Student Name
Capella University
NURS-FPX4905 Capstone Project for Nursing
Prof. Name
Date
Technology and Professional Standards
Technology and professional standards are central to enhancing quality, safety, and efficiency in modern healthcare delivery. In regenerative medicine, where diagnostic complexity often poses challenges, the integration of advanced technologies alongside adherence to professional standards is essential for timely and accurate interventions (Kantaros & Ganetsos, 2023). At The Longevity Center, addressing diagnostic delays requires a strong alignment between evidence-based nursing practice, technological innovation, and interprofessional collaboration.
This discussion highlights the contributions of BSN-prepared nurses in process improvement, explores current technology usage, evaluates government recommendations, and reviews literature-based solutions. Additionally, it identifies potential challenges in implementing new diagnostic tools while suggesting strategies to overcome them.
Role of the BSN-Prepared Nurse in Process Improvement and Professional Standards
BSN-prepared nurses play an essential role in ensuring diagnostic accuracy and timely care by applying professional standards and leading process improvements. At The Longevity Center, the challenge of delayed or inconsistent diagnoses requires a proactive nursing approach that emphasizes evidence-based practice, effective communication, and patient advocacy.
Key Responsibilities of BSN-Prepared Nurses
| Responsibility | Description |
|---|---|
| Comprehensive Clinical Intake | Ensuring patient histories are detailed and accurate. |
| Lab Interpretation | Assisting in reviewing blood panels and identifying potential abnormalities. |
| Process Gap Detection | Identifying inefficiencies in diagnostic procedures and recommending solutions. |
| Ethical Practice | Upholding the ANA Code of Ethics through accountability and patient-centered care (American Nurses Association, 2025). |
| Interprofessional Communication | Collaborating with providers to ensure continuity and quality of care. |
Nurses also play a vital role in identifying cases where additional evaluation or advanced diagnostic tools are necessary. For example, delays in reviewing Longevity blood panels or inconsistencies in charting can result in missed therapeutic opportunities. By standardizing patient history collection and ensuring consistent case reviews, nurses actively contribute to improved diagnostic precision.
Interprofessional Collaboration in Regenerative Healthcare
Collaboration between healthcare professionals is fundamental in regenerative medicine, particularly in managing diagnostic complexities. At The Longevity Center, interprofessional collaboration involves nurses, physicians, nurse practitioners, and administrative staff working together to enhance diagnostic efficiency and patient outcomes.
During clinical practice, I participated in chart reviews and contributed to case discussions regarding blood panels and patient readiness for regenerative treatments such as platelet-rich plasma (PRP) and stem cell therapies. This collaboration ensures that each professional’s expertise contributes to a holistic understanding of patient needs.
Strategies for Stronger Interprofessional Collaboration
- Structured communication systems (e.g., interdisciplinary case huddles).
- Shared digital platforms for real-time coordination of care.
- Timely updates between providers and nurses during intake and follow-up.
These practices reduce delays in diagnostic interpretation and promote consistency in treatment planning (Kantaros & Ganetsos, 2023). The benefits include more accurate diagnoses, earlier initiation of therapies, improved patient satisfaction, and reduced risk of fragmented communication.
Government Agency Recommendations
Several regulatory bodies emphasize the importance of accurate and timely diagnosis in enhancing patient safety. Their recommendations provide valuable direction for The Longevity Center in addressing diagnostic inefficiencies.
| Agency | Recommendation | Relevance to Longevity Center |
|---|---|---|
| The Joint Commission (2021) | Accurate and timely diagnosis, effective communication, standardized data collection | Intake processes lack uniformity, leading to diagnostic delays |
| Agency for Healthcare Research and Quality (2024) | Clinical decision support, evidence-based care models, data-driven decision-making | Promotes consistency and reduces care variability |
| National Database of Nursing Quality Indicators (Montalvo, 2020) | Focus on timely assessments, documentation, and collaboration | Reinforces nursing’s role in preventing diagnostic errors |
These agencies collectively highlight that structured processes, early intervention, and teamwork are vital to achieving diagnostic accuracy and reducing patient risk.
Current Technology Utilized
The Longevity Center currently employs several technologies to support diagnostics, including ultrasound, electronic health records (EHR), and the specialized Longevity blood panel.
- Ultrasound: Guides regenerative procedures such as PRP and stem cell injections.
- EHR System: Stores intake information, diagnostic findings, and patient progress notes.
- Longevity Blood Panel: Provides a comprehensive view of metabolic, hormonal, and inflammatory markers.
Despite these technologies, limitations exist. The EHR system is not interoperable with external labs, requiring manual data entry and increasing the risk of transcription errors. Furthermore, the absence of a centralized clinical decision support system delays recognition of abnormal results. These inefficiencies contribute to diagnostic delays and hinder treatment optimization (Yamada et al., 2021).
Literature-Based Technology Recommendations for Improving Diagnostic Delays
Emerging research supports several technological solutions to improve diagnostic efficiency in regenerative medicine.
| Technology | Pros | Cons |
|---|---|---|
| Clinical Decision Support Systems (CDSS) | Real-time alerts, abnormal lab flagging, evidence-based recommendations | Customization needed, alert fatigue, high cost |
| Artificial Intelligence (AI) Diagnostics | Rapid data analysis, pattern recognition, improved diagnostic accuracy | Expensive, privacy concerns, staff resistance (Nosrati & Nosrati, 2023) |
| Remote Patient Monitoring (RPM) | Early detection, personalized care, continuous tracking | Patient compliance, technical glitches, EHR integration issues (Petrosyan et al., 2022) |
These tools have significant potential, but successful adoption requires training, integration with workflows, and adequate financial investment.
Potential Implementation Issues and Solutions for New Diagnostic Technologies
Introducing new technologies such as CDSS, AI, and RPM may face several barriers at The Longevity Center.
Challenges:
- High costs for hardware, software, and licensing.
- Staff resistance due to unfamiliarity with new digital tools.
- Data integration issues with the current EHR system.
- Privacy concerns with AI-driven diagnostics.
Solutions:
- Gradual implementation with pilot testing.
- Comprehensive staff training to build confidence.
- Phased integration to minimize workflow disruption.
- Grant funding or partnerships to offset initial costs (Nosrati & Nosrati, 2023).
By carefully planning the implementation process, The Longevity Center can adopt new technologies without overwhelming staff or compromising patient care.
Conclusion
Improving diagnostic efficiency at The Longevity Center depends on a multifaceted approach that includes leadership from BSN-prepared nurses, structured interprofessional collaboration, and integration of advanced technologies. Government and regulatory guidance underscore the importance of timely and accurate diagnosis, while literature highlights promising tools such as CDSS, AI diagnostics, and RPM. Although challenges like cost and data integration exist, phased implementation, staff training, and external funding opportunities can facilitate smooth adoption. Ultimately, these strategies will reduce delays, enhance patient safety, and improve outcomes in regenerative healthcare.
References
Agency for Healthcare Research and Quality. (2024, November). Clinical decision support. https://www.ahrq.gov/cpi/about/otherwebsites/clinical-decision-support/index.html
American Nurses Association. (2025). Code of ethics for nurses. https://codeofethics.ana.org/home
NURS FPX 4905 Assessment 3 Technology and Professional Standards
Kantaros, A., & Ganetsos, T. (2023). From static to dynamic: Smart materials pioneering additive manufacturing in regenerative medicine. International Journal of Molecular Sciences, 24(21). https://doi.org/10.3390/ijms242115748
Montalvo, I. (2020). The National Database of Nursing Quality Indicators® (NDNQI®). OJIN: The Online Journal of Issues in Nursing, 12(3). https://ojin.nursingworld.org/MainMenuCategories/ANAMarketplace/ANAPeriodicals/OJIN/TableofContents/Volume122007/No3Sept07/NursingQualityIndicators.html
Nosrati, H., & Nosrati, M. (2023). Artificial intelligence in regenerative medicine: Applications and implications. Biomimetics, 8(5). https://doi.org/10.3390/biomimetics8050442
Petrosyan, A., Martins, P. N., Solez, K., Uygun, B. E., Gorantla, V. S., & Orlando, G. (2022). Regenerative medicine applications: An overview of clinical trials. Frontiers in Bioengineering and Biotechnology, 10. https://doi.org/10.3389/fbioe.2022.942750
The Joint Commission. (2021). Quick safety issue 52. https://www.jointcommission.org/resources/news-and-multimedia/newsletters/newsletters/quick-safety/quick-safety-issue-52-advancing-safety-with-closed-loop-communication-of-test-results/
The Longevity Center. (2024, September 11). The Longevity Center. https://www.thelcfl.com/
NURS FPX 4905 Assessment 3 Technology and Professional Standards
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