NURS FPX 4905 Assessment 4

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 specialized wellness clinic focusing on regenerative medicine, including hormone therapy, advanced diagnostics, and preventive healthcare. It caters to a diverse patient population seeking personalized and proactive interventions. A recurring challenge at the clinic is the delay in diagnostics, particularly in complex cases where early intervention is critical (Sierra et al., 2021). This proposal outlines a strategic intervention aimed at reducing diagnostic delays through technology integration and workflow optimization.

Identification of the Practice Issue

What is the practice issue?

The clinic has experienced diagnostic delays, particularly in cases with multiple symptoms and unclear clinical pathways. These delays can significantly affect patient outcomes in regenerative medicine, where timely detection of hormonal imbalances, nutritional deficiencies, or autoimmune triggers is crucial for treatments such as bioidentical hormone therapy, peptide therapy, and cellular rejuvenation protocols (Sierra et al., 2021).

A prior evaluation revealed that fragmented communication among staff and the absence of prioritization protocols contributed to delayed interpretation of laboratory results. This situation impacts treatment planning and overall patient safety.

Current Practice

How is care currently delivered?

Currently, The Longevity Center relies on paper-based intake forms and manual entry into the electronic health record (EHR). Lab results are reviewed manually, and there is no Clinical Decision Support System (CDSS) to aid in diagnostic reasoning or prioritize urgent cases. Staff follow non-standardized workflows, which leads to variability in the quality and timing of care.

These gaps particularly affect regenerative medicine, where prompt, data-driven decisions are essential.

Proposed Strategy

What strategy is proposed to address the issue?

The proposed strategy focuses on implementing a standardized diagnostic intake process integrated with a CDSS. This approach aims to reduce discrepancies in intake, improve lab interpretation, and streamline decision-making processes (Wolfien et al., 2023).

Key steps include:

1. Standardized Intake Training – Nurses and providers will be trained to collect comprehensive patient histories, identify red flags, and conduct initial assessments critical for regenerative treatments.
2. Digital Integration – Intake data will be digitized within the EHR, improving accessibility and circulation of essential clinical information, such as hormone panels, micronutrient levels, and inflammatory markers.
3. Automated CDSS – The system will flag abnormal results, provide evidence-based guidance specific to regenerative medicine, and remind clinicians to intervene timely (Khalil et al., 2025).
4. Workflow Redesign – Interprofessional huddles will discuss CDSS alerts and lab trends, including PRP readiness or cellular repair status. IT staff will ensure seamless integration of CDSS-EHR with minimal disruption.

The strategy assumes proper staff training, gradual technology implementation, and enhanced communication to foster collaboration (Klein, 2025). These interventions aim to improve diagnostic quality, patient safety, and care efficiency.

Impact on Quality, Safety, and Cost

How will this intervention affect patient care?

Adopting a standardized intake procedure with CDSS integration enhances quality, safety, and cost-effectiveness at The Longevity Center.

The intervention ensures timely and specific diagnoses, leading to better patient outcomes and higher satisfaction with personalized care plans.

Role of Technology

How does technology support this intervention?

The CDSS integrated with the EHR is central to addressing diagnostic delays. Its functions include:

• Real-time analysis of patient data
• Flagging abnormal lab results
• Suggesting differential diagnoses
• Providing evidence-based recommendations

Integration improves accessibility to historical patient data, reduces cognitive burden on clinicians, and minimizes errors (Derksen et al., 2025). Automation alerts for overdue follow-ups, high-risk symptoms, or duplicate testing enhance safety and efficiency.

Shared dashboards facilitate interprofessional collaboration, highlighting urgent clinical findings, tracking trends, and identifying workflow bottlenecks. The technology aligns with the clinic’s mission of precision and high-tech regenerative medicine (Hermerén, 2021).

Implementation at Practicum Site

How will the strategy be implemented?

Implementation will occur in phased stages:

1. Pilot Phase – Introduce standardized intake and CDSS to a small team to test workflows, gather feedback, and refine processes (Klein, 2025).
2. Staff Engagement – Overcome resistance through leadership buy-in, interactive training, continuing education credits, and peer champions (Ghasroldasht et al., 2022).
3. Financial Planning – Utilize grants, phased licensing, or academic partnerships to address budget constraints.
4. Technical Preparation – Collaborate with IT to ensure system compatibility and simulate workflows for regenerative protocols before full deployment (Makhni & Hennekes, 2023).

Interprofessional Collaboration

Who is involved in this strategy?

Interdisciplinary collaboration is essential for successful implementation.

This collaborative approach promotes workflow efficiency, clinical precision, and adherence to the clinic’s patient-centered care model (Makhni & Hennekes, 2023).

Conclusion

The proposed intervention, consisting of standardized intake and CDSS integration, aims to improve diagnostic accuracy, patient safety, and cost-effectiveness. Successful implementation depends on interprofessional collaboration, phased adoption, and strategic planning. This initiative highlights the role of BSN nurses in leading evidence-based improvements that advance patient-centered regenerative care.

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

NURS FPX 4905 Assessment 4 Intervention Proposal

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

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

NURS FPX 4905 Assessment 4 Intervention Proposal

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