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 pivotal in enhancing quality, safety, and efficiency in healthcare delivery. In regenerative medicine, where diagnostic processes can be complex and multifaceted, incorporating advanced technologies and adhering to professional nursing standards is critical for delivering timely and accurate care (Kantaros & Ganetsos, 2023). This paper discusses the role of BSN-prepared nurses in mitigating diagnostic delays at The Longevity Center through process improvement, interprofessional collaboration, and evidence-based interventions. It explores the current technological landscape, regulatory guidance, and potential strategies for integrating new diagnostic tools.

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

At The Longevity Center, BSN-prepared nurses are essential in maintaining diagnostic accuracy and ensuring timely interventions. These nurses utilize evidence-based practices to identify gaps in patient evaluation, advocate for patient safety, and enhance care coordination. Comprehensive clinical intake, precise interpretation of lab results, and meticulous patient history assessments are critical responsibilities. Nurses also recommend process improvements aligned with the American Nurses Association (ANA) Code of Ethics, which emphasizes accountability and high-quality, safe care (American Nurses Association, 2025).

The BSN-prepared nurse plays a proactive role in identifying situations requiring additional evaluation or new diagnostic tools to expedite treatment. For instance, delays in interpreting Longevity blood panels or inconsistent charting may result in missed therapeutic opportunities. During my practicum, I contributed to standardizing patient history collection and provided observations for case reviews. Interprofessional communication also forms a key component of professional practice, ensuring continuity and quality of care through timely reporting of clinical concerns. While I do not hold decision-making authority, my contributions support evidence-based improvements and collaborative patient management.

Interprofessional Collaboration in Regenerative Healthcare

Interprofessional collaboration is central to improving diagnostic efficiency and patient outcomes in regenerative medicine. At The Longevity Center, collaboration occurs between nurses, nurse practitioners, physicians, and administrative staff. My participation in reviewing patient charts alongside providers and contributing to case discussions, particularly in interpreting Longevity blood panels or assessing patient readiness for treatments such as PRP or stem cell therapy, demonstrates how collective expertise supports better clinical decisions.

Enhanced collaboration can be achieved through structured communication strategies, including interdisciplinary case huddles and shared digital platforms for care coordination. Real-time updates between providers and nurses during intake and follow-up reduce care gaps and ensure timely intervention (Kantaros & Ganetsos, 2023). The benefits include improved diagnostic accuracy, faster initiation of therapies, enhanced patient satisfaction, and safer, more effective care by minimizing miscommunication or overlooked clinical data.

Government Agency Recommendations

Several regulatory bodies provide guidance relevant to diagnostic delays at The Longevity Center.

Agency	Recommendations	Implications for Practice
The Joint Commission (2021)	Emphasizes accurate, timely diagnosis and effective communication; standardized patient data collection.	Implement uniform intake procedures and clear documentation protocols to reduce errors and improve outcomes.
Agency for Healthcare Research and Quality (2024)	Advocates data-driven decision-making, clinical decision support, and evidence-based protocols.	Adopt standardized, tech-enabled workflows to enhance efficiency and care consistency.
National Database of Nursing Quality Indicators (NDNQI) (Montalvo, 2020)	Highlights timely assessments, proper documentation, and collaborative care.	Strengthen nursing roles in monitoring delays, ensuring diagnostic precision, and promoting teamwork.

These agencies collectively underscore the importance of early intervention, accurate diagnosis, and coordinated teamwork to reduce adverse outcomes and elevate healthcare quality.

Current Technology Utilized

The Longevity Center employs several key technologies to support diagnostic procedures, including:

Technology	Purpose	Limitations
Ultrasound Imaging	Guides PRP and stem cell injections with precision.	Limited by operator skill; does not provide diagnostic integration with other systems.
Electronic Health Record (EHR)	Stores patient intake, lab results, and progress notes.	Lacks integration with external labs, requires manual data entry, risk of transcription errors.
Longevity Blood Panel	Comprehensive evaluation of inflammation, hormones, micronutrients, and metabolism.	No automated decision support; delays occur in result interpretation.

Although these technologies facilitate a minimum standard of care, interoperability gaps and absence of clinical decision support tools limit diagnostic efficiency (Yamada et al., 2021). Optimizing technology integration would improve early diagnosis, reduce delays between testing and treatment, and enhance patient outcomes.

Literature-Based Technology Recommendations for Improving Diagnostic Delays

Research highlights several technologies to address delays:

Clinical Decision Support Systems (CDSS): Real-time alerts, automatic abnormal result flagging, and evidence-based recommendations within EHR improve diagnostic speed and accuracy. Challenges include customization needs, alert fatigue, and implementation costs (Yamada et al., 2021).
Artificial Intelligence (AI)-Assisted Diagnostics: AI analyzes large datasets and identifies subtle patterns to support complex diagnoses. Limitations include high costs, data privacy concerns, and acceptance barriers among staff (Nosrati & Nosrati, 2023).
Remote Patient Monitoring (RPM): Devices track patient health metrics for early detection and personalized adjustments. Drawbacks include patient adherence, technical issues, and integration with EHR (Petrosyan et al., 2022).

Effective implementation of these technologies requires staff training, financial investment, and workflow integration to maximize clinical benefits.

Potential Implementation Issues and Solutions for New Diagnostic Technologies

Implementing CDSS, AI tools, and RPM systems at The Longevity Center may encounter several challenges:

Challenge	Potential Solution
High Cost	Seek grants, phased adoption, technology partnerships to reduce financial burden.
Staff Resistance	Provide training, pilot programs, and gradual integration to increase comfort and acceptance.
Data Integration	Upgrade EHR or use compatible middleware solutions for smooth interoperability.
Privacy & Compliance	Implement robust data security measures, adhere to HIPAA regulations.

Gradual deployment, pilot testing, and staff education are critical strategies to overcome these challenges while maintaining compliance and quality standards (Nosrati & Nosrati, 2023; Petrosyan et al., 2022).

Conclusion

Improving diagnostic efficiency at The Longevity Center requires BSN-prepared nurses to lead standardized intake processes and uphold professional standards. Strengthened interprofessional collaboration ensures timely data sharing and coordinated care planning. Integration of CDSS, AI-assisted tools, and RPM technologies can reduce diagnostic delays but necessitates careful planning, training, and budget allocation. A phased implementation strategy with targeted education and pilot testing will support successful adoption and enhance patient outcomes.

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