al., 2023). Also, education and training courses are relevant to mitigate the difference in the degree of skills among the staff. Mechanisms of communication and feedback are also crucial. Informing about the usefulness of the technology, as well as constant feedback and evaluation of the performance, will contribute to the maintenance of the engagement and encouragement of such behaviors further (Hu et al., 2025).
Another obstacle that could be overcome for a successful implementation would be working with a lack of equipment or effective work processes. Lastly, attaining short-term gains (like reduced numbers of drug errors or compliance) will assist in strengthening the advantages of the change, which, in turn, will affect long-term sustainability.
Conclusion
Summarize, there is a great potential in implementing the system of BCMA and CDS in the EHR to improve patient safety and quality of care. The Cleveland Clinic is a powerful organization regarding basic competencies. Nevertheless, risks must be mitigated to ensure that there is successful integration of these technologies. The use of SAFER Guides has been a guide towards the proactive method of risk alleviation and enhancement. In general, the implementation of data-driven knowledge and change management is a valuable, sustainable improvement opportunity in terms of healthcare quality and patient outcomes.
For complete details and assessments about the class NURS-8022, visit: NURS-FPX 8022 Nursing Technology and Advanced Healthcare Information Systems
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NURS FPX8022 Assessment 3
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References for
NURS-FPX 8022 Assessment 3
Below are references for NURS FPX 8022 Assessment 3 Risk Mitigation Plan:
Alder, S. (2025, April 22). Electronic medical records and HIPAA. HIPAA Journal. https://www.hipaajournal.com/electronic-medical-records-and-hipaa/
Alwadei, A. (2024). Health information systems and their role in improving quality of care outcomes. Power System Technology, 48(4), 11923–11928. https://doi.org/10.52783/pst.3287
Chakravarthy, D. G., Gopi, R., Murugan, S., & Joseph, E. R. (2025). Enhancing confidentiality and access control in electronic health record systems using a hybrid hashing blockchain framework. Scientific Reports, 15(1), e30379. https://doi.org/10.1038/s41598-025-13831-5
Colin, M. N., Octaviany, S. T., Darmawan, M., Anggi, J. F., Kusuma, C. F., & Kautsar, A. P. (2025). Meta-analysis of randomized controlled trials of electronic health interventions to reduce medication errors. Nature Partner Journals Digital Medicine, 8(1), 767. https://doi.org/10.1038/s41746-025-02127-7
Graves, L., Dalgarno, N., Hoorn, R. V., Truelove, A. H., Mulder, J., Kolomitro, K., Kirby, F., & Wylick, R. van. (2023). Creating change: Kotter’s change management model in action. Canadian Medical Education Journal, 14(3), 136–139. https://pmc.ncbi.nlm.nih.gov/articles/PMC10351637/
Houwelingen, T. van , Meeuse, A. C. M., & Kort, H. (2023). International Journal of Nursing Studies Advances, 6, e100170. https://doi.org/10.1016/j.ijnsa.2023.100170
Hu, Y., Ngai, C. S., & Jiang, R. (2025). Communication strategies to promote patient engagement in telemedicine: Systematic review (preprint). Journal of Medical Internet Research, 28, e85456. https://doi.org/10.2196/85456
Syrowatka, A., Motala, A., Lawson, E., & Shekelle, P. (2024, February). Computerized clinical decision support to prevent medication errors and adverse drug events: Rapid review. PubMed; Agency for Healthcare Research and Quality (US). https://www.ncbi.nlm.nih.gov/books/NBK600580/
Vivian, J. C. (2024, September 18). Medication errors and liability issues. Uspharmacist.com. https://www.uspharmacist.com/article/medication-errors-and-liability-issues
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