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Related Concept Videos

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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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...
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Current Trends in Nursing II01:30

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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,...
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Patient-centered Care01:13

Patient-centered Care

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Patient-centered care involves delivering care beyond inpatient hospitalization. Reflective practice can enhance a patient-centered approach. Reflective practice is a process of reasoning that considers all aspects of the present situation, including practicalities, learning from personal practice, and consideration of patient needs. Patients appreciate care decisions made while considering their input. Involving the patient in their care provides the patient with a sense of contribution rather...
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Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

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Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
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Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

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Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
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Nursing Clinical Information System01:27

Nursing Clinical Information System

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Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
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Related Experiment Video

Updated: Feb 20, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

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Artificial intelligence in patient education: a bibliometric analysis.

Yongjun Guo1, Qi Guo2, Chen Liu3

  • 1Department of Orthopedic Surgery, Huguosi Hospital of Traditional Chinese Medicine Affiliated to Beijing University of Chinese Medicine, Beijing, China.

International Journal of Surgery (London, England)
|February 18, 2026
PubMed
Summary

Artificial intelligence (AI) is rapidly transforming patient education. This study analyzes AI in patient education, revealing key research trends, influential countries, and emerging topics like generative AI and personalized tools.

Keywords:
CitespaceVOSviewerartificial intelligencebibliometricbibliometrix Rpatient education

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Last Updated: Feb 20, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.6K

Area of Science:

  • Bibliometrics and scientometrics
  • Health informatics
  • Artificial intelligence in healthcare

Background:

  • Patient education faces significant challenges, including health literacy disparities and limited resources.
  • Artificial intelligence (AI) presents a powerful opportunity to create personalized and accessible patient education tools.
  • A comprehensive bibliometric analysis of AI in patient education is currently lacking.

Purpose of the Study:

  • To conduct a bibliometric analysis of research on artificial intelligence in patient education.
  • To identify key trends, influential contributors, and research hotspots in this rapidly evolving field.
  • To provide insights for future interdisciplinary research and development.

Main Methods:

  • Analysis of 428 English-language articles and reviews from 1995 to July 2025.
  • Data sourced from Web of Science using keywords such as "artificial intelligence" and "patient education".
  • Quantitative and network analysis performed using VOSviewer, CiteSpace, and bibliometrix.

Main Results:

  • Surgery emerged as the dominant research category.
  • Publication output shows exponential growth post-2023, with the United States leading in publications and citations.
  • Current research hotspots include generative AI (e.g., ChatGPT, large language models) and information quality (e.g., readability, health literacy).

Conclusions:

  • The application of AI in patient education is experiencing rapid advancement.
  • This bibliometric analysis highlights key growth trends, major contributors, and current research directions.
  • Future trends suggest a move towards personalized predictive tools and addressing ethical considerations.