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 healthcare facility that emphasizes regenerative and preventive medicine. It specializes in hormone therapy, advanced diagnostics, and wellness-focused treatments for a diverse group of patients seeking customized care. A major issue identified at this site is diagnostic delays, particularly in complex cases where early identification is crucial to prevent worsening conditions and to initiate timely treatment (Sierra et al., 2021). This proposal presents an evidence-based intervention to minimize diagnostic delays by introducing technological solutions and workflow optimization.

Identification of the Practice Issue

Diagnostic delays occur most often when patients present with multiple, overlapping symptoms that lack clear diagnostic pathways. Such delays can hinder the timely initiation of regenerative therapies like peptide treatments, bioidentical hormone replacement, or cellular rejuvenation protocols. In regenerative medicine, postponing diagnosis of hormone imbalance, nutritional deficiency, or autoimmune markers can directly affect treatment efficacy.

Assessments at the site have revealed that slow interpretation of lab results and poor communication between staff members are major contributing factors. The absence of structured prioritization systems means abnormal or urgent findings are not addressed in a timely manner (Sierra et al., 2021).

Current Practice

At present, The Longevity Center relies on outdated diagnostic methods. Patient intake is still completed on paper forms, which are then entered manually into the electronic health record (EHR). This process increases the risk of delays, errors, and incomplete data entry. Lab results are reviewed manually and lack an alert system to flag urgent abnormalities.

Furthermore, no Clinical Decision Support System (CDSS) is available to assist clinicians in prioritizing cases or guiding evidence-based decisions. Staff members often follow inconsistent workflows, which increases variability in the quality and timeliness of care. This inconsistency is particularly problematic in regenerative medicine, where quick, data-driven decision-making is crucial to the success of advanced therapies.

Current Practice Summary

• Patient intake: Paper-based and manually transferred into the EHR, prone to data errors.
• Lab result handling: Reviewed manually without automated alerts, increasing delays.
• Workflow: Non-standardized, leading to variability in care delivery.
• Diagnostic tools: Absence of CDSS, limiting diagnostic consistency and efficiency.

Proposed Strategy

The intervention proposes the adoption of a standardized diagnostic intake system combined with CDSS integration into the EHR. This solution directly addresses inefficiencies such as late lab interpretation, inconsistent intake documentation, and unstructured decision-making.

Key Elements of the Proposed Strategy

• Digitalized patient intake through structured EHR templates.
• Standardized intake protocols to ensure consistent documentation and identification of red flags.
• Automated CDSS alerts for abnormal laboratory findings and evidence-based clinical guidance (Khalil et al., 2025).
• Regular interprofessional meetings to review flagged cases and ensure prompt action.
• IT support for smooth integration of CDSS into EHR.

Comparison of Approaches

• Intake process: From paper-based to digital and standardized.
• Lab results: From manual review to automated CDSS alerts.
• Clinical decision-making: From subjective judgment to evidence-based recommendations.
• Team communication: From informal discussions to structured interdisciplinary huddles.
• Technology: From limited EHR use to integrated CDSS support.

Impact on Quality, Safety, and Cost

The implementation of this strategy is expected to significantly enhance clinical outcomes while ensuring cost savings.

Quality

The accuracy of diagnoses will improve with structured documentation and CDSS-supported decision-making. Missed diagnoses will be reduced, and patients will benefit from timely initiation of regenerative therapies such as platelet-rich plasma (PRP), stem cell protocols, and peptide therapies (Ghasroldasht et al., 2022).

Safety

Real-time alerts will prevent oversights of critical values like elevated cytokines or hormone imbalances. Dashboards for interprofessional use will enhance communication and reduce clinical handoff errors (White et al., 2023).

Cost

The strategy will reduce unnecessary tests and avoid preventable hospitalizations. Although training and technology require upfront investment, long-term savings from improved outcomes and efficiency will outweigh these costs.

Role of Technology

Technology is central to this intervention. By integrating a CDSS into the EHR, clinicians will receive real-time guidance on abnormal findings, potential diagnoses, and recommended treatments (Derksen et al., 2025). This will reduce reliance on manual review and minimize human error.

Automation will also flag overdue follow-ups and duplicate testing, reducing redundancy. Interprofessional dashboards will enhance collaboration by highlighting urgent findings during daily clinical discussions. This aligns with The Longevity Center’s vision of offering advanced, personalized regenerative medicine while improving efficiency (Hermerén, 2021).

Implementation at Practicum Site

The proposed intervention will be implemented in phases, starting with a pilot program involving a small group of staff and patients. Feedback will be used to refine workflows before expanding clinic-wide.

Challenges and Solutions

• Staff resistance: Addressed through leadership engagement, peer champions, and training with continuing education credits.
• Financial limitations: Managed through grants, phased licensing, or academic partnerships.
• Technical barriers: Prevented through early IT involvement and simulated workflow testing (Makhni & Hennekes, 2023).

Interprofessional Collaboration

Interprofessional collaboration is essential for this strategy’s success. Each team member will play a specific role:

• Nurses and nurse practitioners: Complete standardized intake, document patient history, and identify clinical red flags.
• Physicians: Use CDSS guidance to make treatment decisions for regenerative protocols.
• IT staff: Ensure smooth CDSS-EHR integration and troubleshoot technical issues.
• Administrative staff: Organize schedules, coordinate training, and monitor adherence to workflows.

Daily team huddles will provide a structured platform to review flagged labs and discuss challenging cases. This collaborative approach ensures timely decision-making and promotes patient-centered care.

Conclusion

The integration of standardized intake procedures with CDSS technology will address diagnostic delays at The Longevity Center. This intervention will improve diagnostic accuracy, enhance patient safety, and lower costs. Its success depends on interprofessional teamwork, phased implementation, and strong leadership support. This initiative demonstrates the role of nurses and clinicians in driving meaningful, evidence-based change in regenerative medicine.

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), 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), 1–15. https://doi.org/10.3390/ijms23052850

Hermerén, G. (2021). The ethics of regenerative medicine. Biologia Futura, 72(2), 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. BMC Nursing, 24(1), 1–20. https://doi.org/10.1186/s12912-025-03272-w

Klein, N. J. (2025). Patient blood management through electronic health record [EHR] optimization. In Digital Transformation in Healthcare (pp. 147–168). Springer. https://doi.org/10.1007/978-3-031-81666-6_9

NURS FPX 4905 Assessment 4 Intervention Proposal

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

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, 1–15. https://doi.org/10.2196/45948

NURS FPX 4905 Assessment 4 Intervention Proposal

Yamada, S., Behfar, A., & Terzic, A. (2021). Regenerative medicine clinical readiness. Regenerative Medicine, 16(3), 309–322. https://doi.org/10.2217/rme-2020-0178