NURS FPX 4905 Assessment 4

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 wellness-oriented clinical facility specializing in regenerative medicine, including advanced diagnostics, hormone therapy, and preventive care. The clinic serves a diverse population seeking personalized and proactive healthcare solutions. A recurring challenge identified at the center involves diagnostic delays, particularly in complex cases where early intervention is essential (Sierra et al., 2021). This proposal aims to introduce a strategic intervention that reduces delays by leveraging technology and workflow optimization.

Identification of the Practice Issue

Diagnostic delays often occur in patients presenting with multiple, nonspecific symptoms, leading to prolonged treatment planning. In regenerative medicine, timely detection of hormonal imbalances, autoimmune triggers, or nutritional deficiencies is critical for the effectiveness of therapies such as bioidentical hormone therapy, peptide therapy, and cellular rejuvenation protocols (Sierra et al., 2021). Prior evaluations at the center revealed fragmented communication, delayed lab result interpretation, and lack of prioritization protocols as major contributors to these delays.

Current Practice

Currently, The Longevity Center relies heavily on paper-based intake forms and manual data entry into electronic health records (EHRs). Lab results are manually reviewed, and there is no Clinical Decision Support System (CDSS) to assist with diagnostic prioritization. Staff follow non-standardized workflows, causing variability in care quality and timing, which is especially detrimental in regenerative medicine, where therapies like stem cell infusions, platelet-rich plasma (PRP) treatments, and hormonal optimization require timely, data-driven decisions (Sierra et al., 2021).

Table 1: Current Practice Challenges

Proposed Strategy

The recommended strategy involves introducing a standardized diagnostic intake process supported by a CDSS. This intervention addresses issues such as delayed lab interpretation, unstructured decision-making, and inconsistent patient documentation—problems that significantly affect regenerative medicine outcomes (Wolfien et al., 2023). The approach focuses on workflow redesign and technological integration to enhance efficiency and accuracy.

Key components of the strategy include:

• Training: Nursing staff and providers will be trained in standardized intake procedures to ensure complete patient histories, identification of clinical red flags, and initial assessments critical for regenerative treatments.
• Digital Integration: The intake process will be digitalized within the EHR, improving the accessibility and circulation of vital patient information, including hormone panels, inflammatory markers, and micronutrient levels.
• CDSS Implementation: An automated CDSS will flag abnormal results, provide evidence-based recommendations tailored to regenerative medicine, and remind clinicians of timely interventions (Khalil et al., 2025).
• Workflow Redesign: Interprofessional huddles will review CDSS alerts and lab trends, including PRP readiness and cellular repair status. IT personnel will ensure seamless CDSS-EHR integration with minimal disruption.

Table 2: Proposed Strategy Elements

Impact on Quality, Safety, and Cost

Implementing a standardized intake process combined with CDSS improves the quality, safety, and cost-effectiveness of care. Accurate documentation, reduced diagnostic omissions, and evidence-based decision-making enhance the quality of regenerative treatments such as PRP injections, stem cell therapy, and peptide protocols (Ghasroldasht et al., 2022).

Safety is enhanced through CDSS alerts for critical abnormalities, including elevated cytokines, hormonal imbalances, or micronutrient deficiencies. Shared dashboards promote interdisciplinary communication, reduce handoff errors, and ensure critical indicators are addressed in real time (White et al., 2023).

Financially, early detection of metabolic or immune abnormalities can prevent acute episodes costing thousands of dollars in emergency care. Avoiding unnecessary lab tests can also reduce costs by \$100–\$500 per test. While initial technology and training costs are required, long-term savings are realized through improved patient outcomes and operational efficiency (White et al., 2023).

Role of Technology

Technology is central to this improvement plan. Integrating a CDSS within the EHR platform provides real-time clinical guidance by:

• Flagging abnormal lab results such as hormonal imbalances or inflammatory markers.
• Suggesting differential diagnoses and evidence-based recommendations.
• Reducing cognitive load and minimizing human error.
• Facilitating interprofessional collaboration via shared dashboards for urgent clinical findings.

The CDSS-EHR integration ensures timely interpretation of diagnostic data, streamlines workflows, and supports therapies like bioidentical hormone replacement, PRP injections, and cellular therapy. Analytics functions track trends, highlight recurring bottlenecks, and continuously refine the diagnostic process (Derksen et al., 2025; Hermerén, 2021).

Implementation at Practicum Site

The strategy will be implemented in phases to accommodate site-specific challenges:

1. Pilot Phase: Introduce standardized intake and CDSS with a small provider team to test workflows and gather feedback.
2. Addressing Resistance: Engage clinical leadership and staff through communication, interactive training, peer champions, and continuing education credits to encourage buy-in (Ghasroldasht et al., 2022).
3. Financial Planning: Explore grants, phased licensing, or academic partnerships to support CDSS acquisition and integration.
4. Technical Preparation: Collaborate with IT to test system compatibility and simulate workflows before full deployment (Makhni & Hennekes, 2023).

Interprofessional Collaboration

Successful implementation relies on coordinated collaboration among physicians, nurse practitioners, nurses, medical assistants, administrative staff, and IT professionals.

• Nurses/Nurse Practitioners: Conduct standardized intake and ensure accurate patient histories.
• IT Staff: Integrate and maintain CDSS within the EHR, addressing technical challenges.
• Administrative Personnel: Coordinate schedules, training, and adherence monitoring.
• Physicians/Clinical Leaders: Define regenerative-specific diagnostic criteria and integrate with personalized treatment plans.

Daily interdisciplinary huddles using a shared EHR dashboard facilitate communication on flagged labs and complex cases, promoting clinical precision, workflow efficiency, and patient-centered care (Makhni & Hennekes, 2023).

Conclusion

Implementing standardized intake procedures and CDSS integration at The Longevity Center streamlines diagnostics, improves accuracy, enhances patient safety, reduces costs, and supports personalized regenerative care. Success depends on interprofessional collaboration, phased adoption, and strategic planning. This initiative exemplifies BSN nurse leadership in evidence-based practice improvement.

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

NURS FPX 4905 Assessment 4 Intervention Proposal

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