NURS FPX 4905 Assessment 3 Technology and Professional Standards

Name

Capella university

NURS-FPX4905 Capstone Project for Nursing

Prof. Name

Date

Technology and Professional Standards

Technology and professional standards are central to improving healthcare quality, safety, and efficiency. In regenerative medicine—where diagnostic procedures are complex—effective use of modern technologies combined with adherence to nursing standards ensures timely, accurate, and patient-centered care (Kantaros & Ganetsos, 2023). This discussion highlights the contributions of BSN-prepared nurses in addressing diagnostic delays at The Longevity Center. It explores how process improvement, professional standards, and interprofessional collaboration can mitigate delays. Additionally, it reviews the role of government guidelines, current technologies, literature-based solutions, and the challenges of implementing new diagnostic tools in clinical practice.

Role of the BSN-Prepared Nurse in Process Improvement and Professional Standards

BSN-prepared nurses at The Longevity Center are key players in ensuring diagnostic precision and timely care delivery. Their role emphasizes compliance with professional standards while actively engaging in process improvement initiatives.

Nurses contribute by:

• Conducting comprehensive patient intake assessments.
• Accurately interpreting blood panels.
• Thoroughly evaluating patient histories.
• Identifying diagnostic process gaps and suggesting ethical, evidence-based improvements.

These actions align with the American Nurses Association (ANA) Code of Ethics, which emphasizes accountability, patient advocacy, and the promotion of safe, effective care (American Nurses Association, 2025).

Example of Nursing Interventions

Failure to promptly interpret Longevity blood panels or inconsistent documentation may result in missed treatment opportunities. To address this, BSN-prepared nurses help standardize patient history collection, monitor diagnostic workflows, and communicate clinical concerns directly to providers. Even though they may not always have decision-making authority, their involvement strengthens continuity of care and fosters improved patient outcomes.

Interprofessional Collaboration in Regenerative Healthcare

At The Longevity Center, interprofessional collaboration significantly enhances diagnostic accuracy and treatment outcomes. This collaboration involves nurses, nurse practitioners, physicians, and administrative personnel.

During the practicum experience, collaboration included reviewing patient charts, discussing diagnostic findings, and evaluating patient readiness for regenerative procedures such as platelet-rich plasma (PRP) or stem cell injections. Nurses play an integral role in these discussions by providing input on clinical observations and patient intake data.

Strengthening Collaboration

Future improvements include:

• Interdisciplinary case huddles for real-time decision-making.
• Shared digital platforms for seamless care coordination.
• Consistent follow-up protocols to reduce diagnostic errors and communication gaps.

Structured communication reduces delays, enhances diagnostic precision, and increases patient satisfaction. Research also shows that interprofessional integration supports safer practices by preventing overlooked data and fragmented communication (Kantaros & Ganetsos, 2023).

Government Agency Recommendations

Government and regulatory bodies provide essential guidance on addressing diagnostic delays.

Agency	Recommendations	Relevance to The Longevity Center
The Joint Commission (2021)	Promote accurate and timely diagnosis, effective caregiver communication, and standardized intake processes.	Helps address lack of uniform patient intake and diagnostic clarity.
Agency for Healthcare Research and Quality (2024)	Advocate clinical decision support tools, evidence-based protocols, and data-driven care.	Encourages adoption of decision-support technology to reduce diagnostic variability.
National Database of Nursing Quality Indicators (Montalvo, 2020)	Stress timely assessments, accurate documentation, and collaboration.	Reinforces nursing responsibility in preventing diagnostic delays and ensuring quality outcomes.

Collectively, these agencies emphasize early intervention, standardized workflows, and collaborative care as vital strategies for reducing errors and improving patient outcomes.

Current Technology Utilized

The Longevity Center currently uses three primary technologies for diagnostics and patient care:

Technology	Application	Limitations
Ultrasound Imaging	Guides regenerative procedures such as PRP and stem cell injections with precision.	Limited integration with diagnostic records.
Electronic Health Records (EHRs)	Store patient histories, lab results, and progress notes.	Lack of interoperability; requires manual data entry and verification.
Longevity Blood Panel	Assesses inflammation, hormones, micronutrient levels, and metabolic health.	No automated alerts for abnormal results; delays in analysis.

While these tools provide baseline support, their lack of integration and absence of decision-support features contribute to delays and missed opportunities for early intervention (Yamada et al., 2021).

Literature-Based Technology Recommendations for Improving Diagnostic Delays

Current literature highlights innovative tools to enhance diagnostic efficiency in regenerative medicine.

Technology	Pros	Cons
Clinical Decision Support Systems (CDSS)	Real-time alerts, automatic abnormal result flagging, evidence-based recommendations.	High costs, customization needs, alert fatigue.
AI-Assisted Diagnostics	Rapid analysis of large datasets, improved pattern recognition, higher accuracy in complex cases.	Costly, privacy concerns, limited staff familiarity.
Remote Patient Monitoring (RPM)	Tracks ongoing health data, detects early warning signs, enables personalized care adjustments.	Patient adherence issues, technical glitches, EHR integration challenges.

Studies confirm that while these tools improve accuracy and speed, their effectiveness depends on adequate training, funding, and careful integration into workflows (Nosrati & Nosrati, 2023; Petrosyan et al., 2022).

Potential Implementation Issues and Solutions for New Diagnostic Technologies

Introducing CDSS, AI diagnostics, and RPM devices at The Longevity Center may face challenges such as cost, staff resistance, and system compatibility.

Issue	Challenge	Solution
Financial Cost	High investment for software, licensing, and hardware.	Seek grants, phased implementation, or partnerships with tech vendors.
Staff Resistance	Unfamiliarity with tools, fear of workload increase.	Conduct structured training, provide technical support, and encourage staff involvement in pilot testing.
Data Integration	EHR incompatibility with new systems.	Upgrade systems or adopt third-party integration solutions.
Privacy & Compliance	Concerns with AI and large data sets.	Ensure HIPAA compliance, adopt secure data management practices.

Gradual implementation, pilot testing, and phased rollouts will help overcome barriers while maintaining regulatory compliance and staff confidence (Petrosyan et al., 2022).

Conclusion

BSN-prepared nurses are vital in reducing diagnostic delays by applying professional standards, advocating for process improvement, and ensuring accurate data interpretation. At The Longevity Center, interprofessional collaboration fosters holistic care and timely treatment decisions. While current technologies provide a foundation, their lack of integration and decision-support capacity limits efficiency. Adoption of CDSS, AI, and RPM tools—supported by structured training, financial planning, and regulatory compliance—will advance diagnostic precision and patient outcomes in regenerative medicine.

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: Advancing safety with closed-loop communication of test results. 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/

NURS FPX 4905 Assessment 3 Technology and Professional Standards

The Longevity Center. (2024, September 11). The Longevity Center. https://www.thelcfl.com/

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