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NURS FPX 6410 Assessment 1 Presentation to Informatics Staff

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    NURS FPX 6410 Assessment 1 Presentation to Informatics Staff

    Student Name

    Capella University

    NURS-FPX 6410 Fundamentals of Nursing Informatics

    Prof. Name

    Date

    Presentation to Informatics Staff

    Greetings, my name is Joseph, and I am tasked with delivering a presentation to the nursing informatics staff on the significance of nursing practice standards. In addition to elucidating the concepts of valid and invalid data, I will also explore how these data can be employed to identify gaps in nursing practice. The integration of evidence-based practices into treatment and research is imperative through the lens of nursing informatics.

    Applying Theoretical Frameworks or Models

    The utilization of theoretical frameworks, such as the Empowerment Informatics Framework (EIF), can aid practicing nurses in ethically leveraging technology to support self-management (Faustorilla, 2020). The EIF not only facilitates ethical technology use but also assesses methods for implementing various interventions (Faustorilla, 2020). Technology enables nursing staff to prioritize patients’ needs, making it a cornerstone of patient-centered healthcare strategies (Toni et al., 2021). An electronic personal health record (ePHR) holds promise in assisting chronic patients with self-management, education, and counseling. The EIF is dedicated to empowering patients in healthcare settings through the provision of safe and high-quality care (Toni et al., 2021).

    Nurses actively engage empowered patients by employing health-enabling technologies (HET) and advocating for self-care management (Faustorilla, 2020). The EIF exemplifies the collaboration between nurses and patients in conjunction with health-enabling technologies. Its primary goal is to equip patients with the necessary knowledge, skills, and preferences for managing their health conditions (Toni et al., 2021). Turley’s Model (1996) posits that nursing informatics serves as the nexus between informatics and discipline-specific science (Zhang et al., 2021). Within the field of nursing science, this paradigm integrates computer science, information science, and cognitive science (Zhang et al., 2021).

    Understanding how nurses make decisions and process information is crucial for informatics nurse experts to develop effective solutions supporting nursing procedures. Cognitive science is particularly beneficial for informatics nurse experts dealing with user-related informatics challenges, including decision-making and the design of computer interfaces for nurses (Zhang et al., 2021).

    Importance of Standards in Nursing Practice

    Establishing standards of practice in healthcare settings is essential for professional nurses to uphold patient safety and clinical competency. The American Nurses Association provides guidelines for nursing practices, offering a suggested path for safe practices and enhancing professional performance (Poorchangizi et al., 2019). These standards serve as a foundation for assessing the quality of nursing care, fostering effectiveness, and promoting efficiency.

    Nurses must be vigilant in navigating social and cultural differences, providing care without judgment, and respecting patients’ values and beliefs. These standards enhance interdisciplinary collaboration by emphasizing principles such as fairness in treatment, promotion of patient sovereignty, improvement in benevolence, and non-maleficence (Poorchangizi et al., 2019).

    Examples of the Standards of Practice

    According to the American Nursing Association’s (ANA) scope and criteria, nurse informaticians (NI) must embody nursing values and beliefs in their perspectives (Schmidt & McArthur, 2018). Registered Nurses (RNs) must proficiently gather patient data relevant to health or circumstances. For instance, nurses may collect information about a patient’s family history and monitor blood pressure in hypertensive patients. The collected data would be recorded in an electronic health record (EHR) for subsequent access (Schmidt & McArthur, 2018).

    RNs must also be adept at examining acquired data during the evaluation phase to identify potential or accurate diagnoses. Effective patient outcome prediction is a crucial skill for registered nurses, enabling them to carry out chosen care plans (Schmidt & McArthur, 2018). This involves organizing patient care, delivering treatment, and promoting wellness in secure healing settings. Regardless of their background, nurses must advocate for their patients and effectively communicate with them, their families, and other medical staff (Zhang et al., 2021).

    Distinguishing Between Validated Data & Invalidated Data

    Valid data, representing a fundamental value that yields accurate outcomes, stand in contrast to invalid data, which provide no information about the actual value. Validation, the process of double-checking data for accuracy, ensures reliable and complete assessment information (Bossen et al., 2019). For example, a nurse entering a hypertensive patient’s blood pressure data into the system after careful verification ensures the legitimacy and reliability of the data (Bossen et al., 2019).

    Invalid data lack reliability and may result from poor communication, delayed data entry, or human error. Data validation provides insights into improving data quality and offers a comprehensive picture for appreciating and understanding study results (Kislaya et al., 2019). Factors such as training in data collection, simple form design, reducing the burden of data collection procedures, and ensuring data ownership contribute to enhanced data quality (Bossen et al., 2019).

    How Validated Data Can Identify Gaps in Practice

    Validated data, by reducing the likelihood of erroneous results, assist in defect mitigation and accurately depict the situation. They help identify areas of weakness or deficiency, enabling the refocusing of resources. Validated data play a crucial role in assessing processes to close practice gaps (Kislaya et al., 2019). Moreover, validated data enable a comparison between the actual and desired states of practice, aiding in the identification of potential improvement gaps and better outcomes. The use of established gap analysis techniques lowers the likelihood of adverse outcomes for individuals with conditions like hypertension (Kislaya et al., 2019).

    Analyzing the Specific Regulatory Bodies

    The utilization of big data in healthcare organizations necessitates addressing security and privacy concerns. Regardless of its importance for the advancement of medical knowledge, big data’s success is contingent upon preventing data breaches through measures such as data encryption (Moore & Frye, 2019). The Health Insurance Portability and Accountability Act (HIPAA) is the most well-known and prominent law governing the healthcare sector, setting forth necessary precautions to ensure the privacy of patient records (Moore & Frye, 2019).

    The HIPAA Privacy Rule establishes national standards for safeguarding patients’ medical records and other private health information, minimizing privacy and confidentiality concerns. The adoption of electronic health records (EHR) is instrumental in upholding HITECH and HIPAA compliance laws, enhancing security and privacy of patient information (Oyeleye, 2021).

    Evaluating Ethical & Legal Practices

    The non-maleficence principle of medical ethics emphasizes the healthcare provider’s responsibility to protect patients from harm and injury. Multidisciplinary teamwork, facilitated by transparent reporting, supports this principle. Informed consent, rooted in the ethical standard of autonomy, is a legal notion in medical practice. Respect for autonomy refers to patients’ self-determination or freedom of choice in medical law and ethics (Varkey, 2021). Patients have the right to decide the interventions and treatments they desire.

    To raise awareness of conditions such as hypertension, healthcare professionals should educate patients on self-management strategies. Transparency, achieved through educating users on how their information is used, fosters openness, supports research and innovation, and aids decision-making (Varkey, 2021).

    Transmission of Data, Information, and Plans to Key Stakeholders

    Accurate information is the lifeline of any effective hospital or clinic. Precise data enables healthcare staff to make informed decisions about patient diagnosis

    and treatment. Ready-to-use data and information from multiple hospital departments enhance patient care and efficiency (Varkey, 2021). Patients, as crucial stakeholders, benefit from efficient scheduling through online appointments, avoiding lengthy wait times.

    Quick access to patient information through Electronic Health Records (EHR) assists clinicians in managing their time and providing efficient therapies. EHR consolidates data from various departments, facilitating better patient-doctor communication. Nurses can input patient data seamlessly, reducing paperwork and allowing the nursing staff to handle large amounts of data anywhere and anytime (Varkey, 2021).

    References

    Bossen, C., Pine, K. H., Cabitza, F., Ellingsen, G., & Piras, E. M. (2019). Data work in healthcare: An Introduction. Health Informatics Journal, 25(3), 465-474. https://doi.org/10.1177/1460458219864730

    Faustorilla, J. F. (2020). Initiating developments of nursing informatics within a caring perspective for Philippine nursing. Journal of Health and Caring Sciences, 2(1), 78-89. https://doi.org/10.37719/jhcs.2020.v2i1.rna002

    Kislaya, I., Santos, A. J., Lyshol, H., Antunes, L., Barreto, M., Gaio, V., & Nunes, B. (2020). Collecting valid and reliable data: Fieldwork monitoring strategies in a health examination survey. Portuguese Journal of Public Health, 38(2), 81-90. https://doi.org/10.1159/000511576

    NURS FPX 6410 Assessment 1 Presentation to Informatics Staff

    Moore, W., & Frye, S. (2019). Review of HIPAA, part 1: History, protected health information, and privacy and security rules. Journal of nuclear medicine technology, 47(4), 269-272. https://doi.org/10.2967/jnmt.119.227819

    Oyeleye, O. A. (2021). The HIPAA Privacy Rule, COVID-19, and Nurses’ privacy rights. Nursing2021, 51(2), 11-14. https://doi.org/10.1097/01.nurse.0000731892.59941.a9

    Poorchangizi, B., Borhani, F., Abbaszadeh, A., Mirzaee, M., & Farokhzadian, J. (2019). The importance of professional values from nursing students’ perspective. BMC Nursing, 18(1), 1-7. https://doi.org/10.1186/s12912-019-0351-1

    Schmidt, B. J., & McArthur, E. C. (2018). Professional nursing values: A concept analysis. Nursing Forum, 53(1), 69-75. https://doi.org/10.1111/nuf.12211

    Toni, E., Pirnejad, H., Makhdoomi, K., Mivefroshan, A., & Niazkhani, Z. (2021). Patient empowerment through a user-centered design of an electronic personal health record: A qualitative study of user requirements in chronic kidney disease. BMC Medical Informatics and Decision Making, 21(1), 1-15. https://doi.org/10.1186/s12911-021-01689-2

    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

    Zhang, T., Wu, X., Peng, G., Zhang, Q., Chen, L., Cai, Z., & Ou, H. (2021). Effectiveness of standardized nursing terminologies for nursing practice and healthcare outcomes: A Systematic Review. International Journal of Nursing Knowledge, 32(4), 220–228. https://doi.org/10.1111/2047-3095.12315