Student Name Western Governors University D029 Informatics for Transforming Nursing Care Prof. Name Date Interview with a Nurse Manager on Informatics and Process Improvement I recently conducted an interview with a nurse manager working in the medical/surgical service line at my hospital. Although his primary responsibilities do not center on informatics, he has shown considerable skill in developing and implementing new processes that enhance efficiency for his nursing staff. During our conversation, I introduced five key technologies that I was exploring in the initial phase of the Clinical Practice Experience (CPE). These included health databases, electronic health records (EHRs), telehealth, wearable technology, and clinical decision support systems (CDSS). The nurse manager acknowledged limited exposure to some of these technologies, particularly clinical decision support systems and telehealth. However, he has significant experience with customizing electronic health records to better fit the specific workflows of his team. For example, he designed navigators within the EHR system to streamline the documentation processes related to admissions, transfers, and discharges. This customization effectively reduced the charting workload for nurses by simplifying and organizing information entry. One of his major accomplishments was spearheading the creation of a discharge summary report aimed at reducing the length of hospital stays. This report allows charge nurses to proactively identify patients who are likely to be cleared for discharge within the next few days. Charge nurses then work closely with primary nurses to identify any obstacles preventing timely discharge and take appropriate action. Thanks to these informatics-driven improvements, the average length of stay in his unit was significantly reduced, dropping from over ten days to under six days within a single year. This change represents a notable enhancement in patient outcomes directly influenced by process improvements facilitated through technology. Use of Wearable Technology and Patient Safety Concerns Our discussion also highlighted the important role of wearable technology in inpatient care, especially regarding patient monitoring. The nurse manager shared a serious incident involving cardiac telemetry monitoring. In this case, a patient undergoing an MRI was unable to keep the telemetry leads and monitoring device attached during the imaging procedure. Unfortunately, the monitoring equipment was not reconnected once the MRI was completed, and by the time the patient returned to the hospital floor, they were found unresponsive. Despite resuscitation attempts, the patient did not survive. The lack of continuous cardiac monitoring made it impossible to determine the duration of unresponsiveness before discovery. D029 Narrative Essay: Innovations in Nursing Informatics This tragic sentinel event occurred in the unit managed by the nurse manager and motivated him to implement a new hospital policy. The policy mandates that any patient on cardiac monitoring who leaves the floor must be accompanied by staff certified in Advanced Cardiovascular Life Support (ACLS). He emphasized that although technology holds tremendous promise for improving patient care and operational efficiency, its safe and proper application is essential to safeguard both patients and healthcare providers. Summary Table of Interview Insights Question Response What is the nurse manager’s role regarding informatics? While not primarily focused on informatics, he develops processes to improve workflow and efficiency. Which technologies were discussed? Health databases, electronic health records (EHR), telehealth, wearable technology, and CDSS. Experience with EHR customization? Extensive; created navigators for admission, transfer, and discharge to ease charting workload. How was patient length of stay reduced? Developed a discharge summary report to identify and resolve barriers, reducing stay from >10 to <6 days. What happened with wearable technology? Sentinel event due to cardiac telemetry being disconnected during MRI, resulting in patient death. What safety measures were implemented after the event? New policy requiring ACLS-certified staff to accompany patients on cardiac monitoring when off the floor. What is the nurse manager’s view on technology use? Technology can improve outcomes and productivity but must be used safely and correctly. References American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.).

Student Name Western Governors University D029 Informatics for Transforming Nursing Care Prof. Name Date Phase 2 Clinical Practice Experience for Informatics for Transforming Nursing Care This report provides a comprehensive overview of the clinical practice experience during Phase 2 of the course Informatics for Transforming Nursing Care at Western Governors University. It includes a detailed schedule of activities, demographic characteristics of nurse participants, and an in-depth analysis of perceived barriers to the integration of research in nursing practice. The findings aim to shed light on nurses’ engagement with research and the challenges they encounter when applying evidence-based practices in clinical settings. What is the schedule for Phase 2 clinical practice activities? The Phase 2 clinical practice activities were structured with a clear timeline to help balance the workload and ensure steady progress. Below is the breakdown of the scheduled tasks, estimated time commitment, and expected completion: Activity Estimated Time Estimated Completion Date Completion of Clinical Practice Experience Schedule Table 30 minutes To be determined Data Analysis (Continuous, Categorical, Nominal, Ordinal) 4 hours total To be determined Educational Level Pivot Table/Screenshot 1 hour To be determined This timeline allowed participants to allocate sufficient time for both data analysis and the necessary documentation, which are essential components for a thorough evaluation of clinical practice. What are the descriptive statistics related to perceived barriers to research utilization? Analysis of Total Barriers Scores The study involved 76 nurse participants whose perceptions of barriers to research utilization were quantitatively assessed. Key statistical outcomes include: Statistic Value Mean total barrier score 73.30 Median score 75 Mode score 82 Standard deviation 14.00 Score range 44–103 Sum of all scores 5571 The mean score of 73.30 suggests a moderate perception of barriers overall, with a noticeable variation in responses, indicated by the standard deviation of 14. These findings demonstrate diverse nurse experiences and attitudes toward research utilization, which can inform targeted strategies to reduce obstacles. How experienced are the participating nurses? The nurses’ years of professional experience as Registered Nurses (RNs) varied widely. The descriptive statistics are as follows: Statistic Value Mean years as RN 9.39 Median 7 Mode 8 Standard deviation 7 Experience range 2–28 Total combined years 714 With an average of approximately nine years in practice and a range spanning from 2 to 28 years, this group represents a broad spectrum of expertise. This variation in experience may influence how barriers to research utilization are perceived and addressed. What are the demographic and professional characteristics of the sample? The 76 participating nurses represented a diverse group in terms of age, gender, race/ethnicity, work settings, and educational attainment: Age Distribution: Gender Breakdown: Race/Ethnicity: Healthcare Settings: Educational Attainment: This diverse demographic and professional composition provides a rich context for understanding multiple perspectives on research utilization across different nursing roles and levels of experience. What barriers to research utilization were identified by the nurses? Nurses evaluated potential barriers using a scale from 1 (no extent) to 4 (great extent). The analysis revealed both significant and minimal perceived obstacles: Which barriers are considered most significant? The following barriers received the highest rating of 4, indicating they are major impediments to the use of research in practice: These highlight systemic challenges related to time management, information overload, and organizational support that must be addressed to enhance research integration. Which barriers were perceived as minimal? Barriers rated with the lowest score of 1, suggesting they are not significant obstacles, include: This suggests that nurses generally appreciate the importance of research but face external barriers in applying it. How does education level distribute across work settings? The educational qualifications of nurses vary depending on their workplace. The table below summarizes this relationship: Work Setting Associate Degree Bachelor’s Degree (BSN) Master’s Degree (MSN) Doctorate (DNP/PhD) Patient Care 12 13 14 3 Academic 7 6 2 1 Community/Public Health 1 9 0 1 Other 3 3 0 1 There is a noticeable concentration of advanced degrees among those working in patient care and academic settings, reflecting varied educational demands based on the work environment. What is the racial composition across different age groups? The distribution of racial groups within two age cohorts is as follows: Race Age 19–39 Age 40–59 White 34 10 African American 9 3 Asian 8 1 Other 1 1 This data shows a predominance of younger White nurses in the sample, with minority groups also largely represented in the younger age category. Conclusion and Future Directions This analysis of Phase 2 clinical practice experience reveals important insights into nurse demographics, their professional backgrounds, and perceived barriers to research utilization. The findings underscore the necessity to address time constraints, information overload, and organizational empowerment to improve research adoption. Future research could benefit from exploring correlations between educational levels and perceived barriers, enhancing targeted interventions to foster evidence-based nursing care. References Stetler, C. B., et al. (2019). The role of nursing research in evidence-based practice. Nursing Outlook, 67(3), 196-204. https://doi.org/10.1016/j.outlook.2018.12.005 Melnyk, B. M., & Fineout-Overholt, E. (2019). Evidence-based practice in nursing & healthcare: A guide to best practice (4th ed.). Wolters Kluwer. D029 CPE Phase 2 Titler, M. G. (2018). The evidence for evidence-based practice implementation. Patient Safety and Quality: An Evidence-Based Handbook for Nurses. Agency for Healthcare Research and Quality.

Student Name Western Governors University D029 Informatics for Transforming Nursing Care Prof. Name Date D029 Emerging Tech Annotated Bibliography for Nursing Care Exploring Digital Health Care: eHealth, mHealth, and Librarian Opportunities What are the impacts of eHealth and mHealth on healthcare delivery? Chan (2021) discusses the profound transformation that digital health technologies, such as eHealth and mHealth, bring to contemporary healthcare. The widespread adoption of smartphones and mobile devices has significantly enhanced communication between patients and healthcare providers. These technologies empower consumers by providing easier access to health information and facilitating more interactive and responsive healthcare services. What challenges accompany the rise of digital health technologies? Despite these advantages, Chan (2021) identifies several obstacles to effectively implementing digital health tools. These include data overload, which can overwhelm both healthcare professionals and patients, concerns about data privacy and security, and the critical need to improve technology literacy among healthcare workers as well as health literacy among consumers. These challenges illustrate the complexities of integrating emerging technologies into healthcare systems and highlight the importance of addressing them to maximize benefits. Blockchain Technology Applications in Healthcare: An Overview Question Answer What role does blockchain technology play in healthcare? Haleem, Javaid, and Singh (2021) describe blockchain as a groundbreaking technology with the potential to enhance healthcare by improving the accuracy and dependability of medical data while minimizing errors. How does blockchain improve healthcare data management? Blockchain networks bolster data security, increase transparency, and enhance performance. They enable safer sharing of medical records across different healthcare entities and help prevent fraud in clinical trials by ensuring data authenticity and traceability. Can Innovative Technologies Improve Behavioral Health Care for Older Adults? How does telehealth benefit older adults in behavioral health care? Kuerbis and Behrendt (2020) explore the application of telehealth in behavioral health services tailored for older adults. Telehealth facilitates remote evaluation and treatment, which is especially critical during situations that limit face-to-face visits, such as the COVID-19 pandemic. What challenges does telehealth address in older adult populations? Telehealth plays a vital role in protecting older adults by minimizing their risk of exposure to infectious diseases while maintaining access to essential behavioral health care. Moreover, the technology helps to address the rise in substance abuse within this group by removing traditional barriers to care access (Kuerbis & Behrendt, 2020). Emerging Technology for Diagnostic Microbiology Question Answer Why is real-time PCR testing important in microbiology? Mishra (2019) emphasizes real-time Polymerase Chain Reaction (PCR) testing as a crucial advancement for rapid and accurate detection of infectious diseases, enhancing diagnostic precision. What future advancements in microbial diagnostics are discussed? The integration of machine learning for microbial typing, especially through DNA signature analysis, is anticipated to expand the range and accuracy of bacterial identification, thereby improving patient care outcomes (Mishra, 2019). Post COVID-19 Health Care System: A Call for Community-Based, Person-Centered, and Primary Care-Driven Care What are the major issues facing the US healthcare system post-COVID-19? Moon and Ascher (2021) critique the US healthcare system as one of the poorest-performing among developed countries. They highlight the system’s failure to emphasize preventive care and its limited access to primary care services as fundamental issues that undermine overall healthcare quality. What solutions are proposed for reforming healthcare? The authors propose a shift towards a community-based care framework that prioritizes person-centered and primary care-driven approaches. This model is designed to rebuild trust, improve access, and promote health equity, particularly within marginalized populations. They call for systemic reforms aimed at creating a more comprehensive and inclusive healthcare system in the aftermath of the pandemic (Moon & Ascher, 2021). References Chan, J. (2021). Exploring digital health care: eHealth, mHealth, and librarian opportunities. Journal of Medical Library Association, 109(3), 376-381. https://doi.org/10.5195/jmla.2021.1180 Haleem, A., Javaid, M., & Singh, R. P. (2021). Blockchain technology applications in healthcare: An overview. International Journal of Intelligent Networks, 2, 130-139. https://doi.org/10.1016/j.ijin.2021.09.005 Kuerbis, A., & Behrendt, S. (2020). Can innovative technologies improve behavioral health care for older adults? Generations Journal, 44(4), 1-12. https://www.generations.asaging.org Mishra, V. (2019). Emerging technology for diagnostic microbiology. Delve Publishing. Moon, J. R., & Ascher, A. F. (2021). Post COVID-19 health care system: A call for community-based, person-centered, and primary care-driven care. Social Justice for Marginalized Communities, 111(8), 1451-1455.

Student Name Western Governors University D029 Informatics for Transforming Nursing Care Prof. Name Date Annotated Bibliography Factors Influencing the Use of Electronic Personal Health Records (ePHRs) What are electronic personal health records (ePHRs) and what functionalities do they provide? Electronic personal health records (ePHRs) are digital platforms that allow patients to access parts of their medical records securely. They provide functionalities such as communication with healthcare providers, sharing medical information, managing appointments, and handling prescription refills. These tools empower patients by giving them more control and involvement in their healthcare management, fostering a more patient-centered approach. What factors affect patients’ use of ePHRs? A comprehensive review of 97 studies, encompassing over 150 factors, identified 18 critical elements influencing the adoption and utilization of ePHRs by patients. These factors can be categorized as follows: Factor Category Specific Factors Demographic Sex, ethnicity, marital status, language, place of residence Socioeconomic Income, education level, employment status, socioeconomic status Health-Related Overall health status Technological and Access Availability of facilitating conditions, internet and computer access, frequency of internet use Perceptions and Awareness Awareness of ePHRs, perceived ease of use, perceived usefulness Privacy and Security Concerns Concerns regarding data privacy and security These determinants significantly influence whether patients will adopt and actively use ePHRs in managing their health. What is the significance of these factors for stakeholders? For healthcare stakeholders implementing ePHRs, recognizing and addressing these factors is crucial to improve adoption rates. By tailoring the design of ePHRs and communication strategies to these influencing elements, healthcare organizations can enhance patient engagement and ultimately improve health outcomes. Considering demographic, socioeconomic, technological, and privacy concerns allows for more inclusive and effective implementation (Abd-alrazaq et al., 2019). Using Virtual Simulation to Teach Evidence-Based Practice (EBP) in Nursing Education What types of virtual simulations are used in nursing education to teach evidence-based practice? In nursing education, two primary forms of virtual simulations (VS) are employed to teach evidence-based practice (EBP). These include screen-based simulations featuring live actors or avatars and virtual reality simulations (VRS) that involve immersive headset technology. Both types create interactive clinical case scenarios where students engage in decision-making exercises. How do VS and VRS benefit nursing students? Virtual simulations provide a safe and controlled environment that allows nursing students to practice clinical decisions without any risk to real patients. Additionally, these simulations offer critical clinical exposure, especially when in-person clinical placements are limited or unavailable. They help build students’ confidence and competence in applying evidence-based nursing practices. What conclusions were drawn about the integration of virtual simulations in nursing curricula? A rapid review analyzing 37 case studies found that both VS and VRS positively impact undergraduate nursing education by enhancing learning outcomes related to EBP. The authors recommend incorporating these simulation technologies into nursing curricula to better prepare students for clinical challenges and promote effective evidence-based nursing care (Cant et al., 2022). Development and Impact of an Inpatient Staffing Dashboard What was the purpose of the inpatient staffing dashboard project? The project at Loma Linda University Medical Center aimed to optimize staffing management by developing a collaborative dashboard. This tool was designed to increase transparency and facilitate efficient allocation of staffing resources. How was the dashboard designed and integrated? A multidisciplinary team including nursing staff from the staffing department and analytics specialists from the Information Systems group collaborated to create and refine dashboard mockups. The finalized dashboard was integrated within Epic Hyperspace and SharePoint platforms, allowing access according to different user permissions. What features does the dashboard provide? Dashboard Tab Functionality Main Page Provides a summary overview of the current staffing status Staffing by Labor Mix Compares staffing requirements with actual staffing levels Productive-Nonproductive Hours Displays historical and projected productive vs. nonproductive hours Filled Percentage by Position Shows the percentage of staffing fulfillment by each role What was the overall impact of the dashboard? The dashboard improved transparency in staffing and empowered leaders to make evidence-based decisions tailored to unit and institutional needs. This collaborative approach led to better resource utilization and enhanced patient care quality (Role et al., 2021). Telehealth to Improve Delirium Screening in ICU Nurses Why is delirium screening important in the ICU setting? Delirium is a frequent and serious condition affecting patients in intensive care units (ICUs). Timely and accurate screening is essential for early diagnosis and intervention, which can prevent complications and improve patient outcomes. How was telehealth utilized in this study? The study remotely observed 13 ICU nurses across multiple hospitals administering the Confusion Assessment Method for the ICU (CAM-ICU) using a telehealth platform. An expert geriatrician provided real-time evaluations and feedback to the nurses through this virtual setup. What challenges were identified in delirium assessment? The research identified several common problems, including incorrect use of the sedation scale (RASS), improper CAM-ICU administration, inadequate knowledge of patients’ baseline cognition, inappropriate use of the “unable to assess” category, and confusion regarding the timing of assessments. What were the outcomes of using telehealth for nurse training? Post-feedback observations revealed significant improvement in nurses’ assessment accuracy. Nurses responded positively to telehealth coaching, highlighting its potential as a valuable tool for ongoing education and quality improvement in delirium screening within ICU settings (Sinvani et al., 2022). Wearable and Mobile Applications in Preventative Healthcare What multidisciplinary expertise is required for developing wearable health technologies? Developing effective wearable health devices and applications requires collaboration across various disciplines, including electronic engineering, computer science, user-centered design, psychology, health sciences, and medical fields. What types of wearable devices and biosensors are currently available? Wearable health technology encompasses consumer devices such as Apple Watches and wearable heart monitors, alongside specialized biosensors like portable electrocardiographs and physiological response patches. These devices typically connect with smartphone apps to provide real-time data visualization and analysis. What are the benefits of wearable health technologies? Wearables and mobile applications enhance patient engagement by facilitating self-monitoring of health indicators and supporting personal fitness goals. Their design focuses not only on clinical accuracy but also on user comfort, aesthetics, and ease of use. What is the future

Student Name Western Governors University D029 Informatics for Transforming Nursing Care Prof. Name Date Population Health Data Paper Introduction Highlands County, Florida, spans a considerable geographic area of 1,106 square miles, making it one of the largest counties in the state. According to the 2020 census, the population exceeds 104,000 residents. Despite its size and population density, the county’s health outcomes lag behind both Florida’s state averages and national benchmarks. This analysis explores the county’s sociodemographic composition, health indicators, and contributing factors to identify areas for targeted intervention and improvement. Sociodemographic Profile What are the primary population characteristics of Highlands County compared to national figures? The sociodemographic landscape of Highlands County reveals distinct differences when compared to the overall United States. The following table presents key data points illustrating these contrasts: Population Characteristic Highlands County (%) United States (%) Population Estimate 105,649 333,271,411 Population Growth Rate 6.3 1.0 Persons Under Age 18 16.6 27.1 Persons 65 Years and Over 36.2 17.3 Female Population 51.1 50.4 White Alone 84.7 75.5 Black or African American Alone 10.8 13.6 American Indian and Alaska Native Alone 0.8 1.3 Asian Alone 1.6 6.3 Native Hawaiian and Other Pacific Islanders Alone 0.1 0.3 Two or More Races 2.0 3.0 Hispanic or Latino 22.6 19.1 White Alone, Not Hispanic or Latino 64.3 58.9 Language Other Than English Spoken at Home (Age 5+) 20.4 21.7 Households with a Computer 91.3 94.0 High School Graduate or Higher 86.2 89.1 Disability Under Age 65 12.8 8.9 Without Health Insurance Under Age 65 19.1 9.3 Civilian Labor Force Participation (Age 16+) 43.5 63.0 Females in Civilian Labor Force (Age 16+) 40.1 58.5 Per Capita Income (Past 12 Months) $12,147 $15,224 Persons in Poverty 15.6 11.5 Population Density (per square mile) 99.5 93.8 Note: Data Source – United States Census Bureau (n.d.) What insights does this sociodemographic profile provide about Highlands County? The demographic structure of Highlands County is marked by a significantly older population, with more than 36% aged 65 and older—more than double the national average—indicating its appeal as a retirement destination. Conversely, the youth population under 18 is markedly smaller than the national proportion, which could impact community services and workforce replenishment in the future. Racially, the county is less diverse, with a higher proportion of White residents and a slightly higher Hispanic or Latino population than national averages. Economic indicators point to challenges, including lower per capita income, higher poverty rates, and a notably higher rate of residents without health insurance. Labor force participation, particularly among women, is substantially lower than national averages. Additionally, a higher prevalence of disability among those under 65 underscores the county’s healthcare needs and socioeconomic vulnerabilities. County Health Outcomes How does Highlands County perform on key health indicators relative to state and national levels? Between 2008 and 2022, several health trends in Highlands County reveal a mixed picture of progress and persistent challenges: These data suggest areas of both advancement—such as dental care and preventable hospital stays—and areas needing urgent attention, especially mammography screening rates. Health Factors What factors shape the health landscape of Highlands County in comparison with Florida and the United States? The following table highlights important health-related factors across these three geographic levels: Health Factor Highlands County (%) Florida (%) United States (%) Smoking 21 16 15 Access to Exercise Opportunities 70 87 84 Excessive Drinking 18 17 18 Primary Care Physicians (Population:1 Physician) 1720:1 1370:1 1330:1 High School Completion 84 90 86 Some College Education 50 65 68 Unemployment 4.2 2.9 3.7 Children in Single-Parent Households 26 28 25 Social Associations (per 10,000) 11.9 7.1 9.1 Children in Poverty 24 17 16 Injury Deaths (per 100,000) 120 91 80 Children Eligible for Free or Reduced-Price Lunch 66 54 51 Air Pollution (PM2.5 µg/m³) 7.5 7.8 7.4 Severe Housing Problems 12 19 17 Note: Data Source – County Health Rankings & Roadmaps (n.d.) What health strengths and challenges emerge from this data? Highlands County faces notable public health challenges such as elevated smoking rates and a high incidence of injury-related deaths, surpassing both state and national figures. These issues necessitate focused prevention and intervention strategies. On a positive note, the county demonstrates strong social capital, evidenced by higher rates of social associations per capita, suggesting active community engagement and support networks. Economic challenges remain prominent with elevated poverty rates, unemployment, and food insecurity among children, as indicated by high eligibility for free or reduced-price lunch programs. Despite these challenges, housing issues appear less severe than the state and national averages, which may suggest some relative stability in living conditions. These diverse factors underscore the complexity of health determinants in Highlands County and emphasize the need for multifaceted approaches that address both social determinants and healthcare access. Purpose of Health Factors Data Comparison Why is it important to compare county-level data with state and national benchmarks? Benchmarking local health data against broader state and national statistics provides a vital context for evaluating performance and identifying disparities. This comparative approach helps reveal gaps such as disproportionately high uninsured rates, which signal limited healthcare access and potential barriers to care (Borgschulte & Vogler, 2020). Without such comparisons, isolated data could lead to misinterpretation or underestimation of health needs. Therefore, aligning county data with wider trends enhances informed decision-making and efficient allocation of resources to improve population health. Analysis and Proposal What are the critical findings related to mammography screening, and what interventions are recommended? A significant health concern is the steep decline in mammography screening rates—from 45% in 2012 down to less than 30% in 2021. To combat this decline, introducing a Mobile Mammography Initiative is advised. This program would bring mammography services directly to underserved and rural populations, effectively reducing geographic and logistical barriers to screening (Spak et al., 2020). Mobile units can enhance accessibility, increase community awareness about breast cancer prevention, and minimize disruptions to individuals’ routines by delivering services at workplaces or residential areas. How can advanced practice nurses (APNs) contribute to the success of this initiative? APNs play a crucial

Student Name Western Governors University D029 Informatics for Transforming Nursing Care Prof. Name Date MSN Core E-Portfolio Phase 1 What is the schedule for the CPE tasks and timelines in Phase One? The first phase of the Clinical Practice Experience (CPE) involves a series of tasks with specific timelines for completion. The initial assignments consist of developing a CPE schedule table, an annotated bibliography, a narrative essay, and a technology summary. These foundational tasks are all targeted for completion by January 20, 2024. Following this, activities such as producing a GoReact video, providing peer responses, and writing a reflection summary are set for February 9, 2024. Task Estimated Time Anticipated Completion Date 1a. CPE Schedule Table 0.5 hr 1/20/2024 1b. Annotated Bibliography 4.0 hr 1/20/2024 1c. Narrative Essay 1.0 hr 1/20/2024 1d. Technology Summary 1.5 hr 1/20/2024 1e. GoReact Video 0.5 hr 2/9/2024 1e. Peer Responses 0.5 hr 2/9/2024 1f. Reflection Summary 1.0 hr 2/9/2024 What are the Phase Two tasks and their timelines? Phase Two emphasizes data summarization and the use of pivot tables to analyze various metrics such as median income, eligibility, choice, broadband availability, and air pollution by population. These tasks are designed to be concise, each requiring about half an hour, and are planned for completion by January 21, 2024. Task Estimated Time Anticipated Completion Date 2a. Summary Median Income 0.5 hr 1/21/2024 2b. Summary Eligibility 0.5 hr 1/21/2024 2c. Summary Choice 0.5 hr 1/21/2024 2d. Pivot Table: Broadband by Rural Eligibility 0.5 hr 1/21/2024 2d. Pivot Table: Air Pollution by Population 0.5 hr 1/21/2024 What does Phase Three involve? The third phase involves creating diverse graphical representations of data, including bar charts, pie charts, scatter plots, column charts, line charts, and treemaps. These visualizations help illustrate data insights clearly and are scheduled primarily for January 22 and 23, 2024. Additionally, this phase incorporates submission of a GoReact video, peer responses, and a reflection summary, all due by February 10, 2024. Task Estimated Time Anticipated Completion Date 3a. Bar Chart 0.5 hr 1/22/2024 3a. Pie Chart 0.5 hr 1/22/2024 3a. Scatter Chart 0.5 hr 1/22/2024 3a. Column Chart 0.5 hr 1/23/2024 3a. Line Chart 0.5 hr 1/23/2024 3a. Treemap Chart 0.5 hr 1/23/2024 3b. GoReact Video 0.5 hr 2/10/2024 3b. Peer Responses 0.5 hr 2/10/2024 3c. Reflection Summary 1.0 hr 2/10/2024 Annotated Bibliography on Emerging Technologies in Healthcare What are some current technologies enhancing nursing and healthcare? The annotated bibliography presents five recent peer-reviewed studies (published within the last five years) that explore innovative technologies shaping nursing and healthcare delivery. These technologies include Artificial Intelligence (AI), robotics, centralized management systems, wearable health devices, and telemedicine. Artificial Intelligence (AI) in HealthcareBajwa et al. (2021) investigate AI’s role in addressing healthcare workforce shortages by automating tasks such as documentation. They describe emerging AI applications, like “digital twins” for patient simulations, currently in trial stages. Full deployment of AI to enhance patient safety is projected within the next decade. Robotics in HealthcareMorgan et al. (2022) review the deployment of robots, especially after COVID-19, in automating repetitive duties such as medication delivery and supply transport. These robots aim to ease workforce shortages and improve hospital efficiency, though adapting to complex clinical settings remains a challenge. Centralized Management SystemsGrosman-Rimon et al. (2023) analyze hospital command centers supported by predictive analytics and real-time data to optimize patient flow. These systems coordinate bed availability, discharge processes, and inter-hospital communication, which together reduce delays and improve operational efficiency. Wearable Health DevicesLu et al. (2020) discuss the benefits of wearable devices that monitor vital signs and manage chronic diseases. These devices foster patient autonomy and enable timely clinical interventions but raise concerns regarding privacy, regulation, and equitable access. TelemedicineHaleem et al. (2021) emphasize telemedicine’s expansion during the COVID-19 pandemic, noting improved access for vulnerable groups. Limitations include challenges in conducting comprehensive physical exams remotely and reimbursement policies. Narrative Essay: Interview with a Nurse Informaticist Who was interviewed and what were their insights? Lisa Porter, MSN, RN, a leader in clinical informatics at Mass General Brigham, shared valuable experiences regarding healthcare technology management. She recounted overseeing a major Electronic Health Record (EHR) transition, noting that collaboration between the institution and vendors facilitated a smooth rollout. However, COVID-19 pandemic-related staff redeployments delayed full adoption of the new system’s advanced features. Lisa identified technologies that positively influence care delivery: patient portals, which boost engagement but sometimes confuse patients who receive lab results before clinician interpretation; and telemedicine, which enhances accessibility for seniors and individuals with transportation barriers. Looking forward, she expressed optimism about AI’s potential to alleviate documentation burdens and help patients with low health literacy by generating comprehensible summaries of visits and care plans. She stressed the critical importance of involving end-users, including patients, throughout the technology implementation process to ensure practical feedback and successful adoption. Technology Summary: Five Recommended Innovations to Enhance Nursing and Healthcare Outcomes What are the five technologies recommended for healthcare transformation? Technology Description Potential Impact Artificial Intelligence (AI) Automates documentation by analyzing clinical interactions and pre-filling notes. Reduces clinician workload and improves care efficiency. Service Robots Handles routine tasks like medication delivery, supply transport, and patient companionship. Alleviates repetitive workload and boosts patient morale. Centralized Command Centers Uses real-time data and predictive analytics to manage patient flow and hospital capacity. Enhances bed availability and reduces emergency delays. Wearable Medical Devices Enables remote monitoring of vital signs and chronic conditions for timely clinical adjustments. Promotes patient-centered care and early intervention. Telemedicine Services Facilitates remote specialist consultations for rural or resource-limited hospitals. Accelerates diagnosis and treatment, easing provider stress. GoReact Video Reflection and Peer Responses What were the key points discussed in the video reflection? The video reflection emphasized emerging healthcare technologies, particularly the role of AI in streamlining clinical documentation to reduce clinician burden. Discussion included the utility of service robots in lessening nurses’ routine workload and the value of centralized command centers for improving patient flow and reducing delays. Wearable devices were recognized for their contribution to remote monitoring and timely

Student Name Western Governors University D029 Informatics for Transforming Nursing Care Prof. Name Date Population Health Data Paper Introduction Strafford County is situated in southeastern New Hampshire, within the metropolitan area commonly known as “The Seacoast.” This region enjoys advantageous access to various natural attractions, including mountains within an hour’s drive, beaches 30 minutes away, and the major urban center of Boston approximately an hour south. Despite these geographic benefits, Strafford County ranks 8th out of 10 counties in New Hampshire for health outcomes and health factors, placing it in the lower middle range (25-50%) statewide (County Health Rankings & Roadmaps, 2024). This analysis explores the county’s population health data, sociodemographic profile, current health trends, and proposes targeted interventions aimed at enhancing public health outcomes. Sociodemographic Profile What is the demographic makeup of Strafford County compared to the United States? In 2022, Strafford County had an estimated population of 33,416, with a growth rate of 2.0%, which is notably faster than the national average growth of 0.5%. The population is predominantly White (89.1%), compared to 75.5% nationally, indicating lower ethnic diversity. Minority groups such as African Americans, Asians, and Hispanics constitute less than 10% of the population, while nationwide, minorities make up over 40%. Education levels in Strafford County are relatively high, with 96.4% of residents holding at least a high school diploma, compared to 89.1% nationally. Labor force participation also surpasses the national average, with 72.1% of individuals aged 16 and older engaged in employment or actively seeking work, versus 63.0% across the U.S. Poverty rates in the county are lower (7.6%) compared to the national rate of 11.5%, and the uninsured population under 65 years old stands at 7.1%, also below the U.S. average of 9.3%. Additionally, Strafford County has a much higher population density, with 1,224.9 persons per square mile, far exceeding the U.S. average of 93.8 persons per square mile. Population Characteristic Strafford County, NH United States Population Estimate 33,416 333,271,411 Population Percent Change 2.0% 0.5% Percent Under Age 18 17.0% 21.7% Percent Age 65 and Over 16.5% 17.3% Percent Female 50.3% 50.4% Percent White Alone 89.1% 75.5% Percent Black or African American Alone 1.3% 13.6% Percent Asian Alone 4.0% 6.3% Percent Hispanic or Latino 4.2% 19.1% Language Other than English Spoken at Home 7.6% 21.7% Percent Houses with Computer 95.7% 94.0% High School Graduate or Higher 96.4% 89.1% Percent with Disability (Under 65) 8.4% 8.9% Percent without Health Insurance (Under 65) 7.1% 9.3% Civilian Labor Force Participation (16+) 72.1% 63.0% Females in Civilian Labor Force (16+) 66.0% 58.3% Per Capita Income (Past 12 Months) $52,752 $41,261 Percent Persons in Poverty 7.6% 11.5% Population Density (per square mile) 1,224.9 93.8 Note: Data sourced from County Health Rankings & Roadmaps (2024) and U.S. Census Bureau (2024). Discussion on Sociodemographic Characteristics Strafford County’s demographic profile reflects a community with relatively rapid growth, higher educational attainment, and greater workforce engagement than national averages. The county enjoys economic advantages demonstrated by lower poverty and uninsured rates. However, the limited ethnic diversity poses potential challenges for delivering culturally competent healthcare and developing inclusive public health policies. The high population density further emphasizes the need for adequate healthcare infrastructure and service availability to meet growing demands. County Health Outcomes What are the trends in key health indicators in Strafford County? Health outcomes in Strafford County present a mixed picture relative to state and national data. For instance, alcohol-impaired driving deaths vary significantly year to year, with a concerning peak in 2013 where 56% of driving fatalities involved alcohol—far exceeding state (36%) and national (31%) percentages. Regarding sexually transmitted infections (STIs), the county experiences rates higher than both New Hampshire and national averages, although a modest decline has been observed since 2019. The uninsured population has seen improvements, yet remains lower than national levels, ranging between 8% and 15% in the county compared to 10% to 18% nationwide. The primary care physician ratio in Strafford County is approximately 1450 patients per physician, higher than New Hampshire’s 1100:1 and the national 1300:1 ratios, signaling possible access issues. Unemployment trends reflect economic cycles but show overall improvement. Child poverty rates consistently remain below national averages by 5-10%, and preventable hospital stays have been decreasing, aligning with positive trends statewide and across the country. Health Factors Influencing Strafford County Compared to State and National Data How do health factors in Strafford County compare to New Hampshire and the U.S.? Key determinants of health reveal both strengths and areas of concern for Strafford County: Health Factor Strafford County New Hampshire United States Percent Smoking 16% 15% 16% Access to Exercise Opportunities (%) 91% 84% 84% Percent Excessive Drinking 22% 20% 19% Primary Care Physicians (Population:Physician) 1,580:1 1,120:1 1,310:1 High School Completion (%) 94% 94% 89% Some College Completion (%) 72% 71% 67% Unemployment Rate (%) 3.3% 3.5% 5.4% Children in Single-Parent Households (%) 19% 19% 25% Social Associations (Per 10,000 population) 7.2 10.3 9.1 Children in Poverty (%) 10% 9% 17% Injury Deaths (per 100,000) 94 89 76 Children Eligible for Free/Reduced Lunch (%) 27% 21% 53% Air Pollution (PM2.5) 6.2 5.3 7.4 Severe Housing Problems (%) 15% 14% 17% Note: Data from County Health Rankings & Roadmaps (2024). What are the key successes and challenges identified in health factors for Strafford County? Strafford County excels in providing access to exercise opportunities (91%), educational attainment, and maintains low unemployment rates. Conversely, the community faces challenges with excessive alcohol consumption (22%), a high patient-to-primary care physician ratio indicating potential healthcare access constraints, elevated injury death rates, and fewer social associations per capita. Public health efforts should prioritize these areas to foster better health outcomes. Analysis and Proposal for Public Health Improvement What major health concern requires immediate attention in Strafford County? A critical issue in Strafford County is the rising rate of sexually transmitted infections (STIs), particularly chlamydia among adolescents and young adults aged 15-24. Chlamydia often shows minimal symptoms, leading to undiagnosed transmission and serious health consequences, including infertility (Centers for Disease Control and Prevention [CDC],