NURS FPX 4905 Assessment 3

NURS FPX 4905 Assessment 3

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 essential in promoting quality, safety, and efficiency within healthcare. In regenerative medicine, where diagnostic complexity is frequent, the use of advanced technologies combined with adherence to professional nursing standards is crucial for timely and accurate patient care (Kantaros & Ganetsos, 2023). This paper examines the role of the BSN-prepared nurse at The Longevity Center in addressing diagnostic delays through process improvement, technology integration, and interprofessional collaboration. Additionally, it explores current technological applications, evidence-based recommendations from regulatory agencies, and strategies for implementing innovative diagnostic tools.

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

At The Longevity Center, BSN-prepared nurses are integral to ensuring diagnostic accuracy and timely patient care. The challenge of delayed or inconsistent diagnoses requires nurses to employ evidence-based practices, effective communication, and patient advocacy. Key responsibilities include ensuring comprehensive clinical intake, accurate interpretation of blood panels, and careful review of patient histories. Nurses also identify gaps in diagnostic processes and propose improvements that align with the American Nurses Association (ANA) Code of Ethics, which emphasizes accountability and the delivery of safe, effective care (American Nurses Association, 2025).

A crucial aspect of process improvement involves recognizing when patients require additional evaluations or advanced diagnostic tools to expedite treatment. For example, delays in interpreting Longevity blood panels or inconsistent charting can result in missed therapeutic opportunities. By standardizing patient history collection and providing insights during case reviews, nurses contribute significantly to process optimization. Additionally, interprofessional communication remains a core professional standard, as nurses relay critical clinical concerns to providers to ensure continuity and quality of care, even when they do not hold decision-making authority.

Interprofessional Collaboration in Regenerative Healthcare

Effective interprofessional collaboration is vital for improving diagnostic efficiency and patient outcomes in regenerative medicine. At The Longevity Center, collaboration involves nurses, nurse practitioners, physicians, and administrative staff. During the practicum, active participation in reviewing patient charts and contributing to case discussions—such as interpreting Longevity blood panels or assessing readiness for PRP or stem cell treatments—enhances holistic understanding of patient conditions.

To strengthen interprofessional collaboration, structured communication strategies, including interdisciplinary case huddles and shared digital platforms for care coordination, can be implemented. Real-time updates during patient intake and follow-up help minimize care gaps, prevent delays in lab interpretation, and reduce miscommunication regarding treatment protocols (Kantaros & Ganetsos, 2023). These collaborative practices promote accurate diagnoses, timely initiation of regenerative therapies, improved patient satisfaction, and safer, more effective care.

Government Agency Recommendations

Several regulatory agencies provide guidance to address diagnostic delays at The Longevity Center:

AgencyRecommendationImplication for Practice
The Joint CommissionEmphasizes accurate, timely diagnoses and standardized processes for patient data collectionEnsures uniform intake procedures, improving diagnostic clarity and reducing errors (The Joint Commission, 2021)
Agency for Healthcare Research and Quality (AHRQ)Advocates for quality-focused care, evidence-based protocols, and clinical decision support toolsEncourages adoption of technology to minimize care variability and optimize outcomes (AHRQ, 2024)
National Database of Nursing Quality Indicators (NDNQI)Highlights nursing roles in identifying delays, ensuring timely assessments, and proper documentationSupports process improvements to maintain diagnostic accuracy and interprofessional coordination (Montalvo, 2020)

These recommendations collectively assume that standardized procedures, early intervention, and coordinated teamwork are essential for enhancing patient safety and care quality.

Current Technology Utilized

The Longevity Center employs various technologies to support diagnostic procedures:

  • Ultrasound Imaging: Guides regenerative medicine procedures like PRP and stem cell injections, enhancing precision and safety.
  • Electronic Health Records (EHR): Stores patient intake information, diagnostic results, lab findings, and progress notes.
  • Longevity Blood Panels: Comprehensive tests that evaluate inflammation, hormone levels, micronutrient deficiencies, and metabolic status.

Despite these resources, challenges exist. The EHR is not integrated with external diagnostic systems, requiring manual data entry and verification, which increases the risk of errors and delays. Additionally, no centralized clinical decision support tools are available to flag abnormal results or suggest evidence-based treatment pathways (Yamada et al., 2021). Improving interoperability and incorporating decision-support functions can enhance early diagnosis, streamline care, and improve clinical outcomes.

Literature-Based Technology Recommendations for Improving Diagnostic Delays

TechnologyAdvantagesChallenges
Clinical Decision Support System (CDSS)Real-time alerts, automatic abnormal result flagging, evidence-based treatment recommendationsHigh initial cost, customization needs, potential alert fatigue (Yamada et al., 2021)
AI-Assisted DiagnosticsRapid analysis of large datasets, identification of complex patterns, enhanced accuracyHigh implementation cost, data privacy concerns, staff adoption barriers (Nosrati & Nosrati, 2023)
Remote Patient Monitoring (RPM)Continuous health tracking, early detection of worsening conditions, personalized interventionsPatient adherence issues, technical problems, integration with EHR challenges (Petrosyan et al., 2022)

Successful implementation requires training, sufficient funding, and integration with current workflows to maximize efficiency and reduce diagnostic delays.

Potential Implementation Issues and Solutions for New Diagnostic Technologies

Implementing CDSS, AI-assisted tools, and RPM devices at The Longevity Center may encounter several obstacles:

  1. Cost: Advanced technologies often require substantial financial investment in software, hardware, and licensing.
  2. Staff Resistance: Team members may hesitate due to unfamiliarity with digital tools or concerns about increased workload.
  3. Data Integration: Existing EHR systems may be incompatible with new technologies, necessitating upgrades or third-party solutions.
  4. Privacy and Compliance: AI and RPM rely on large datasets, requiring careful adherence to privacy regulations.

Solutions: Gradual implementation, pilot testing, phased integration, targeted staff education, and securing funding through grants or partnerships can mitigate these challenges (Nosrati & Nosrati, 2023; Petrosyan et al., 2022).

Conclusion

Enhancing diagnostic efficiency at The Longevity Center requires the leadership of BSN-prepared nurses to standardize intake processes and uphold professional standards. Strengthened interprofessional collaboration ensures timely data sharing and coordinated treatment planning. The integration of CDSS, AI-assisted diagnostic tools, and remote monitoring can reduce delays and improve outcomes, provided implementation is carefully planned with adequate training, funding, and phased adoption strategies. Through these efforts, patient care can be safer, more efficient, and aligned with evidence-based standards.

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

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®). 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

NURS FPX 4905 Assessment 3 Technology and Professional Standards

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, 10https://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