Assessment 1: Presentation to Informatics Staff
Name
Capella University
Course Name
Professor’s Name
July 2024
Learning Theories and Diversity: Presentation to Informatics Staff
Slide 2: Hello, My name is _____ and I am going to give a speech to the nursing informatics team to indicate the importance of nursing practice standards. I will focus on the accuracy of data information rather than its inaccuracy and how the information can be used to identify faults in nursing practice.
Applying Theoretical Frameworks or Models
Slide 3: The Empowerment Informatics Framework (EIF) will provide support for nurses in using technology ethically in managing patients’ self-care and assessing interventions (Bourquard & Berler, 2021). This would be used to manage patients. An electronic personal health record (ePHR) would facilitate these goals for patients with chronic needs related to self-management, education, and counseling (Toni et al., 2021). Through health-enabling technologies (HET), nurses can engage and empower patients in managing care (Warnecke et al., 2020). The EIF aims at a safe, high-quality care provision to empower patients within healthcare settings (Bourquard & Berler, 2021). According to Turley’s Model 1996 nursing informatics is the intersection of informatics and discipline-specific science; it unites computing science, data science, and cognitive studies and applies them to nursing science (Kushniruk et al., 2022).
That knowledge would help the informatics nurse specialist in the resolution of user-related issues and in developing solutions to nursing practice, particularly in decision-making and computer interface design (Kushniruk et al., 2022).
Importance of Standards in Nursing Practice
Slide 4: Practice standards are to be the actual guidelines of practice for professional nurses in such a manner that patient safety and clinical proficiency are assured. The American Nurses Association has its standards of practice delineated, stating the expected route to work safely and effectively with professional conduct (Powers et al., 2020). The delineated standards foster interdisciplinary relationships by ensuring fair treatment amongst patients, patient autonomy, beneficence, and non-maleficence.
Examples of the Standards of Practice
Slide 5: Nurse informaticians (NI) are under the most obligation to meet the required nursing values along with standards when collecting patient data and relevant information (Wang et al., 2023). The American Nursing Association on the scope and standards gives the expectation that registered nurses have the experience to interpret the data that has been collected in the assessment stage (Wang et al., 2023). They should also have the experience to predict outcomes for the patients and implement the plans selected (Wang et al., 2023). Planning includes organizing care of the patient, treatment administered, and patient expectations through communication with nurses, patients’ families, and other health care providers.
Distinguishing Between Validated Data & Invalidated Data
Slide 6: Data usability influences the correctness and efficiency of the results. Reliable data come from proper communication and uprightness regarding human error and non-reliable data. Confidence in providing data validation describes the correct and complete assessment information. Improved data quality followed by the training of collected data methods and proper design of effective forms, relieving the burden from data collection and the ownership of data (Powers et al., 2020).
How Validated Data Can Identify Gaps in Practice
Slide 7: Validated data lessens the chance of false results, which in turn helps reduce defects and rationally reallocates available resources. They locate the weakest areas, thereby offering a lead time in the evaluation of the process for the closing of the practice gaps (Pachouly et al., 2022). The gap analysis, when conducted through validated data, effectively monitors the areas of improvement for the delivery of excellent superior results.
Analyzing the Specific Regulatory Bodies
Slide 8: For big data to be effectively used within a healthcare system, there is an obligation to deal with security and privacy concerns. Various laws and acts, including HIPAA, have their provisions insisting on the need to encrypt data to curb a data breach occurrence and ensure the privacy of information regarding patients (Mia et al., 2022). The HIPAA Privacy Rule establishes national standards for protecting patients’ records of health information, setting a boundary for privacy and confidentiality (Mia et al., 2022). The HITECH Act complements HIPAA through its promotion of electronic health records and enhancement of both security and privacy measures (Basil et al., 2022).
Evaluating Ethical & Legal Practices
Slide 9: The principle of non-maleficence stipulates that the patients have to be protected from harm. Informed consent, based on the essence of autonomy, allows patients to make decisions concerning their treatment (Akpa & Chima, 2021). Open reporting, together with the information that educates users on the use of such information, would accordingly uphold and support each ethical practice.
Transmission of Data, Information, and Plans to Key Stakeholders
Slide 10: Precise information is a critical ingredient in the provision of effective healthcare service delivery, and, when necessary, access to such data from multiple departments enhances both patient care and operational efficiency. The main beneficiaries, the patients, gain from prompt access to information, effective scheduling, and enhanced communication with physicians directly from the electronic health records (Vos et al., 2020).
NURS FPX 6410 Assessment 1 Presentation to Informatics Staff Conclusion
This assessment defines the critical role played by nursing informatics in modern healthcare emphasizing standardized practices, ethical frameworks, and integrity of data. The inclusion of frameworks such as EIF empowers nurses to adopt technology in an ethical way to improve patient care and self-management. Standards set by regulatory bodies, that can remove barriers, and facilitate patient safety, autonomy, and efficient inter-disciplinary collaboration. Nurse informaticians gather and translate data into outcome predictions and care delivery improvements by using validated data analysis. Ethics bestrides the management of patient information because of laws like HIPAA, which ensures that the patient’s confidentiality is protected and engenders trust. Through this paradigm of accuracy and accessibility within health care systems, improved operational efficiencies and patient outcomes can be achieved, further exposing this intersection of technology, ethics, and patient-centeredness as core in contemporary nursing practice.
NURS FPX 6410 Assessment 1 Presentation to Informatics Staff References
Akpa, F., & Chima, S. C. (2021). South African traditional values and beliefs regarding informed consent and limitations of the principle of respect for autonomy in African communities. BMC Medical Ethics, 22(1). https://doi.org/10.1186/s12910-021-00678-4
Basil, N., Ambe, S., Ekhator, C., & Fonkem, E. (2022). Health records database and inherent security concerns. Cureus, 14(10). https://doi.org/10.7759/cureus.30168
Bourquard, K., & Berler, A. (2021). Health information exchange: The overarching role of integrating the healthcare enterprise (IHE). Introduction to Nursing Informatics, 101–137. https://doi.org/10.1007/978-3-030-58740-6_5
Kushniruk, A., Borycki, E., & Monkman, H. (2022). Toward an integrative and holistic approach to the discipline of health informatics. Integrated Science, 593–605. https://doi.org/10.1007/978-3-030-96814-4_26
Mia, M. R., Shahriar, H., Valero, M., Sakib, N., Saha, B., Barek, M. A., Faruk, M. J., Goodman, B., Khan, R. A., & Ahamed, S. I. (2022). A comparative study on HIPAA technical safeguards assessment of android mHealth applications. Smart Health, 26, 100349. https://doi.org/10.1016/j.smhl.2022.100349
Pachouly, J., Ahirrao, S., Kotecha, K., Selvachandran, G., & Abraham, A. (2022). A systematic literature review on software defect prediction using artificial intelligence: Datasets, data validation methods, approaches, and tools. Engineering Applications of Artificial Intelligence, 111, 104773. https://doi.org/10.1016/j.engappai.2022.104773
Powers, M. A., Bardsley, J. K., Cypress, M., Funnell, M. M., Harms, D., Hess, A., Hooks, B., Isaacs, D., Mandel, E. D., Maryniuk, M. D., Norton, A., Rinker, J., Siminerio, L. M., & Uelmen, S. (2020). Diabetes self-management education and support in adults with type 2 diabetes. Journal of the American Pharmacists Association, 60(6), 1–18. https://doi.org/10.1016/j.japh.2020.04.018
Toni, E., Pirnejad, H., Makhdoomi, K., Mivefroshan, A., & Niazkhani, Z. (2021). Patient empowerment through a user-centered design of an electronic personal health record. BMC Medical Informatics and Decision Making, 21(1). https://doi.org/10.1186/s12911-021-01689-2
Vos, J. F., Boonstra, A., Kooistra, A., Seelen, M., & Offenbeek, M. (2020). The influence of electronic health record use on collaboration among medical specialties. BMC Health Services Research, 20(1), 676. https://doi.org/10.1186/s12913-020-05542-6
Wang, J., Xu, Y., Zhang, X., & Pan, H. (2023). Ethical predicaments and countermeasures in nursing informatics. Nursing Ethics. https://doi.org/10.1177/09697330231215962Warnecke, J. M., Wang, J., & Deserno, T. M. (2020). Implementation of a nationwide innovative E-Learning module for health enabling technologies. IOS Press. https://ebooks.iospress.nl/volumearticle/54588
