ClinicalTrials.gov
public full text
Public Domain
Exploring Nursing Students' Ability to Create Artificial Intelligence-Enhanced Patient Education Materials on Infection Care
The purpose of this study is to explore the ability of nursing students to create artificial intelligence-supported patient education materials regarding infection care. This study will be conducted as a randomized controlled experimental study. Data of the study will be collected with the Descriptive Characteristics Form, Patient Education Information Form and Patient Education Materials Assessment Tool (HEMDA).
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Artificial intelligence in clinical and genomic diagnostics#964320
- A Clinical-Operational Framework for Responsible Artificial Intelligence Use in Infection Risk Management Among Immunosuppressed Patients: A Technical Report.#342565
- Artificial intelligence in HIV research, policy, and clinical care.#1039958
- Artificial intelligence in orthopaedics: Enhanced examinations, ambient intelligence and the future of clinical practice.#143226
- THE ROLE OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE: A SYSTEMATIC REVIEW OF APPLICATIONS AND CHALLENGES#976438
Record · ID 812885
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive