NURS FPX 6410 Assessment 1 Presentation to Informatics Staff

NURS FPX 6410 Assessment 1 Presentation to Informatics Staff

Name

Capella university

NURS-FPX 6410 Fundamentals of Nursing Informatics

Prof. Name

Date

Presentation to Informatics Staff

Welcome to this important discussion on how the American Nurses Association (ANA) standards intersect with nursing informatics to elevate the quality of patient care. Today, our attendees include nursing professionals, informatics specialists, administrators, and other healthcare stakeholders. Your role is vital in ensuring that these standards are effectively implemented, interpreted through informatics, and supported by reliable data. Together, we can foster a practice environment that prioritizes safety, efficiency, and evidence-based decision-making.

Presentation Roadmap

This presentation is designed to:

  1. Describe the core role of ANA standards and the significance of adhering to them.
  2. Explore the field of nursing informatics and its relevance to quality outcomes.
  3. Differentiate between validated and invalidated data and show how the former reveals practice gaps.
  4. Examine moral and regulatory considerations in quality-focused nursing.
  5. Understand the contribution of theoretical frameworks to informatics.
  6. Provide a real-world example of EHR implementation reflecting ANA standards.

Each section will build upon the last, leading us toward a comprehensive understanding of the interplay between standards, data, ethics, and informatics.

ANA Standards and Nursing Practice

The ANA standards form the structural foundation of nursing care, guiding professionals in delivering consistent, ethical, and quality-centered service. These standards include directives for clinical practice, communication, collaboration, leadership, and ethical obligations (American Nurses Association, n.d.). For instance, Standard 8 supports culturally congruent care, while Standard 9 focuses on effective communication—both integral to modern, inclusive, and responsive patient care. Adherence to these standards promotes a unified approach across diverse care settings, fostering both accountability and patient trust.

Why It Is Important to Follow These Standards

Adopting ANA standards is crucial because they are rooted in scientific evidence and best practices. These standards reduce variability in care delivery, thus minimizing risks, enhancing safety, and promoting better outcomes. Importantly, they encourage ongoing professional development to ensure practitioners stay aligned with emerging healthcare trends and technologies (ANA, n.d.). Adherence also reflects a commitment to ethical and legal responsibilities, ultimately improving the quality of care, boosting patient satisfaction, and enhancing operational efficiency.

Nursing Informatics – An Emerging Field

Nursing informatics is a bridge between clinical expertise and modern technology. It integrates data science, nursing knowledge, and informatics systems to support optimal patient outcomes. By using electronic health records (EHRs), decision-support tools, and analytics, nurses can streamline workflows, reduce documentation errors, and support evidence-based practices (Park & Park, 2022). Informatics professionals play a pivotal role in adapting nursing practice to an increasingly digital healthcare environment, ensuring that data is used efficiently and ethically to support patient well-being (ANA, 2023).

Validated vs. Invalidated Data

Table 1: Comparison of Validated and Invalidated Data in Nursing Practice

Aspect Validated Data Invalidated Data
Accuracy High; verified through standard tools Low; may involve subjective methods
Examples Lab results, vital signs from calibrated equipment Anecdotal notes, non-standardized surveys
Usefulness Supports clinical decision-making and QI May mislead or obscure actual trends
Reliability Consistent and replicable Inconsistent and potentially biased

Validated data plays a significant role in improving healthcare outcomes. It ensures decisions are based on reliable, measurable inputs, reducing the chance of errors and promoting high-quality care (Kakarash, 2023).

The Usefulness of Validated Data

Validated data provides a foundation for identifying practice gaps and improving performance. For instance, tools like SERVQUAL help quantify patient satisfaction in critical care settings, enabling targeted quality improvements (Lu et al., 2020). Validated readmission rates can expose issues in post-discharge follow-up, prompting institutions to revisit protocols. In sum, validated data is indispensable for clinical improvement, accountability, and informed decision-making.

Ethics and law are pillars of professional nursing conduct. Ethical principles—such as autonomy, beneficence, and justice—guide daily decisions and ensure that patient dignity and rights are upheld (Varkey, 2021). The ANA’s Center for Ethics and Human Rights offers frameworks to address moral challenges and uphold professional integrity (American Nurses Association, n.d.-b.).

Legal obligations are equally vital. Statutory frameworks such as HIPAA ensure that sensitive patient data remains confidential, and adherence to laws prevents malpractice while fostering a culture of trust and security (Sharma et al., 2023). Together, ethics and legality provide the moral compass and procedural guardrails for safe, effective care.

Theoretical Frameworks/Models in Nursing Informatics

The application of conceptual models enhances the integration of technology in healthcare:

Table 2: Theoretical Frameworks in Nursing Informatics

Model Purpose
Technology Acceptance Model (TAM) Assesses user perception of usefulness and ease of technology adoption
DIKW Model Guides the transformation from raw data to actionable knowledge and wisdom

The DIKW model, in particular, illustrates how data is filtered and interpreted to support decision-making. It aids nurses in understanding patient patterns and applying this knowledge in practice (Cato et al., 2020).

Illustration of ANA Standards Using an Example

ANA Standards and EHR Implementation

A hospital’s EHR system rollout serves as a practical example of ANA standards in action. Standard 8 ensures that the system includes tools for cultural competence, such as language options and ethnic data fields. Standard 9 supports communication among interprofessional teams through shared access and timely updates (American Nurses Association, n.d.). These standards guide the EHR design, promoting inclusivity and seamless care coordination.

Applying the DIKW Model

Using the DIKW model, raw data from EHRs (e.g., patient vitals) is transformed into structured information, then interpreted to generate knowledge (such as risk trends). That knowledge supports wise, clinical decisions, ensuring that care is tailored to patient needs. This model validates the EHR’s role in converting data into meaningful outcomes (Cato et al., 2020).

Regulatory Standards

The Centers for Medicare & Medicaid Services (CMS) govern the meaningful use of EHRs, encouraging hospitals to improve efficiency and transparency through their technology systems. CMS compliance involves the adoption of certified systems and data reporting standards (Alammari et al., 2021). This ensures technology implementation meets national benchmarks for care quality and patient safety.

Ethical usage of EHRs involves safeguarding patient privacy and obtaining informed consent for data sharing. Legal adherence to HIPAA regulations ensures patient records remain confidential and are only accessed by authorized personnel (Edemekong et al., 2024). Training staff in these protocols is vital to ensure both ethical and legal integrity in using EHR systems.

Use of Validated Data to Recognize Practice Lapses

Validated EHR data helps identify inefficiencies in clinical processes. For example, if delays in medication administration are consistently recorded, this signals workflow issues. These patterns inform QI teams, who can implement targeted interventions such as protocol revisions or focused training, thereby closing gaps and enhancing care quality.

Conclusion

The integration of ANA standards, nursing informatics, and validated data represents a transformative approach to nursing care. By following established ethical, legal, and theoretical frameworks, healthcare organizations can ensure high standards of practice. Nursing informatics empowers professionals to leverage data effectively, while validated data highlights areas for improvement. As a result, care becomes safer, more responsive, and aligned with national quality benchmarks. Let us move forward in our shared mission of delivering exceptional, data-informed nursing care.

References

Alammari, M. A., Househ, M., & Alamri, S. (2021). Impact of meaningful use on electronic health record implementation and utilization. Journal of Infection and Public Health, 14(9), 1309–1313. https://doi.org/10.1016/j.jiph.2021.06.005

Alfuqaha, O. A., Hammad, S., Alshraideh, H., & Hammad, H. (2022). The effect of the Technology Acceptance Model (TAM) on the nurses’ use of EHR systems. Computers, Informatics, Nursing, 40(2), 91–97. https://doi.org/10.1097/CIN.0000000000000799

NURS FPX 6410 Assessment 1 Presentation to Informatics Staff

American Nurses Association. (n.d.). Nursing: Scope and Standards of Practice (3rd ed.)https://www.nursingworld.org/practice-policy/scope-of-practice/

American Nurses Association. (n.d.-b). Center for Ethics and Human Rightshttps://www.nursingworld.org/practice-policy/nursing-excellence/ethics/

American Nurses Association. (2023). Nursing Informatics: Position Statementhttps://www.nursingworld.org/practice-policy/nursing-informatics/

Cato, K. D., Gurr, E., & Marek, K. D. (2020). The DIKW model in nursing informatics education. Computers, Informatics, Nursing, 38(1), 8–12. https://doi.org/10.1097/CIN.0000000000000594

Edemekong, P. F., Annamaraju, P., & Haydel, M. J. (2024). Health Insurance Portability and Accountability Act (HIPAA). StatPearls. https://www.ncbi.nlm.nih.gov/books/NBK500019/

Kakarash, A. I. (2023). The significance of validated clinical data in healthcare quality improvement. International Journal of Health Sciences, 17(3), 102–109.

Lu, H., Zhao, Y., & While, A. (2020). SERVQUAL application in ICU settings for quality enhancement. Journal of Nursing Management, 28(3), 456–463. https://doi.org/10.1111/jonm.12954

Park, S. Y., & Park, S. H. (2022). Current trends and future challenges in nursing informatics. Healthcare Informatics Research, 28(1), 3–11. https://doi.org/10.4258/hir.2022.28.1.3

Sharma, A., Shehadeh, J., & Frumkin, H. (2023). Legal and regulatory issues in clinical practice. Journal of Law, Medicine & Ethics, 51(2), 243–251. https://doi.org/10.1017/jme.2023.11

NURS FPX 6410 Assessment 1 Presentation to Informatics Staff

Varkey, B. (2021). Principles of clinical ethics and their application to practice. Medical Principles and Practice, 30(1), 17–28. https://doi.org/10.1159/000509119