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

Advancements in technology and adherence to professional standards are cornerstones of improving quality, safety, and efficiency in healthcare delivery. In the specialized field of regenerative medicine—where complex diagnostics and innovative treatments are common—the integration of modern tools alongside nursing standards is essential to ensure timely and accurate care (Kantaros & Ganetsos, 2023).

This paper explores the role of BSN-prepared nurses in addressing diagnostic inefficiencies at The Longevity Center. It emphasizes process improvement, interprofessional collaboration, and evidence-based recommendations from healthcare agencies. Furthermore, it discusses the current technologies in place, literature-supported innovations, potential challenges, and solutions for implementing new diagnostic strategies.

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

The BSN-prepared nurse serves as a vital link in ensuring diagnostic accuracy and timeliness at The Longevity Center. Their responsibilities extend beyond clinical practice to include process improvement and adherence to professional nursing standards.

What is the role of the BSN-prepared nurse in addressing diagnostic delays?

The nurse plays a proactive role in:

Conducting comprehensive patient assessments during intake.
Ensuring accurate interpretation of blood panels and diagnostic results.
Identifying gaps in current diagnostic processes and suggesting improvements.
Advocating for patients by aligning with the American Nurses Association (ANA) Code of Ethics (American Nurses Association, 2025).

Failure to standardize patient history collection or interpret diagnostic data promptly can result in missed treatment opportunities. For example, delays in interpreting Longevity blood panels may postpone therapies such as regenerative injections. By maintaining accountability and promoting safe practice, BSN nurses contribute directly to quality care outcomes.

Table 1

Role of BSN-Prepared Nurses in Diagnostic Process Improvement

Function	Description	Impact on Patient Care
Comprehensive Intake	Collect detailed patient history and symptoms	Prevents oversight of key diagnostic information
Blood Panel Review	Ensure correct interpretation of Longevity blood panels	Promotes accurate, timely treatment decisions
Gap Identification	Detect inefficiencies in diagnostic workflows	Reduces delays and missed therapeutic opportunities
Advocacy	Align care with ANA Code of Ethics	Upholds professional accountability and patient safety
Communication	Share clinical concerns with providers	Improves continuity and collaboration in care

Interprofessional Collaboration in Regenerative Healthcare

Collaboration among healthcare professionals is central to diagnostic accuracy and patient-centered outcomes in regenerative medicine. At The Longevity Center, teamwork involves nurses, nurse practitioners, physicians, and administrative staff.

How does interprofessional collaboration improve diagnostics?

During the practicum, collaboration included:

Reviewing patient charts jointly with providers.
Participating in case discussions to interpret lab results.
Evaluating readiness for advanced treatments like stem cell therapy or PRP.

Future strategies include structured interdisciplinary case huddles and shared digital communication platforms for seamless care coordination. Real-time updates during intake and follow-up will reduce gaps in diagnostic interpretation, supporting faster, safer care delivery (Kantaros & Ganetsos, 2023).

Government Agency Recommendations

Government and regulatory bodies provide critical guidance for minimizing diagnostic delays.

Agency	Recommendations	Application at The Longevity Center
The Joint Commission	Standardized processes and effective communication (National Patient Safety Goals)	Uniform intake protocols and timely sharing of diagnostic results
Agency for Healthcare Research and Quality (AHRQ)	Use of decision-support tools and evidence-based protocols	Adoption of digital tools to reduce variability in care
National Database of Nursing Quality Indicators (NDNQI)	Nursing indicators for timely assessment and documentation	Track diagnostic delays, reinforce nurse-led improvements

These recommendations rest on the principle that standardization, data-driven decision-making, and communication reduce medical errors and improve diagnostic outcomes (Montalvo, 2020; The Joint Commission, 2021).

Current Technology Utilized

Currently, The Longevity Center uses three main technologies:

Ultrasound Imaging – Guides regenerative procedures like PRP or stem cell injections with precision.
Electronic Health Records (EHRs) – Store patient history, diagnostics, and progress notes.
Longevity Blood Panels – Offer comprehensive metabolic, hormonal, and inflammatory analysis.

Challenges

Lack of EHR interoperability with external systems → delays and transcription errors.
No centralized clinical decision support system → missed diagnostic opportunities.
Limited integration → decreased efficiency and fragmented workflows (Yamada et al., 2021).

Literature-Based Technology Recommendations for Improving Diagnostic Delays

Technology	Pros	Cons
Clinical Decision Support System (CDSS)	Real-time alerts, automatic flagging of abnormal results, evidence-based guidance	High costs, customization needs, risk of alert fatigue
AI-Assisted Diagnostics	Rapid analysis of large data sets, pattern recognition beyond human capacity	Costly, privacy risks, limited acceptance among staff
Remote Patient Monitoring (RPM)	Early detection of symptom changes, personalized interventions	Patient adherence issues, integration problems with EHR, technical errors

These technologies, when integrated effectively, enhance speed, reduce human error, and support evidence-based care (Nosrati & Nosrati, 2023; Petrosyan et al., 2022).

Potential Implementation Issues and Solutions for New Diagnostic Technologies

What challenges might occur during implementation?

Cost: High initial investment in infrastructure and licensing.
Staff Resistance: Unfamiliarity with advanced digital systems.
Integration Barriers: Compatibility issues with current EHR systems.
Privacy Concerns: Compliance with HIPAA and ethical standards when using AI (Petrosyan et al., 2022).

Solutions:

Implement technology in phases to minimize disruption.
Provide staff training and pilot testing to increase familiarity.
Seek grant funding or partnerships to offset costs.
Ensure compliance frameworks are built into new technologies (Nosrati & Nosrati, 2023).

Conclusion

Improving diagnostic efficiency at The Longevity Center requires BSN-prepared nurses to uphold professional standards, streamline patient intake, and identify diagnostic inefficiencies. Strengthened interprofessional collaboration enhances accuracy and timeliness of care. While advanced technologies like CDSS, AI, and RPM promise significant benefits, their success depends on phased implementation, staff readiness, and careful integration into existing systems. Ultimately, a balanced approach combining professional accountability, collaborative care, and technological innovation will drive better outcomes for 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

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