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Related Concept Videos

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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...
Integrated Healthcare System01:20

Integrated Healthcare System

An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...
Nursing Implementation01:15

Nursing Implementation

Implementation is the execution of the nursing care plan developed during the planning phase.
The five steps to implementing effective nursing care include reassessing the patient, reviewing and revising the existing nursing care plan, organizing the resources and care delivery, anticipating and preventing complications, and implementing nursing interventions.
Nursing Clinical Information System01:27

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
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Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

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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Related Experiment Videos

AI-PACE: a framework for integrating AI into medical education.

Scott P McGrath1, Katherine K Kim2, Karnjit Johl3

  • 1Center for Information Technology in the Interest of Society, University of California Berkeley, Berkeley, CA, USA. smcgrath@berkeley.edu.

NPJ Digital Medicine
|May 15, 2026
PubMed
Summary

Medical AI education needs better structure for general physicians. A new AI-PACE framework organizes artificial intelligence competencies across all medical training levels.

Related Experiment Videos

Area of Science:

  • Medical Education
  • Artificial Intelligence in Medicine
  • Health Professions Education

Background:

  • Medical AI education is fragmented and lacks structure, especially for generalist physicians.
  • Current AI training is often short-term, biased towards procedural fields, and neglects the Affective domain.
  • There is a need for a structured, longitudinal approach to AI education in medicine.

Purpose of the Study:

  • To identify structural gaps in current medical AI education.
  • To propose a novel framework for organizing AI competencies in medical education.
  • To provide a structured approach to AI training for all physician levels.

Main Methods:

  • An integrative review of 23 peer-reviewed articles published between 2016 and 2025.
  • Analysis of identified structural gaps in AI education.
  • Development of a framework based on Bloom's Taxonomy.

Main Results:

  • Identified three key structural gaps: lack of reinforcement, procedural-field bias, and under-representation of the Affective domain.
  • Proposed the AI-PACE (Psychomotor, Affective, Cognitive, Embedded) framework.
  • The framework organizes AI competencies longitudinally across undergraduate, graduate, and continuing medical education.

Conclusions:

  • The AI-PACE framework addresses identified gaps in medical AI education.
  • It offers a structured, comprehensive approach to developing AI competencies for physicians.
  • Implementation of AI-PACE can enhance AI literacy and application in clinical practice.