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Related Concept Videos

Nursing Evaluation01:15

Nursing Evaluation

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.
Section...
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Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis

The nursing process provides a clinical decision-making framework for patients and families to establish and implement a personalized care plan. Since part of the nurse's duties is to teach patients, the steps of the nursing process are the most effective way to approach instruction. The nursing process and the teaching-learning process are inextricably linked.
It is critical to determine the patient's learning needs during the assessment. Determination of learning needs compounds data from the...
Nursing Interventions II: Selecting and Classifying the Nursing Interventions01:29

Nursing Interventions II: Selecting and Classifying the Nursing Interventions

Creating and executing a nursing diagnosis helps nurses plan care and guide patient, family, and community interventions. They are developed based on a patient's physical evaluation and support measuring the outcomes. It is not recommended to select random interventions throughout the planning process. Instead, consider the following six essential factors when choosing interventions:
Critical Thinking I01:24

Critical Thinking I

Critical thinking helps decision-making and allows nurses to recognize barriers to success and find solutions to possible issues. It helps to brainstorm and implement ideas to achieve goals. Critical thinking helps acknowledge and state workflow inefficiencies while improving management techniques. Nurses understand the value of critical thinking and look for fellow nurses with critical thinking skills to upgrade their professional standards. Critical thinking can advance a nurse's career with...
Nurses' Legal Responsibilities I01:27

Nurses' Legal Responsibilities I

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Current Trends in Nursing II01:30

Current Trends in Nursing II

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Related Experiment Videos

Generative Artificial Intelligence Literacy Scale for Nurses: Development and Psychometric Evaluation.

Kuan-Lin Chu1,2, Ching-Ling Wang2,3, Che-Ming Chang4

  • 1Department of Nursing, Taipei Veterans General Hospital, Taipei, Taiwan.

Journal of Medical Internet Research
|July 6, 2026
PubMed
Summary
This summary is machine-generated.

A new scale, the Generative Artificial Intelligence Literacy Scale for Nurses (GenAILS), has been developed to assess nurses

Keywords:
artificial intelligencegenerative artificial intelligenceliteracynursespsychometricssurveys and questionnaires

Related Experiment Videos

Area of Science:

  • Nursing Informatics
  • Artificial Intelligence in Healthcare
  • Educational Technology

Background:

  • Generative artificial intelligence (GenAI) offers potential benefits in healthcare, including task automation and clinical decision support.
  • Nurses need specific competencies to safely and effectively integrate GenAI into practice.
  • Existing literacy assessment tools are limited, particularly for nurses' role-specific GenAI competencies like hallucination detection and ethical accountability.

Purpose of the Study:

  • To develop and psychometrically validate the Generative Artificial Intelligence Literacy Scale for Nurses (GenAILS).
  • To create a reliable and valid instrument for assessing nurses' understanding and application of GenAI.

Main Methods:

  • A two-phase, cross-sectional online survey was conducted with registered nurses in Taiwan (June-October 2025).
  • Phase 1 involved literature review, expert discussion for item generation, and content validity appraisal (content validity index > 0.78).
  • Phase 2 assessed psychometric properties including item analysis, reliability (internal consistency, split-half), construct validity (exploratory and confirmatory factor analysis), and criterion-related validity.

Main Results:

  • The initial 50-item pool was refined to a 46-item scale with a high content validity index (0.92).
  • Analysis of 1122 valid responses yielded a 24-item GenAILS across six dimensions: responsible use, updated competencies, risk identification, fundamental knowledge, critical evaluation, and ethics and law.
  • The GenAILS demonstrated excellent psychometric properties, including strong model fit in confirmatory factor analysis, good discriminant validity, moderate correlation with another AI literacy scale, and excellent reliability (Cronbach α = 0.92, McDonald ω = 0.92).

Conclusions:

  • The GenAILS is a concise, nurse-specific self-report instrument with robust psychometric properties.
  • This scale effectively measures GenAI literacy across six clinically relevant domains for nurses.
  • The GenAILS can be utilized for needs assessment, targeted training development, and evaluating interventions to promote safe and ethical GenAI use in nursing.