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

Good afternoon, everyone. My name is ________, and as a director of the nursing informatics department, I am here to present an engaging session about the American Nurses Association (ANA) standards and their crucial role in enhancing the quality of care and patient outcomes in nursing practice. The critical part of today’s presentation is to highlight the connections between data/informatics and ANA standards in strengthening these quality patient outcomes. 

Key Stakeholders 

Amongst the audience, we have nurses, who, as frontline healthcare providers, are directly impacted by ANA standards and informatics and are involved in direct patient care. Additionally, we have healthcare administrators who play a pivotal role in implementing ANA standards and overseeing the integration of informatics systems within the organization. Finally, we have IT professionals who are essential for developing and maintaining the informatics systems that support ANA standards. 

Presentation Objectives

The objectives for today’s presentation are as follows:

• Discuss the critical importance of ANA standards in nursing practice and the necessity of adhering to these guidelines.
• Distinguish between reliable and unreliable data and demonstrate how validated data can reveal practice gaps. 
• Acknowledge the impact of ethical and regulatory practices on achieving quality outcomes.
• Appreciate the importance of theoretical models in the field of nursing informatics.
• Demonstrate the application of standards through a concrete example by:

• Implementing a theoretical framework,
• Assessing the influence of regulatory organizations,
• Reviewing ethical and legal considerations,
• Utilizing accurate data to identify gaps in nursing practice.

ANA Standards of Nursing Practice and its Significance 

The American Nurses Association (ANA) is a recognized body that develops standards and scope of practices for nurses working in US-based healthcare facilities to direct their practices, a benchmark for the profession’s ethical, clinical, and professional responsibilities. ANA standards provide a comprehensive framework that supports nurses in managing contemporary healthcare complexities to deliver consistent, high-quality care (ANA, n.d.).

Why Nurses Should Adhere to ANA Standards? 

Most of us must have questioned why it is vital to follow ANA standards. The answer is here. Adherence to ANA standards is crucial as they establish clear expectations for performance, fostering accountability and professional growth. By following these guidelines, nurses can maintain a high level of competence represented through critical thinking abilities (American Nurses Association, n.d).

Moreover, ANA standards create a collaborative healthcare environment, keeping all nurses on the same platform to make informed decisions and work efficiently within interdisciplinary teams. These standards also promote evidence-based practice, encouraging nurses to stay updated with the latest research and best practices (American Nurses Association, 2023). Upholding these standards is necessary for delivering high-quality care, fostering professional development, and contributing to the overall improvement of healthcare systems.

Differences of Reliable (Valid) and Unreliable (Invalid) Data 

Within the pool of data and information available online and in electronic health databases, it is vital to identify reliable data that can be used for clinical decision-making. The reliable or valid data is obtained through a process that filters erroneous information and passes a quality assessment where several components are checked, such as data accuracy, completeness, consistency, and timeliness (Chen et al., 2020).

Examples include validated clinical trial outcomes, peer-reviewed studies, and data from electronic health records (EHRs) with stringent data governance protocols. Conversely, unreliable or invalid data is inconsistent, inaccurate, and potentially misleading. It often arises from unverified sources, anecdotal evidence, biased samples, or flawed data collection methods. Examples include information from unregulated online sources, poorly designed studies, or incomplete health records. 

How Validated Data Can Reveal Practice Gaps? 

It is crucial in the healthcare industry to underscore discrepancies between current practices and evidence-based standards. Valid data can be used to provide accurate and precise insights into practice gaps. By using reliable information, healthcare providers and patients can identify specific opportunities in current practices that can be effectively improved for quality services and enhanced patient outcomes (Batko & Ślęzak, 2022). This approach ensures that interventions are data-driven and targeted, leading to enhanced patient safety and quality of care. Therefore, it is vital to leverage validated data to address and rectify practice gaps in healthcare settings systematically.

Moral and Regulatory Practices

Nursing practices grounded in moral principles and legislature are fundamental in augmenting quality outcomes derived from following ANA standards while leveraging nursing informatics. Ethical practices ensure that nurses prioritize patient well-being, sovereignty, beneficence, and justice (Ernstmeyer & Christman, 2022) to create a trustworthy and respectful patient-caregiver relationship. Adhering to ethical guidelines, such as obtaining informed consent and maintaining patient confidentiality, while dealing with patient data aligns with ANA standards and rules associated with nursing informatics to promote patient-centered care, resulting in quality patient outcomes. 

Simultaneously, regulatory frameworks and laws provide a foundation for nursing practices, where nurses operate within clearly defined rules and regulations. Compliance with legal obligations, such as licensure requirements and scope of practice, aligns with guidelines established by ANA, ensuring nursing practices are safe, effective, and accountable (American Nurses Association, n.d.). By adhering to these legal practices, nurses can avoid malpractice, reduce errors, and maintain high professional standards. Moreover, ethical and legal adherence reinforces the importance of evidence-based practice, a core component of ANA standards. Finally, through these guidelines, nurses are encouraged to provide care that respects patient rights and considers their needs and preferences (ANA, 2023). This approach ensures that care is both scientifically sound and ethically justified.

Theoretical Models in Nursing Informatics

Theories and conceptual models in nursing informatics guide the integration of technology into nursing practice to effectively adopt and incorporate data for clinical decisions. In this presentation, we will discuss a theory and a model and examine their values in the field of nursing informatics. 

Unified Theory of Acceptance and Use of Technology (UTAUT) 

The UTAUT model is instrumental in understanding how healthcare professionals accept and use new technologies. It emphasizes four fundamental constructs: performance expectancy, effort expectancy, social influence, and facilitating conditions (Xue et al., 2024). By assessing these factors, UTAUT helps identify barriers and drivers to technology adoption in nursing informatics. For example, utilizing the theory can reveal perceived benefits that influence nurses’ willingness to engage with new EHR systems. This theory aids in designing user-friendly technologies and implementing effective training programs, thereby enhancing technology integration and improving patient care outcomes.

Graves and Corcoran Model

The Graves and Corcoran Model, also known as the DIKW model (Data, Information, Knowledge, Wisdom), provides a framework for managing information in nursing informatics. According to Cato et al. (2020), this model aligns with the scope of practices established by ANA related to nursing informatics. Based on the model, the unprocessed data is transformed into actionable insights to guide patient-related decisions. This model emphasizes the importance of data accuracy and contextual understanding in improving healthcare delivery and outcomes.

Demonstration of ANA Standards in Informatics Example

Finally, in the last part of our presentation, I will demonstrate the implementation of telemonitoring in acute care settings, elaborating on how ANA standards and nursing informatics lead to positive patient outcomes and improved quality of care. 

ANA Standards and Telemonitoring Technologies 

In this relevant informatics implementation, the ANA standards mainly applied are standard 1: assessment, standard 7: ethics, and standard 9: communication (American Nurses Association, n.d.). While assessment is about collecting relevant patient information to evaluate the current health situation, it is a significant component of telemonitoring, where remote monitoring devices are used to assess patients’ vital signs and other essential health data. Similarly, ethics is applied by maintaining patient confidentiality and privacy during remote monitoring adhering to ethical guidelines in handling patient data. Finally, communication requires clear, accurate communication between patients and healthcare providers (American Nurses Association, n.d); thus, it is applicable for nurses using telemonitoring systems to ensure continuity and quality of care. 

Applying a Theoretical Framework

In the context of telehealth nursing, the DIKW model (Data, Information, Knowledge, Wisdom) can be effectively applied. Nurses collect data during virtual consultations, such as patient symptoms, medical history, and vital signs. This data is then organized and interpreted into information, helping to identify trends and patterns in the patient’s health. Knowledge is derived from this information, guiding clinical decisions and recommendations. Finally, wisdom is achieved as nurses apply this knowledge, integrating clinical experience and patient preferences to provide personalized, high-quality care. This structured approach ensures that information systems use evidence-based and patient-centered features, aligning with ANA standards (Cato et al., 2020). 

Standards from Regulatory Bodies

The regulatory body relevant to telehealth nursing is the Centers for Medicare & Medicaid Services (CMS). CMS establishes guidelines for telehealth services, ensuring these services meet quality and safety standards (CMS, n.d.). These guidelines enhance quality outcomes by establishing clear standards for service delivery, reimbursement, and patient care. By setting reimbursement policies, CMS promotes the adoption and expansion of telehealth, especially in underserved areas. Additionally, CMS mandates proper documentation, patient consent, and data security measures, which help maintain high care standards (CMS, n.d.).  These comprehensive guidelines foster consistent, high-quality telehealth practices, improving access to care, patient satisfaction, and overall health outcomes.

Ethical and Legal Practices

Telehealth nursing involves critical ethical and legal considerations, such as patient confidentiality and informed consent. Nurses must ensure that virtual consultations are conducted in private, secure environments to protect patient information. This ethical practice is connected with legal regulation set forth by the Health Insurance Portability and Accountability Act (HIPAA). According to Bassan (2020), HIPAA law mandates that telehealth services use secure communication channels and protect patient information from unauthorized access. Adhering to these ethical and legal standards upholds the ANA’s code of ethics, fostering trust and integrity in telehealth services. It also ensures that patient rights are respected and that care delivery is safe and compliant with legal requirements.

Reliable (Valid) Data to Reveal Practice Gaps in Telemonitoring 

Data collected from telemonitoring devices can be validated to reveal practice gaps. For instance, by systematically analyzing patient data, such as treatment effectiveness and follow-up rates, healthcare providers can identify areas where care may be lacking. If data reveals that specific patient demographics have higher readmission rates or lower engagement with telehealth services, these gaps can highlight the need for targeted interventions. Additionally, comparing telehealth outcomes with in-person care benchmarks can expose disparities, prompting enhancements in protocols and training. Utilizing validated data ensures a continuous, evidence-based approach to improving telehealth practices and patient care quality.

Conclusion 

At the end of the presentation, we acknowledge that ANA standards, along with nursing informatics, have a substantial impact on quality outcomes. Adhering to these standards, leveraging validated data, and implementing informatics theoretical models enable healthcare professionals to provide top-notch care and maximize technology use. However, it is crucial to follow ethical and legal frameworks to protect patient rights and give ethically and legally safe, effective care. By embracing these principles and tools, we can achieve more effective, evidence-based practices, leading to excellent healthcare delivery. 

References

American Nurses Association. (2023, June 1). What is evidence-based practice in nursing? ANA; nursingworld.org. https://www.nursingworld.org/content-hub/resources/workplace/evidence-based-practice-in-nursing/ 

American Nurses Association. (n.d.). Nursing: Scope and Standards of Practice. nursingworld.org. https://www.nursingworld.org/~4af71a/globalassets/catalog/book-toc/nssp3e-sample-chapter.pdf

ANA. (2023, June 11). Ways nurses can improve patient care. ANA; nursingworld.org. https://www.nursingworld.org/content-hub/resources/nursing-leadership/ways-nurses-can-improve-patient-care/ 

NURS FPX 6410 Assessment 1 Presentation to Informatics Staff

ANA. (n.d.). Nursing excellence | American Nurses Association. ANA; nursingworld.org. https://www.nursingworld.org/practice-policy/nursing-excellence/

Bassan, S. (2020). Data privacy considerations for telehealth consumers amid COVID-19. Journal of Law and the Biosciences, 7(1). https://doi.org/10.1093/jlb/lsaa075 

Batko, K., & Ślęzak, A. (2022). The use of big data analytics in healthcare. Journal of Big Data, 9(1). https://doi.org/10.1186/s40537-021-00553-4 

Cato, K. D., McGrow, K., & Rossetti, S. C. (2020). Transforming clinical data into wisdom. Nursing Management, 51(11), 24–30. https://doi.org/10.1097/01.numa.0000719396.83518.d6

Chen, H., Yu, P., Hailey, D., & Cui, T. (2020). Identification of the essential components of quality in the data collection process for public health information systems. Health Informatics Journal, 26(1), 664–682. https://doi.org/10.1177/1460458219848622 

CMS. (n.d.). Telehealth for providers: What you need to know. CMS. cms.gov. https://www.cms.gov/files/document/telehealth-toolkit-providers.pdf 

Ernstmeyer, K., & Christman, E. (2022). Chapter 6 – Ethical practice. In www.ncbi.nlm.nih.gov. Chippewa Valley Technical College. https://www.ncbi.nlm.nih.gov/books/NBK598377/ 

NURS FPX 6410 Assessment 1 Presentation to Informatics Staff

Xue, L., Rashid, A.M., & Ouyang, S. (2024). The Unified Theory of Acceptance and Use of Technology (UTAUT) in higher education: A systematic review. SAGE Open, 14(1). https://doi.org/10.1177/21582440241229570