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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 Hello, my name is Joseph, and I will deliver a presentation to the nursing informatics staff on the value of nursing practice standards. Along with defining valid and invalid data, I will also review how to utilize the data to examine gaps in nursing practice. Evidence-based practices must be incorporated into treatment and research through nursing informatics. Applying Theoretical Frameworks or Models The Empowerment Informatics Framework can assist practicing nurses in using technology ethically to facilitate self-management. It can also assess the methods to implement several interventions (Faustorilla, 2020). Technology helps the nursing staff to focus on patients’ needs first; therefore, this is a patient-centered healthcare strategy (Toni et al., 2021). An electronic personal health record (ePHR) has the potential to assist chronic patients with self-management, education, and counseling. The Empowerment Informatics Framework (EIF) is focused on empowering patients in healthcare settings via safe and high-quality care (Toni et al., 2021). Nurses engage the empowered patient by utilizing health-enabling technologies (HET) and promoting self-care management (Faustorilla, 2020). The EIF exhibits interactions between nurses and patients while collaborating with health-enabling technologies (HET). The main goal of the EIF is to provide patients with the necessary knowledge, skills, and preferences to learn about the management of diseased conditions (Toni et al., 2021). According to Turley’s Model (1996), nursing informatics is the nexus between the field of informatics and discipline-specific science (nursing). Within the field of nursing science, this paradigm offers a multidisciplinary approach and integrates computer science, information science, and cognitive science (Zhang et al., 2021). These ideas can aid informatics nurse experts in comprehending how nurses make decisions and process information, which will help them develop valuable solutions to support nursing procedures. Because of this, cognitive science is most beneficial to informatics nurse experts who focus on 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 In order to help professional nurses maintain patient safety and clinical competency, standards of practice are established in healthcare settings. American Nurses Association set standards for nursing practices as guidelines. It is a suggested route for safe practices and a tool for effective professional performance. It offers a starting point for assessing the standard of nursing care and boosts effectiveness and efficiency (Poorchangizi et al., 2019). The area of accountability for nurses may be made more transparent through standards. Nurses must be attentive to avoid social and cultural differences and be able to care for patients without passing judgment on them. They must also appreciate and concur with the patient’s values and beliefs. These standards improve interdisciplinary collaboration via following nurses’ standards such as fairness in treatment, promoting 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 present a viewpoint that exemplifies nursing values and beliefs. Registered Nurses (RNs) must be able to efficiently gather patient data and information relevant to their health or circumstance (Schmidt & McArthur, 2018). For instance, nurses may collect information about the patient’s family history and monitor blood pressure in hypertensive patients. The nurse would create a care plan after diagnosis and teach the hypertensive patient self-management strategies. In order to enable subsequent access, all the data will be recorded and stored in the EHR (Schmidt & McArthur, 2018). In order to identify prospective or accurate diagnoses, RNs must be able to examine the data acquired during the evaluation phase. Effective patient outcome prediction should be a skill for registered nurses. RNs can then carry out the chosen plan (Schmidt & McArthur, 2018). This may be accomplished by organizing the patient’s care, including treatment delivery, and encouraging wellness and secure healing settings. No matter their background, nurses must show advocacy and support for their patients’ needs. A registered nurse must be able to communicate with patients, their families, and other medical staff (Zhang et al., 2021). Distinguishing Between Validated Data & Invalidated Data While incorrect data give no information about the actual value, valid data represent a fundamental value that yields accurate outcomes. Validation is the process of double-checking data to ensure their accuracy. Data validation guarantees accurate and complete assessment information (Bossen et al., 2019). For instance, the data is deemed legitimate and reliable if a nurse puts the hypertensive patient’s blood pressure data into the system after checking it. The veracity of the data could be impacted by human mistakes, if the data entry process takes longer than expected (Bossen et al., 2019). Data that is invalid will be not reliable and it could happen due to poor communication, a delay in data entry, or a human mistake. Data validation offers advice on improving data quality and giving a general picture of data that makes it possible to appreciate somewhat and understand study results (Kislaya et al., 2019). Training in data collection, simple and concise form design, lowering the burden of data collection procedure, and assuring data ownership are all factors that increase data quality (Bossen et al., 2019). How Validated Data Can Identify Gaps in Practice Validated data decreases the likelihood of finding erroneous results and aids in defect mitigation because it accurately depicts the situation. It identifies areas of weakness or deficiency and enables resource refocusing. Validated data aids in examining processes to close practice gaps (Kislaya et al., 2019). Additionally, the distinction between the actual state of practice and the desired state can be made with validated data. This kind of comparison allows for identifying potential improvement gaps and better results. Using established gap analysis techniques helps lower the likelihood of future adverse outcomes for hypertension individuals (Kislaya et al., 2019). Analyzing the Specific Regulatory Bodies Big data can only be utilized if security and privacy concerns are handled, regardless of how important they are for the success of all healthcare