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 test interpretation: considerations in patient care.

S D Hillson1, D P Connelly

  • 1Department of Medicine, Ramsey Clinic, Minneapolis, MN.

Journal of Medical Systems
|October 1, 1992
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

Stability of dissolved and soluble Fe(II) in shelf sediment pore waters and release to an oxic water column.

Biogeochemistry·2020
Same author

Spatially complex distribution of dissolved manganese in a fjord as revealed by high-resolution in situ sensing using the autonomous underwater vehicle Autosub.

Environmental science & technology·2006
Same author

Discovery of abundant hydrothermal venting on the ultraslow-spreading Gakkel ridge in the Arctic Ocean.

Nature·2003
Same author

Effect of written and computerized decision support aids for the U.S. Agency for Health Care Policy and Research depression guidelines on the evaluation of hypothetical clinical scenarios.

Medical decision making : an international journal of the Society for Medical Decision Making·2001
Same author

Contamination of the coastal waters of Bermuda by organotins and the triazine herbicide Irgarol 1051.

Marine pollution bulletin·2001
Same author

Integrating integrated laboratory information into health care delivery systems.

Clinics in laboratory medicine·1999
Same journal

Starmate: A Lightweight AI Assistant for Autism Caregivers Developed and Evaluated Through a User-Centered Mixed-Methods Framework.

Journal of medical systems·2026
Same journal

Predicting the Predictor: Unresolved Validity Threats in LLM-Based ASA Classification.

Journal of medical systems·2026
Same journal

Development and Internal Validation of a Vectorcardiography-Augmented Model for 12-Month Major Adverse Cardiovascular Events in Chronic Heart Failure.

Journal of medical systems·2026
Same journal

Development and Validation of an Automated Acute Kidney Injury E-Alert System Integrated with Clinical Decision Support for Hospitalized Patients.

Journal of medical systems·2026
Same journal

Calibration of Self-Reported Confidence and Accuracy of Large Language Models in Medical Question Answering.

Journal of medical systems·2026
Same journal

Throughput Benchmarking and Throughput Variance Analysis to Evaluate the Efficiency of an Outpatient Endoscopy Unit.

Journal of medical systems·2026
See all related articles

Computer-assisted test interpretation (CATI) systems offer developing technologies to aid medical decisions. This study categorizes CATI by data, task, user involvement, inference, and context, evaluating benefits and drawbacks for improved healthcare.

Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Medicine
  • Clinical Decision Support

Background:

  • Computer-assisted test interpretation (CATI) represents emerging technologies aimed at enhancing medical decision-making processes.
  • Existing systems often lack a standardized framework for classification and evaluation, hindering optimal development and adoption.

Purpose of the Study:

  • To develop a comprehensive taxonomy for computer-assisted test interpretation (CATI) systems.
  • To analyze the potential benefits and disadvantages of CATI across various healthcare parameters.
  • To apply the developed taxonomy to electrocardiogram (ECG) interpretation systems and suggest future research directions.

Main Methods:

  • Development of a novel taxonomy based on key characteristics: data features, interpretive task, health professional involvement, inference mechanisms, and contextual factors.

Related Experiment Videos

  • Systematic examination of potential advantages and disadvantages, including accuracy, information management, interpretation time, patient management, communication, and cost.
  • Application of the taxonomy to existing electrocardiogram (ECG) interpretation systems.

    • Main Results:

    • The proposed taxonomy provides a structured approach to understanding and comparing diverse CATI systems.
    • Identified potential benefits include improved accuracy and efficiency, while challenges involve integration and cost.
    • ECG interpretation systems were analyzed, highlighting areas for further investigation into CATI's impact on clinical practice.

    Conclusions:

    • A robust taxonomy is crucial for the systematic development and evaluation of computer-assisted test interpretation (CATI) technologies.
    • CATI holds significant promise for enhancing medical decision support, but careful consideration of its benefits and drawbacks is essential.
    • Further research is needed to fully understand the real-world impact of CATI on patient care and healthcare systems.