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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

NURS FPX 5005 Assessment 4 Patient Care Technology

Student Name Capella University NURS-FPX 5005 Introduction to Nursing Research, Ethics, and Technology Prof. Name Date Analysis of Technology in Nursing Practice This paper delves into diverse aspects of technology in patient care, exploring its applications, advantages, and challenges. Focusing on electronic health records (EHRs), the study examines their implications for patient care and nursing practice, covering utility, benefits, limitations, and ethical/regulatory considerations. Effects of Technology on Patient Care and Nursing Practice EHRs, digitized repositories of patients’ medical data accessible through healthcare organizations’ computer systems or mobile devices, serve as comprehensive guardians of medical histories. These histories include diagnostic information, treatment plans, allergies, infections, laboratory findings, billing details, radiology images, vaccination records, and physical/mental health indicators (Grewal et al., 2019). Effects on Patient Care EHRs expedite and enhance patient treatment, enabling nursing staff to quickly discern patients’ needs, facilitating more effective clinical interventions (Abul-Husn & Kenny, 2019). EHRs systematically aggregate and disseminate patient data to all caregivers, ensuring comprehensive information sharing. Effects on Nursing Practice Nursing professionals view EHRs as tools to contextualize patient data and facilitate interprofessional communication, especially for patients in critical conditions or under close observation (Wisner et al., 2019). Accessed through a secure portal, EHRs empower nurses to efficiently retrieve patient information, leading to improved intervention planning. Advantages and Disadvantages Advantages Drawbacks Concerns about malpractice liability, high implementation costs, and potential decreases in overall productivity (Upadhyay & Hu, 2020). Communication of Data EHRs facilitate structured and unstructured communication channels. Structured pathways, like computerized provider entry (CPOE), convey medication and allergy information, while unstructured pathways employ clinical notes (Zhang et al., 2020). Additionally, EHRs contribute to secure communication by integrating encryption algorithms into conventional medical cloud models. Identifying Criteria to Evaluate Data EHRs benefit from the commercialization and development of 5G technology, enabling nurses to communicate with patients via messages, emails, or phone calls from anywhere. Healthcare organizations establish online portals to engage patients, particularly those from remote areas, collecting and evaluating patient data before disseminating it to the broader medical team (Zhang et al., 2020). Controls and Safeguards to Maintain Patient Safety and Confidentiality Modern technologies deepen patient-staff communication and access to intervention updates, enhancing the nursing staff’s understanding of patients’ conditions. Safeguarding data involves granting portal access credentials to relatives or family members of patients with mental or visual impairments (Lee, 2017). Privacy concerns necessitate open dialogues with patients to prevent unauthorized data use. Proper staff training in data storage and monitoring is essential to ethically optimize patient health information within EHRs. Evidence-Based Strategies to Improve the Application of Patient Care Technology The Health Insurance Portability and Accountability Act (HIPAA) of 1996 mandates national standards to protect patients’ medical information from unauthorized disclosure (Shachar, 2022). Compliance with HIPAA Privacy and Security Rules ensures patient consent before data disclosure, enhancing patient care technology by improving health insurance portability and safety standards. Conclusion Patient care technology is pivotal in healthcare, fostering communication between healthcare organizations and patients through devices like blood pressure monitors, blood glucose monitors, and patient location trackers. While offering benefits, challenges such as staff training, data security, and patient privacy considerations must be addressed for ethical and effective utilization. References Abul-Husn, N. S., & Kenny, E. E. (2019). Personalized medicine and the power of Electronic Health Records. Cell, 177(1), 58–69. Bani Issa, W., Al Akour, I., Ibrahim, A., Almarzouqi, A., Abbas, S., Hisham, F., & Griffiths, J. (2020). Privacy, confidentiality, security, and patient safety concerns about Electronic Health Records. International Nursing Review, 67(2), 218–230. Grewal, D., Hulland, J., Kopalle, P. K., & Karahanna, E. (2019). The future of technology and marketing: A multidisciplinary perspective. Journal of the Academy of Marketing Science, 48(1), 1–8. NURS FPX 5005 Assessment 4 Patient Care Technology Lee, L. M. (2017). Ethics and subsequent use of Electronic Health Record data. Journal of Biomedical Informatics, 71, 143–146. Shachar, C. (2022). HIPAA, privacy, and reproductive rights in a Post-Roe era. JAMA, 328(5), 417. Upadhyay, S., & Hu, H. (2020). Clinicians’ lived experiences on the impact of Electronic Health Records (EHR) on quality and safety. Academy of Management Proceedings, 2020(1), 12928. Wisner, K., Lyndon, A., & Chesla, C. A. (2019). The Electronic Health Record’s impact on nurses’ cognitive work: An integrative review. International Journal of Nursing Studies, 94, 74–84. NURS FPX 5005 Assessment 4 Patient Care Technology Zhang, J., Liu, H., & Ni, L. (2020). A secure energy-saving communication and encrypted storage model based on RC4 for EHR. IEEE Access, 8, 38995–39012.

NURS FPX 4010 Assessment 1 Collaboration and Leadership Reflection Video

Student Name Capella University NURS-FPX 4010 Leading People, Processes, and Organizations in Interprofessional Practice Prof. Name Date Collaboration and Leadership Reflection Video Hello everyone, my name is ———, and I am a nurse at Vila Health. Today, I will first share some reflections on the critical role of interprofessional collaboration in healthcare based on my own experiences. This will set the context for examining a recent EHR implementation at another Vila Health location. I aim to shed light on the challenges and lessons learned from this case and offer evidence-backed strategies for improving collaboration and leadership in such interdisciplinary projects. Let’s dive in. Reflection on Interdisciplinary Collaboration Experience In a previous role, I was part of an interdisciplinary team focused on reducing hospital readmissions. Our team comprised healthcare professionals, data analysts, and administrative staff. The goal was to identify patterns and root causes of readmissions and implement strategies to minimize them. The initial phases were successful because everyone was committed to the same end goal. Administrative staff facilitated meetings, data analysts produced valuable insights into readmission patterns, and healthcare providers used this data to optimize patient care plans. Early on, we observed a decrease in readmissions, signaling the effectiveness of our initial strategies. As we moved forward, it became clear that not all departments were aligned. While the data analysts quickly provided numbers, they needed to fully understand the constraints and variables that healthcare providers must consider, such as patient compliance and social determinants of health. Similarly, administrators were focused on cost reduction without fully grasping the clinical implications of budget cuts. This resulted in some strategies that looked good on paper but needed to be more practical in the healthcare setting, leading to tension within the team. In retrospect, we could have benefited from a more robust initial assessment to understand each department’s limitations and capabilities. Communication lines should have been more open, with regular touchpoints to discuss challenges and adjustments needed. The Role of Reflective Nursing Practice Reflective nursing practice would have been invaluable in this scenario. According to Grubaugh & Bernard (2022), reflective practice in nursing provides a structured framework to examine and learn from events, enhancing the quality of care and interprofessional relations. If reflective practices had been in place, we would have been better equipped to communicate the challenges we faced effectively, providing data analysts and administrators with the valuable context they needed for more informed decision-making. Falcó‐Pegueroles et al. (2020) argue that reflective practice allows healthcare practitioners to grasp the complex dynamics in their professional settings, thereby enhancing future decision-making. In our case, applying reflective practice would have likely fostered a more cohesive and efficient interdisciplinary team united in achieving our mutual goal of reducing hospital readmissions. Impact of Poor Collaboration on Resource Management Human Resource Strain In the Vila Health scenario, it became painfully clear that the lack of effective interprofessional collaboration significantly strained human resources, particularly among the nursing staff. The absence of coordinated efforts led to extended work hours, escalating stress levels, and plummeting morale. Taranu et al. (2022) expressly point out that poor collaboration can contribute to a heightened sense of job dissatisfaction, leading to increased burnout rates. This lack of cooperation and heightened stress likely exacerbated preexisting inefficiencies within the healthcare team at Vila Health. Financial Resource Drain In the Vila Health case, the EHR system’s implementation was marked by a lack of coherent planning and interprofessional teamwork, leading to financial inefficiencies. Charosaei et al. (2022) discuss how poor interprofessional collaboration often leads to redundant tasks, which unnecessarily utilize limited resources. In Vila Health, this manifested in a series of unplanned system modifications, causing delays in project completion and increased costs that could have otherwise been avoided. Patient Care Compromised The quality of patient care was not spared in this scenario. The diversion of nursing staff towards non-clinical tasks, such as troubleshooting the new EHR system seriously impacted the time they could dedicate to patients. Watson et al. (2020) have shown that poor team collaboration has a cascading effect on healthcare outcomes, often leading to reduced quality of care. In the Vila Health case, this was evident as overwhelmed nurses could not provide the level of attention and care that patients needed, potentially compromising health outcomes. Best-Practice Leadership Strategies for Interdisciplinary Collaboration Transformational Leadership for a More Cohesive Team To improve the team’s overall effectiveness and collaboration, transformational leadership is a well-regarded strategy supported by Collins et al. (2020). This leadership style goes beyond simple management; it aims to inspire team members by setting a compelling vision and encouraging active participation in planning and execution. A transformational leadership approach could have mitigated some rollout challenges in Vila Health and the EHR system. If this strategy were applied, the team members would have been more actively involved in the planning stages, reducing stress, errors, and inefficiencies during the EHR system’s implementation. Situational Leadership for Customized Team Management Another promising strategy that could significantly improve the team’s effectiveness is Situational Leadership, as proposed by Balasubramanian & Fernandes (2022). This leadership model advocates for a tailored approach considering each team member’s unique abilities, experience levels, and needs. In the Vila Health scenario, a leader adopting situational leadership could have conducted a needs analysis for the departments involved—nursing, IT, and administration. Such an approach would facilitate better allocation of tasks, and the leader could adapt their style to suit the specific needs and challenges facing each team, thereby potentially preventing many of the issues that arose during the EHR system implementation. By integrating these best-practice leadership strategies into our approach, we could substantially improve our interdisciplinary team’s ability to meet its goals, manage resources more efficiently, and, most importantly, deliver improved patient care. Best-Practice Strategies for Effective Interprofessional Collaboration Drawing from my own experience and the insights offered by Powers et al. (2022), the Team-Based Care model stands out as an essential strategy for enhancing interdisciplinary collaboration. This model strongly advocates for clearly defined roles, shared objectives, and open communication channels among