Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Computer-assisted teaching and learning in medicine.

R Klar1, U Bayer

  • 1Abteilung Medizinische Informatik, Albert Ludwigs Universität, Freiburg, F.R.G.

International Journal of Bio-Medical Computing
|July 1, 1990
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

[Adaptation to intermittent hypoxia-hyperoxia improves cognitive performance and exercise tolerance in elderly].

Advances in gerontology = Uspekhi gerontologii·2017
Same author

Therapeutic targeting of naturally presented myeloperoxidase-derived HLA peptide ligands on myeloid leukemia cells by TCR-transgenic T cells.

Leukemia·2014
Same author

Norepinephrine transporter heterozygous knockout mice exhibit altered transport and behavior.

Genes, brain, and behavior·2013
Same author

Sex hormone therapy and functional brain plasticity in postmenopausal women.

Neuroscience·2011
Same author

Fibrotest or Fibroscan for evaluation of liver fibrosis in haemophilia patients infected with hepatitis C.

Haemophilia : the official journal of the World Federation of Hemophilia·2009
Same author

[Telemedicine in Germany: status, chances and limits].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz·2009
Same journal

Nonlinear eye movement detection method for drowsiness studies.

International journal of bio-medical computing·1996
Same journal

Segmentation of auditory brainstem response signals.

International journal of bio-medical computing·1996
Same journal

A comparison of neural network and Bayes recognition approaches in the evaluation of the brainstem trigeminal evoked potentials in multiple sclerosis.

International journal of bio-medical computing·1996
Same journal

Methodology for using the UMLS as a background knowledge for the description of surgical procedures.

International journal of bio-medical computing·1996
Same journal

An MLP-based model for identifying qEEG in depression.

International journal of bio-medical computing·1996
Same journal

Guidelines for cost-effective implementation of Picture Archiving and Communication Systems. An approach building on practical experiences in three European hospitals.

International journal of bio-medical computing·1996
See all related articles

Computer-assisted instruction (CAI) systems are increasingly used in medicine, simulating patient management and physiological functions. While strong in internal medicine, CAI requires quality assessment for medical education.

Area of Science:

  • Medical Education Technology
  • Health Informatics

Background:

  • The proliferation of personal computers has driven the large-scale development of computer-assisted instruction (CAI) systems in medicine.
  • Established CAI principles include patient management simulation, mathematical modeling of physiological functions, and distinct educational/scoring modes.

Purpose of the Study:

  • To review the development and quality criteria of computer-assisted instruction (CAI) systems for medical education.
  • To highlight the current landscape of CAI programs, noting areas of strength and weakness.

Main Methods:

  • Analysis of existing CAI system structures and principles.
  • Evaluation of quality criteria for medical simulation programs, including algorithms, knowledge bases, and user interface design.
  • Assessment of program availability across medical disciplines.

Related Experiment Videos

Main Results:

  • CAI systems are widely available, particularly in internal medicine and cardiology, with US-accredited continuing medical education (CME) programs generally demonstrating high medical content quality.
  • Operative disciplines are less represented in current CAI offerings.
  • Key quality indicators for simulation programs encompass decision-making algorithms, knowledge base completeness, and software/user interface design.

Conclusions:

  • Computer-assisted instruction (CAI) is a valuable tool for enhancing clinical problem-solving skills in medical trainees.
  • CAI complements, but does not replace, traditional bedside teaching methods.
  • Further development and quality assessment are crucial for expanding CAI's utility across all medical fields.