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NURS FPX 6410 Assessment 1 Presentation to Informatics Staff

Presentation to Informatics Staff

Hello, my name is Yadeisys, 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.

NURS FPX 6410 Assessment 1 Presentation to Informatics Staff

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 at., 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 at., 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 at., 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).

NURS FPX 6410 Assessment 1 Presentation to Informatics Staff

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. Validated data identify areas of weakness or deficiency and enable 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 organizations and how valuable big data is for the advancement of medical knowledge. Data breaches can be prevented by data encryption (Moore & Frye, 2019). This encryption safeguards and maintains data ownership through every stage of the data lifecycle, from the data center to the endpoint. The Health Insurance Portability and Accountability Act is the law that governs the healthcare sector that is the most well-known and prominent (HIPAA). It lays out the necessary precautions that medical professionals and others must take to ensure the privacy of patient records (Moore & Frye, 2019).

 For the first time, the HIPAA Privacy Rule establishes national standards to safeguard patients’ medical records and other private health information. In order to minimize privacy and confidentiality concerns, data must be protected while employing technologies like EHR (Oyeleye, 2021). HITECH safeguards sensitive patient data by controlling who gets access to patient records, how patients are informed when there is a breach, and how HITECH and HIPAA compliance laws are upheld. The HITECH Act pushed healthcare organizations to adopt electronic health records and enhance security and privacy of patient information (Oyeleye, 2021).

Evaluating Ethical & Legal Practices

The non-maleficence principle of medical ethics states that a healthcare provider’s top priority should be to protect patients from harm and injury. To support transparent reporting, managers must promote multidisciplinary teamwork. In medical practice, informed consent is a legal notion developed from the ethical standard of autonomy. Regarding medical law and ethics, respect for autonomy refers to self-determination or freedom of choice (Varkey, 2021). Patients have the right to decide the intervention and treatment they want. The patient should be involved in the decision-making process by the medical personnel. Healthcare professionals should teach hypertension patients how to manage their condition independently, to raise awareness of the condition. Managers of public health can encourage openness. For instance, they might educate users on how the system uses and distributes the information that has been gathered about them. This will support transparency, stimulate research and innovation, and assist decision-making (Varkey, 2021).

Transmission of Data, Information, and Plans to Key Stakeholders

The lifeline of any effective hospital or clinic is accurate information. Healthcare staff can only decide on how to diagnose and treat a patient with precise data to examine. The availability of ready-to-use data and information from multiple hospital departments aids in better patient care and increased efficiency (Varkey, 2021). The most crucial stakeholders in any hospital or clinic are the patients. Patients can avoid lengthy wait times in hospitals by efficiently scheduling appointments online. Patients can quickly schedule an appointment based on their availability. Quick access to patient information assists clinicians in managing their time and inefficient therapies. The doctor can gather data from several departments for diagnosis and therapy because EHR combines all the departments (Varkey, 2021). Additionally, it facilitates better patient-doctor communication. Instead of the traditional paperwork needed, nurses can easily input the data collected from a patient with the aid of EHR technology. By using these strategies nursing staff are capable of handling large amounts of data anywhere and anytime.

NURS FPX 6410 Assessment 1 Presentation to Informatics Staff


Bossen, C., Pine, K. H., Cabitza, F., Ellingsen, G., & Piras, E. M. (2019). Data work in healthcare: An Introduction. Health Informatics Journal25(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 Sciences2(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 Health38(2), 81-90. https://doi.org/10.1159/000511576 

Moore, W., & Frye, S. (2019). Review of HIPAA, part 1: History, protected health information, and privacy and security rules. Journal of nuclear medicine technology47(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. Nursing202151(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 Nursing18(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 Making21(1), 1-15. https://doi.org/10.1186/s12911-021-01689-2 

Varkey, B. (2021). Principles of clinical ethics and their application to practice. Medical Principles and Practice30(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

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