Evaluation of End-User Participation in Artificial Intelligence Nursing Projects
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.This study introduces a new scale to measure end-user involvement in nursing Artificial Intelligence (AI) projects, aiming to improve AI acceptance. Project managers can use this tool to assess user participation and empowerment in AI development.
Area Of Science
- Health Informatics
- Nursing Technology
- Artificial Intelligence in Healthcare
Background
- Artificial Intelligence (AI) is increasingly relevant in healthcare, especially nursing, but faces significant user acceptance challenges.
- Enhancing end-user participation during AI development and implementation is crucial for improving acceptance rates.
- A validated measurement tool is needed to quantify end-user involvement in AI projects within nursing.
Purpose Of The Study
- To propose and develop a scale for measuring the degree of end-user participation in AI development and implementation for nursing projects.
- To assess end-user participation and empowerment activities within AI initiatives from a project manager's perspective.
- To provide a quantifiable metric for evaluating user involvement to inform future AI adoption strategies in nursing.
Main Methods
- Development and evaluation of a novel scale using the qualitative-analytical COARSE method.
- The instrument comprises 11 items across two sub-scales: 'activities for active participation of end-users' and 'empowerment activities'.
- The scale is designed to be rated by project managers overseeing AI initiatives in nursing.
Main Results
- A new 11-item scale was developed to measure end-user participation in nursing AI projects.
- The scale includes sub-scales focusing on active participation and empowerment activities.
- The study emphasizes the importance of understanding the purpose and consequences of measuring end-user participation.
Conclusions
- The developed scale offers a method for project managers to evaluate end-user participation in nursing AI projects.
- Measuring end-user participation is vital for understanding and potentially improving AI acceptance in healthcare settings.
- Future research should focus on the psychometric validation of the scale, including reliability and validity testing.
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
Related Concept Videos
Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Evaluation of the teaching process enables the nurse to determine if the patient's learning needs were met and if training was effective. If the expected outcomes are not met, the care plan is revised, and additional education or reinforcement is provided. Nurses can ask questions after the session or obtain feedback to assess the patient's understanding of the topic.
Nurses can use several methods to evaluate patient outcomes. For example, oral questions can assess cognitive learning,...
A successful patient outcome depends mainly on the evaluation stage of the nursing process. Evaluation determines effectiveness by reviewing what was done previously after the completion of nursing interventions. Every time a healthcare professional steps in or administers treatment, they must reassess or evaluate the action to ensure the intended result. During the evaluation phase, there are three probable patient outcomes:
• Improved patient's condition
...
Nurses are essential in patient care, upholding the ethical principles of their profession and effectively navigating ethical dilemmas. Neglecting ethical issues can lead to inadequate patient care, compromised therapeutic relationships, and moral distress among healthcare workers.
Ethical Concerns in Healthcare:
• Paternalism: Nurses often encounter situations where they must act without patient consent to safeguard their well-being or prevent harm. A common example occurs in cases of...