NURS FPX 4905 Assessment 4 Intervention Proposal
Student Name
Capella University
NURS-FPX4905 Capstone Project for Nursing
Prof. Name
Date
Intervention Proposal
The Longevity Center is a wellness-focused clinical practice specializing in regenerative medicine, including hormone therapy, advanced diagnostics, and preventive care. The clinic serves a diverse patient population seeking personalized, proactive healthcare solutions. A recurring issue at the site involves diagnostic delays, especially in complex cases where early intervention is critical (Sierra et al., 2021). The purpose of this proposal is to present a strategic intervention aimed at reducing these delays through technology and workflow optimization.
Identification of the Practice Issue
Diagnostic delays have been observed in cases involving multiple symptoms and unclear clinical pathways, leading to prolonged treatment planning. This is particularly critical in regenerative medicine, where timely identification of hormonal imbalances, nutritional deficiencies, or autoimmune triggers can significantly impact the effectiveness of treatments like bioidentical hormone therapy, peptide therapy, and cellular rejuvenation protocols (Sierra et al., 2021). Previous assessments revealed delayed lab result interpretation due to fragmented communication between staff and lack of prioritization protocols.
Current Practice
Currently, The Longevity Center relies on paper-based intake forms and manual entry into the electronic health record (EHR), which increases the risk of data loss and delays. Lab results are manually reviewed without a structured alert system to flag critical abnormalities. There is no Clinical Decision Support System (CDSS) in place to aid diagnostic reasoning or prioritize urgent cases (Sierra et al., 2021). Moreover, staff follow non-standardized workflows, resulting in variability in care quality and timeline, an issue that is particularly detrimental in regenerative medicine, where prompt, data-driven decisions are essential for initiating therapies such as stem cell infusions, platelet-rich plasma treatments, or hormonal optimization protocols that depend heavily on timely and accurate diagnostics.
Proposed Strategy
To enhance the existing diagnostic processes in The Longevity Center, the following strategic intervention can be offered: the introduction of a standardized diagnostic intake process with a CDSS. This is a direct solution to problems like discrepancy in intake, late lab interpretation, and unorganized decision-making which are major problems in regenerative medicine where quick and precise diagnostics are key to therapies like stem cell injections, peptide protocol, and hormonal optimization (Wolfien et al., 2023). The plan is aimed at streamlining the workforce and organizational processes with the approach of intelligent redesign and information technology.
Training of nursing personnel and providers on standardized intake procedures that will facilitate full documentation of patient history, identification of red flags, and initial assessments that are paramount in planning regenerative treatments are key changes. The absorption procedure will be digitalized and organized in the Electronic Health Record (EHR), which will result in the enhancement of the quality and circulation of vital clinical information, such as hormone levels, micronutrient panels, and inflammatory markers regularly required in regenerative care. An automated CDSS will be put in place to automatically flag abnormal results, provide evidence-based advice specific to regenerative medicine and remind clinicians to make timely and specific interventions (Khalil et al., 2025).
The workflow with the intakes will be redesigned as well, and the interprofessional huddles will be regularly conducted to discuss the CDSS alerts and other lab trends, including those about the platelet rich plasma (PRP) readiness or cell repair status. IT employees will be in a position to maintain seamless integration of CDSS-EHR with minimal interruption. The plan is based on the assumption that employees will adjust to the changes properly trained, that the implementation of technology will be gradual, and the organization of communication will be enhanced to promote cooperation (Klein, 2025). All of these changes are meant to enhance the quality of diagnoses, patient safety, and the provision of patient-centered regenerative care efficiency.
Impact on Quality, Safety, and Cost
The suggested plan of adopting a standard diagnostic intake procedure combined with a CDSS considerably increases quality, safety, and affordability of care in The Longevity Center. Application of organized protocols on intake and utilization of CDSS tools can improve the accuracy of diagnosis particularly in regenerative medicine where illnesses tend to be complex cases of hormonal imbalances, chronic inflammatory processes, or cellular degeneration. The given method enhances quality through the consistent documentation, limited diagnostic omissions, and correlation of clinical decision-making with evidence-based regenerative medicine, including the evaluation of the suitability of PRP injections, stem cells treatment, or peptide regimens (Ghasroldasht et al., 2022).
It is due to this reason that patients get timely and specific diagnosis and thus the outcomes are better and their satisfaction towards the personalized care plans is more.The automatic CDSS features that highlight the existence of critical abnormalities such as a high level of cytokines, hormonal imbalance or lack of microelements, which may jeopardize the success of regenerative treatment, contribute greatly to safety. Shared dashboards and real time alerts are also effective in enhancing interdisciplinary communication, eliminating handoff errors and assuring that critical indicators are not overlooked during care transitions (White et al., 2023).
The strategy has a definite financial advantage. Identification of the metabolic abnormalities or immune stimuli early on would prevent the subsequent development of acute episodes that could be avoided at up to 8,000 or 15,000 dollars each compared to emergency care. Avoiding unnecessary tests of hormones, inflammatory markers or imaging will save $100-500 by test. Though initial costs of training and technological purchases are required, the resulting long-term savings due to improved results and efficiency and decreased liability, which is particularly valuable in a precision-oriented field such as regenerative medicine, make this a very cost-effective intervention (White et al., 2023).
Role of Technology
The application of technology in this improvement strategy is centered around the integration of a CDSS within the existing EHR platform. This combination is the most appropriate and effective use of technology for addressing diagnostic delays at The Longevity Center, especially in the context of regenerative medicine where timely data interpretation directly impacts treatment outcomes. The CDSS will provide real-time clinical guidance by analyzing patient data, flagging abnormal lab results such as hormonal imbalances or inflammatory markers, suggesting differential diagnoses, and offering evidence-based recommendations during the intake and diagnostic process (Derksen et al., 2025). This capability directly targets the current issue of inconsistent documentation and delayed diagnostic decision-making by standardizing and streamlining clinical workflows for therapies like bioidentical hormone replacement, PRP injections, and cellular therapy.
Integrating the CDSS into the EHR allows for seamless access to patient records, lab values, and historical data, enabling providers to make informed decisions without the need to navigate multiple systems. It reduces cognitive load, minimizes human error, and ensures that critical information, such as trends in biomarkers essential for regenerative protocols is not overlooked (Klein, 2025). In addition, automation features such as alerts for overdue follow-ups, high-risk symptoms, or duplicate testing further enhance safety and efficiency.
NURS FPX 4905 Assessment 4 Intervention Proposal
This technology also supports improved communication and interprofessional collaboration. A shared dashboard can be used to highlight urgent clinical findings like elevated cytokine levels or immune dysregulation, facilitating timely discussions during daily huddles or interdisciplinary rounds. Moreover, the system’s analytics functions can track trends, flag recurring bottlenecks, and help the clinic continuously evaluate and refine diagnostic processes essential to regenerative medicine planning. Given the clinic’s commitment to cutting-edge regenerative and precision medicine, leveraging a CDSS aligns perfectly with its vision (Hermerén, 2021). It supports high-quality, personalized care delivery while reducing variability in practice, making it the most appropriate technological intervention for this context.
Implementation at Practicum Site
Implementing the proposed improvement strategy at The Longevity Center requires a phased, collaborative approach that is sensitive to the site’s unique structure and challenges. The strategy begins with a pilot phase that introduces a standardized diagnostic intake process and integrates a CDSS into the existing EHR. This phase will involve a small team of providers and staff members to test the new workflow, gather feedback, and make necessary adjustments before a full clinic-wide rollout (Klein, 2025). This is particularly important in a regenerative medicine setting where early identification of hormonal imbalances, inflammatory markers, or micronutrient deficiencies can significantly influence patient eligibility and timing for therapies such as platelet-rich plasma (PRP) injections or stem cell treatments.
One of the primary site-specific challenges is staff resistance to change. Many providers and support staff are accustomed to their current documentation and diagnostic routines even if they are inefficient. This is often seen in the handling of complex regenerative protocols where manual chart reviews and unstructured notes are still common. To address this, early buy-in from clinical leadership and key stakeholders will be critical. This can be achieved through clear communication about the benefits of the strategy including how it will make their work easier, improve treatment precision, and enhance patient outcomes in regenerative care (Ghasroldasht et al., 2022). Hosting interactive training sessions, offering continuing education credits, and identifying peer champions who support the change can also ease the transition.
Another anticipated challenge is financial. Budget constraints may limit immediate access to advanced CDSS platforms or require prioritizing technology upgrades essential for interpreting data specific to regenerative therapies. To overcome this, the clinic can seek external funding through quality improvement grants, negotiate phased licensing agreements, or partner with academic institutions offering research-based support. Finally, technological limitations such as integration issues between the EHR and the new CDSS may arise. Collaborating with IT professionals early in the planning process will help identify system compatibility concerns and ensure a smooth deployment (Makhni & Hennekes, 2023). For example, setting up a test environment to simulate real workflow scenarios including diagnostic pathways for regenerative treatments like hormonal rebalancing or immune modulation before going live can prevent costly disruptions and optimize implementation.
Interprofessional Collaboration
The success of the proposed diagnostic improvement strategy at The Longevity Center is impossible without interprofessional collaboration, especially given the setting of regenerative medicine. Coordinated interdisciplinary collaboration is required to implement a CDSS and standardized intake process with physicians, nurse practitioners, nurses, medical assistants, administrative staff, and IT professionals. The given groups have their own contribution to the acceptance and sustainability of this workflow. The redesign of the intake process will be implemented by nurse practitioners and nurses who will make sure that the history of patients is adequately that drive regenerative treatments such as PRP or peptide protocols (Makhni & Hennekes, 2023).
The IT personnel will be significant in integrating the CDSS into the EHR system, technical challenges, and customization of features to generate clinical regenerative needs. Administrative personnel will also organize schedules, coordinate training logistics and monitor adherence to new protocols (Hermerén, 2021). The implementation will be managed by physicians and clinical leaders who will specify regenerative-specific diagnostic criteria and integrate with the personalized treatment pathway such as cell therapy or bioidentical hormone replacement. The effective teamwork tool will be daily interdisciplinary huddles to communicate on the flagged labs or difficult regenerative cases with the support of a common EHR dashboard to facilitate open communication (Makhni & Hennekes, 2023). Such teamwork enhances the clinical precision, workflow efficiency, and adherence to the clinic motto of high-tech regenerative care on a patient-centric basis.
Conclusion
The proposed intervention will streamline diagnostics through standardized intake and CDSS integration, enhancing accuracy and efficiency. It supports improved quality, patient safety, and reduced costs through early detection and fewer unnecessary procedures. Successful implementation depends on interprofessional collaboration, strategic planning, and phased adoption. This initiative reflects the BSN nurse’s leadership in driving meaningful, evidence-based change in clinical practice.
References
Derksen, C., Walter, F. M., Akbar, A. B., Parmar, A. V. E., Saunders, T. S., Round, T., Rubin, G., & Scott, S. E. (2025). The implementation challenge of computerised clinical decision support systems for the detection of disease in primary care: Systematic review and recommendations. Implementation Science , 20, 1–33. https://doi.org/10.1186/s13012-025-01445-4
Ghasroldasht, M. M., Seok, J., Park, H.-S., Liakath Ali, F. B., & Al-Hendy, A. (2022). Stem cell therapy: From idea to clinical practice. International Journal of Molecular Sciences, 23(5). https://doi.org/10.3390/ijms23052850
Hermerén, G. (2021). The ethics of regenerative medicine. Biologia Futura, 72, 113–118. https://doi.org/10.1007/s42977-021-00075-3
Khalil, C., Saab, A., Rahme, J., Bouaud, J., & Seroussi, B. (2025). Capabilities of computerized decision support systems supporting the nursing process in hospital settings: A scoping review. Biomed Central Nursing, 24(1). https://doi.org/10.1186/s12912-025-03272-w
Klein, N. J. (2025). Patient blood management through electronic health record [EHR] optimization (pp. 147–168). Springer Nature. https://doi.org/10.1007/978-3-031-81666-6_9
Makhni, E. C., & Hennekes, M. E. (2023). The use of patient-reported outcome measures in clinical practice and clinical decision making. The Journal of the American Academy of Orthopaedic Surgeons, 31(20), 1059–1066. https://doi.org/10.5435/JAAOS-D-23-00040
Sierra, Á., Kim, K. H., Morente, G., & Santiago, S. (2021). Cellular human tissue-engineered skin substitutes investigated for deep and difficult to heal injuries. Regenerative Medicine, 6(1), 1–23. https://doi.org/10.1038/s41536-021-00144-0
NURS FPX 4905 Assessment 4 Intervention Proposal
White, N., Carter, H. E., Borg, D. N., Brain, D. C., Tariq, A., Abell, B., Blythe, R., & McPhail, S. M. (2023). Evaluating the costs and consequences of computerized clinical decision support systems in hospitals: A scoping review and recommendations for future practice. Journal of the American Medical Informatics Association, 30(6), 1205–1218. https://doi.org/10.1093/jamia/ocad040
Wolfien, M., Ahmadi, N., Fitzer, K., Grummt, S., Heine, K.-L., Jung, I.-C., Krefting, D., Kuhn, A. N., Peng, Y., Reinecke, I., Scheel, J., Schmidt, T., Schmücker, P., Schüttler, C., Waltemath, D., Zoch, M., & Sedlmayr, M. (2023). Ten topics to get started in medical informatics research. Journal of Medical Internet Research, 25. https://doi.org/10.2196/45948
