Name
Western Governors University
D029 Informatics for Transforming Nursing Care
Prof. Name
Date
What are electronic personal health records (ePHRs), and what functionalities do they offer?
Electronic personal health records (ePHRs) are secure digital platforms that provide patients with access to their medical information. These systems offer a variety of functionalities, including communication with healthcare providers, sharing of medical data, appointment scheduling, and prescription management. By enabling patients to actively engage in their health management, ePHRs promote a more patient-centered healthcare model.
What are the key factors influencing patients’ use of ePHRs?
A systematic review of 97 studies identified over 150 variables impacting ePHR usage, with 18 being particularly influential. These can be grouped into several categories:
| Factor Category | Specific Factors |
|---|---|
| Demographic | Sex, ethnicity, marital status, language, geographic location |
| Socioeconomic | Income, education level, employment status, overall socioeconomic standing |
| Health-Related | General health condition |
| Technological Access | Availability of resources, internet and computer access, internet usage frequency |
| Perceptions & Awareness | Awareness of ePHRs, perceived ease of use, perceived benefits |
| Privacy & Security | Concerns related to data privacy and security |
These determinants play a crucial role in whether patients decide to adopt and utilize ePHRs for their health management.
Why are these factors important for healthcare stakeholders?
Understanding these influencing factors is vital for healthcare providers and organizations aiming to improve ePHR adoption. By addressing demographic, socioeconomic, technological, and privacy-related concerns, stakeholders can tailor the design and communication strategies of ePHRs to meet diverse patient needs. This tailored approach enhances patient engagement and contributes to improved health outcomes (Abd-alrazaq et al., 2019).
What types of virtual simulation technologies are used in nursing education for teaching EBP?
Nursing education employs two main virtual simulation methods to teach evidence-based practice (EBP): screen-based simulations featuring avatars or live actors, and immersive virtual reality simulations (VRS) using headsets. Both simulation types create interactive clinical scenarios that allow students to practice clinical decision-making.
How do virtual simulations (VS) and virtual reality simulations (VRS) benefit nursing students?
These technologies offer a risk-free learning environment, enabling students to develop clinical decision-making skills without endangering patients. Moreover, they provide valuable clinical exposure, particularly when access to in-person clinical placements is limited. As a result, these simulations help build nursing students’ confidence and competence in applying EBP principles.
What conclusions have been drawn about integrating virtual simulations into nursing curricula?
A rapid review of 37 case studies concluded that both VS and VRS positively enhance undergraduate nursing education by improving learning outcomes related to evidence-based practice. The review advocates for the integration of these technologies into nursing curricula to better prepare students for real-world clinical challenges and promote effective EBP implementation (Cant et al., 2022).
What was the aim of developing the inpatient staffing dashboard?
The project conducted at Loma Linda University Medical Center aimed to optimize staffing management by creating a collaborative dashboard that enhances transparency and facilitates efficient allocation of staffing resources.
How was the dashboard created and implemented?
A multidisciplinary team composed of nursing staff from the staffing department and analytics experts from the Information Systems group collaborated to design and refine dashboard mockups. The final product was integrated into the Epic Hyperspace and SharePoint platforms, with access controls based on user roles.
What features are included in the dashboard?
| Dashboard Tab | Functionality |
|---|---|
| Main Page | Overview of current staffing status |
| Staffing by Labor Mix | Comparison between staffing needs and actual staffing levels |
| Productive-Nonproductive Hours | Historical and projected analysis of productive vs. nonproductive hours |
| Filled Percentage by Position | Percentage of staffing fulfillment by each role |
What was the overall impact of the dashboard?
The implementation of the dashboard increased staffing transparency and enabled leadership to make data-driven staffing decisions aligned with unit and institutional needs. This collaborative approach improved resource utilization and enhanced the quality of patient care (Role et al., 2021).
Why is delirium screening crucial in ICU settings?
Delirium is a common and severe complication affecting ICU patients. Prompt and accurate screening facilitates early diagnosis and intervention, which can mitigate complications and enhance patient outcomes.
How was telehealth applied in this study?
The study remotely observed 13 ICU nurses from multiple hospitals as they administered the Confusion Assessment Method for the ICU (CAM-ICU) via a telehealth platform. An expert geriatrician provided real-time feedback and evaluation to the nurses during the process.
What challenges were found in delirium assessments?
Common challenges included misuse of the sedation scale (RASS), incorrect administration of the CAM-ICU, insufficient knowledge of patients’ baseline cognition, inappropriate categorization as “unable to assess,” and confusion about the timing of assessments.
What were the outcomes following telehealth coaching?
Post-feedback observations showed significant improvement in the nurses’ assessment accuracy. The nurses responded positively to telehealth-based coaching, indicating its potential as an effective tool for ongoing education and quality enhancement in ICU delirium screening (Sinvani et al., 2022).
What interdisciplinary expertise is needed to develop wearable health technologies?
Creating wearable health devices and applications requires collaboration among specialists in electronic engineering, computer science, user-centered design, psychology, health sciences, and medical disciplines.
What kinds of wearable devices and biosensors are currently available?
Wearable health technologies include consumer devices such as Apple Watches and wearable heart monitors, as well as specialized biosensors like portable electrocardiographs and physiological response patches. These devices often connect to smartphone applications to provide real-time data monitoring and analysis.
What benefits do wearable health technologies offer?
These technologies improve patient engagement by facilitating self-monitoring of health parameters and supporting fitness goals. Their design balances clinical accuracy with user comfort, aesthetic appeal, and ease of use.
What are the future challenges and directions for wearable health data?
One significant challenge is the analysis and meaningful interpretation of the large volume of data generated by wearables. Future efforts will focus on converting this data into actionable insights that support preventative healthcare strategies and enhance patient outcomes (Huang, Li, & Alem, 2018).
Abd-alrazaq, A. A., Bewick, B. M., Farragher, T., & Gardner, P. (2019). Factors that affect the use of electronic personal health records among patients: A systematic review. International Journal of Medical Informatics, 126, 164–175. https://doi.org/10.1016/j.ijmedinf.2019.03.014
Cant, R., Cooper, S., & Ryan, C. (2022). Using virtual simulation to teach evidence-based practice in nursing curricula: A rapid review. Worldviews on Evidence-Based Nursing, 19(5), 415–422. https://doi.org/10.1111/wvn.12572
Role, J., Chao, H., Rosario, C., Ho, P., & Hodgkins, M. (2021). Inpatient staffing dashboard: A nursing-information technology collaborative project. Computers, Informatics, Nursing: CIN, 39(11), 772–779. https://doi.org/10.1097/CIN.0000000000000778
Sinvani, L., Hertz, C., Chandra, S., Ilyas, A., Ardito, S., & Hajizadeh, N. (2022). Using telehealth to improve the accuracy of delirium screening by bedside critical care nurses. American Journal of Critical Care, 31(1), 73–76. https://doi.org/10.4037/ajcc2022773
Huang, W., Li, J., & Alem, L. (2018). Towards preventative healthcare: A review of wearable and mobile applications. Studies in Health Technology & Informatics, 251, 11–14. https://search.ebscohost.com/login.aspx?direct=true&db=mdc&AN=29968589&site=edslive&scope=site&authtype=sso&custid=ns017578
