NURS FPX 4905 Assessment 4 Intervention Proposal

Name

Capella university

NURS-FPX4905 Capstone Project for Nursing

Prof. Name

Date

Intervention Proposal

The Longevity Center is a specialized clinical practice that emphasizes wellness and regenerative medicine through hormone therapy, preventive care, and advanced diagnostics. Its patient base includes individuals seeking proactive and tailored healthcare options. One of the most persistent issues identified at the site involves delays in diagnostic processes, particularly in complex cases where early recognition of health concerns is crucial for positive outcomes (Sierra et al., 2021). The objective of this proposal is to outline a strategic intervention that reduces diagnostic delays by improving workflow efficiency and leveraging technology, specifically through the integration of a Clinical Decision Support System (CDSS).

Identification of the Practice Issue

Patients presenting with multiple or ambiguous symptoms often experience delays in diagnosis, which prolongs treatment initiation. This challenge is especially concerning in regenerative medicine, where therapies such as peptide protocols, bioidentical hormone replacement, and cellular rejuvenation depend heavily on timely identification of underlying triggers like nutritional deficiencies, autoimmune processes, and hormonal imbalances (Sierra et al., 2021). An internal assessment revealed that diagnostic delays stem from fragmented staff communication, lack of standardized prioritization, and delayed interpretation of laboratory results. These inefficiencies directly compromise patient outcomes, as regenerative medicine relies on precise and timely diagnostics.

Current Practice

At present, The Longevity Center operates with manual, paper-based intake forms that are later transferred into the Electronic Health Record (EHR). This manual process increases the risk of data entry errors and delays. Additionally, laboratory results are manually reviewed, with no alert mechanism in place to flag abnormal findings.

Table 1

Current Practice Gaps

Issue	Current Approach	Consequences in Regenerative Care
Patient intake	Paper-based, manually entered into EHR	Risk of missing data; slow processing
Lab result review	Manual review without alerts	Delayed recognition of critical values
Clinical decision support	No CDSS implemented	Inconsistent reasoning; lack of evidence-based care
Staff workflows	Non-standardized and variable	Inconsistent timelines and care quality

Without a structured CDSS and standardized protocols, variability in workflows remains high, which negatively impacts therapies such as stem cell infusions, PRP treatments, and hormonal optimization.

Proposed Strategy

The primary strategy involves introducing a standardized diagnostic intake process integrated with a CDSS. This solution directly addresses discrepancies in patient intake, late lab interpretation, and inconsistent decision-making. The intervention aims to streamline staff workflow and optimize organizational processes through intelligent redesign and technological advancement (Wolfien et al., 2023).

Key Elements of the Strategy

1. Standardized intake procedures with provider and nurse training.
2. Digital integration of intake forms into the EHR for better documentation.
3. Automated CDSS to flag abnormal labs, suggest evidence-based recommendations, and send reminders (Khalil et al., 2025).
4. Regular interprofessional huddles to review CDSS alerts and treatment readiness.
5. Gradual implementation with IT support to ensure seamless CDSS-EHR integration (Klein, 2025).

Impact on Quality, Safety, and Cost

The intervention is expected to significantly improve the quality, safety, and cost-effectiveness of care at The Longevity Center.

• Quality: Standardized intake and CDSS utilization will reduce diagnostic variability, increase consistency in care, and improve alignment with evidence-based regenerative protocols (Ghasroldasht et al., 2022).
• Safety: Automated alerts will prevent oversight of critical lab findings, enhance interdisciplinary communication, and minimize handoff errors (White et al., 2023).
• Cost: Early identification of imbalances and avoidance of unnecessary tests will reduce both emergency care costs and redundant diagnostics, making the intervention financially sustainable despite initial investment needs.

Table 2

Projected Benefits of Proposed Strategy

Dimension	Expected Outcome	Example in Regenerative Care
Quality	Improved diagnostic accuracy; reduced omissions	Timely detection of micronutrient deficiencies
Safety	Automated alerts for abnormalities; fewer errors	Prevent missed hormonal imbalances or inflammation
Cost	Reduced unnecessary tests and emergency admissions	Avoiding \$8,000–\$15,000 emergency episodes

Role of Technology

Technology serves as the cornerstone of the proposed intervention. By embedding a CDSS into the existing EHR system, providers can access real-time, evidence-based guidance. This includes flagging abnormal lab values, suggesting differential diagnoses, and recommending treatment options aligned with regenerative protocols (Derksen et al., 2025). The integration reduces human error, cognitive load, and the risk of overlooking trends in key biomarkers. Shared dashboards further support interprofessional communication, while analytics tools track long-term trends to refine diagnostic processes (Hermerén, 2021).

Implementation at Practicum Site

Implementation will follow a phased approach, beginning with a pilot program. A small provider team will test the redesigned workflow and CDSS integration, allowing for refinement prior to clinic-wide adoption (Klein, 2025).

Anticipated challenges include staff resistance, financial limitations, and potential technological barriers. Staff will receive training and education to build buy-in. Budget issues will be addressed through phased licensing, grant funding, and academic partnerships. IT professionals will pre-test workflows in simulated environments to ensure smooth integration (Makhni & Hennekes, 2023).

Interprofessional Collaboration

The success of this initiative hinges on collaboration across multiple professional roles.

Table 3

Interprofessional Roles in Implementation

Role	Contribution	Example in Regenerative Care
Nurses & NPs	Implement intake redesign and complete histories	Identifying red flags for PRP or peptide use
Physicians	Define diagnostic criteria and treatment pathways	Determining eligibility for cell therapy
IT Professionals	Manage EHR-CDSS integration and customization	Setting alerts for regenerative-specific labs
Administrative Staff	Coordinate training schedules and monitor compliance	Organizing interdisciplinary team huddles

Collaboration ensures both technological and clinical success, strengthening the clinic’s ability to deliver patient-centered, evidence-based regenerative care.

Conclusion

The proposed intervention—standardized diagnostic intake supported by CDSS integration—will enhance diagnostic accuracy, improve workflow efficiency, and promote high-quality, safe, and cost-effective care. By leveraging technology, encouraging interprofessional collaboration, and phasing implementation strategically, The Longevity Center will be able to deliver timely, patient-centered regenerative treatments that reflect best practices in precision 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, 1–33. 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. BMC Nursing, 24(1). https://doi.org/10.1186/s12912-025-03272-w

NURS FPX 4905 Assessment 4 Intervention Proposal

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