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NURS FPX 6412 Assessment 1 Policy and Guidelines for the Informatics Staff:Making Decisions to Use Informatics Systems in Practice

Student Name Capella University NURS-FPX 6412 Analysis of Clinical Information Systems and Application to Nursing Practice Prof. Name Date Policy and Guidelines for the Informatics Staff: Decision-Making in the Utilization of Informatics Systems Abstract This policy delineates the functionalities and assessment of the Electronic Treatment Administration (eTAR) as a pivotal tool in Electronic Health Records (EHR) within the healthcare system. It underscores the role of eTAR in supporting evidence-based practice, scrutinizing the work environment, contributing to strategic plans, evaluating workflow efficiency, and advancing interprofessional care. The document also encompasses guidelines and responsibilities pertinent to the integration of eTAR within the healthcare landscape. Functions of eTAR Electronic Treatment Administration (eTAR) serves several crucial functions within the healthcare system: Evaluation of eTAR’s Function in Evidence-Based Practice eTAR augments nursing services through paperless electronic care strategies, applicable to both acute and post-acute patient care. It generates resident lists based on location, pass time, and route of administration, creating e-charts with comprehensive patient information. It offers checkboxes for treatment and medication documentation, tracks patient-specific effects, and facilitates reorder requests when necessary. This systematic approach ensures efficient care delivery (Li et al., 2021). A summary page at the end of each session provides statistics on various parameters. Guidelines Reflecting Analysis of Work Setting eTAR enhances patient experiences and eradicates discrepancies in healthcare processes, safeguarding patient data from human errors. It facilitates the documentation of patient credentials, health conditions, medication routes, surgical/non-surgical procedures, and outcomes. Moreover, it assists healthcare providers in documenting unfulfilled medical and surgical orders, ensuring compliance with residents’ Electronic Health Records (EHR). This simplifies the collaboration between nurses and physicians (Quinn et al., 2019). Contribution to Strategic Planning eTAR plays a pivotal role in strategic planning by prioritizing new orders within a 72-hour timeframe. It utilizes the NetSolutions Clinical Decisions software to store and validate patient data, ensuring patient consent and access rights. The Clinical Decision Support (CDS) feature enhances care quality by providing validated data to care providers for more effective care delivery (Robertson et al., 2019). Assessment of Workflow Efficiency eTAR’s digitized data collection simplifies care provision and offers convenient features such as quick links, two-step verification, easy access to patient data, and relevant information placement. It employs barcoding for secure data storage, minimizing the potential for human errors (Tapuria et al., 2021). These enhancements maximize workflow efficiency and support multidisciplinary tasks. Contribution to Interprofessional Care eTAR maintains patient information access, facilitating coordinated interprofessional collaborative patient practice (ICP). It complements Electronic Health Records (EHR) by enhancing interprofessional communication and validating role responsibilities and competencies. The system generates reports that keep the entire team informed, promoting effective communication within interdisciplinary healthcare teams (Quinn et al., 2019). Conclusion eTAR emerges as a valuable EHR tool that maintains accurate patient data, enhances patient safety, and authorizes patients to access their information conveniently. Its efficient features, guidelines, and policies contribute significantly to the healthcare system’s quality and efficiency. References Kataria, S., & Ravindran, V. (2020). Electronic health records: A critical appraisal of strengths and limitations. Journal of the Royal College of Physicians of Edinburgh, 50(3), 262–268. https://doi.org/10.4997/jrcpe.2020.309 Li, E., Clarke, J., Neves, A. L., Ashrafian, H., & Darzi, A. (2021). Electronic Health Records, Interoperability and Patient Safety in Health Systems of High-income Countries: A Systematic Review Protocol. BMJ Open, 11(7), e044941. https://doi.org/10.1136/bmjopen-2020-044941 ‌Ludwikowska, K. (2018). Evidence-based training approach in organizational practice. Modern Management Review. https://doi.org/10.7862/rz.2018.mmr.48 McConeghy, K. W., Cinque, M., White, E. M., Feifer, R. A., Blackman, C., Mor, V., Gravenstein, S., & Zullo, A. R. (2021). Lessons for deprescribing from a nonessential medication hold policy in US nursing homes. Journal of the American Geriatrics Society, 70(2), 429–438. https://doi.org/10.1111/jgs.17512 NURS FPX 6412 Assessment 1 Policy and Guidelines for the Informatics Staff:Making Decisions to Use Informatics Systems in Practice Quinn, M., Forman, J., Harrod, M., Winter, S., Fowler, K. E., Krein, S. L., Gupta, A., Saint, S., Singh, H., & Chopra, V. (2019). Electronic health records, communication, and data sharing: Challenges and opportunities for improving the diagnostic process. Diagnosis, 6(3), 241–248. https://doi.org/10.1515/dx-2018-0036‌ Robertson, B., McDermott, C., Star, J., Lewin, L. O., & Spell, N. (2020). Synchronous virtual interprofessional education focused on discharge planning. Journal of Interprofessional Education & Practice, 100388. https://doi.org/10.1016/j.xjep.2020.100388‌ Tapuria, A., Porat, T., Kalra, D., Dsouza, G., Xiaohui, S., & Curcin, V. (2021). Impact of patient access to their electronic health record: Systematic review. Informatics for Health and Social Care, 46(2), 194–206. https://doi.org/10.1080/17538157.2021.1879810 Appendix A: Policy Overview This policy aims to acquaint the interdisciplinary healthcare team with eTAR technology and its benefits. It emphasizes the potential reduction in the workload of healthcare providers upon eTAR’s implementation. Purpose The purpose of this policy is to enhance the quality of healthcare services and streamline the responsibilities of healthcare providers, reducing the likelihood of errors. It introduces technological advancements to revolutionize healthcare, improving data collection, distribution, utilization, and automation across healthcare sectors (Quinn et al., 2019). Responsibility Guidelines Under this policy, extended guidelines for eTAR are established to promote its usage globally and enhance patient safety. The guidelines include: NURS FPX 6412 Assessment 1 Policy and Guidelines for the Informatics Staff:Making Decisions to Use Informatics Systems in Practice

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