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Related Concept Videos

Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters assessment...
Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

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Related Experiment Video

Updated: Jul 20, 2026

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

Computer use in diagnosis, prognosis, and therapy.

H M Schoolman, L M Bernstein

    Science (New York, N.Y.)
    |May 26, 1978
    PubMed
    Summary

    Computers enhance medical decision-making by organizing patient data and simulating expert reasoning. They are most effective in specific medical areas with clear data, aiding complex diagnoses.

    Area of Science:

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

    Background:

    • Physicians rely on extensive knowledge for diagnosis and treatment.
    • Information overload and cognitive limitations can impact clinical judgment.
    • Computers offer capabilities to manage and synthesize vast amounts of medical information.

    Purpose of the Study:

    • To explore the role of computers in influencing diagnostic and therapeutic decisions.
    • To evaluate the effectiveness of computer-based tools in clinical settings.
    • To assess the potential of new reasoning models for complex medical problems.

    Main Methods:

    • Review of computer applications in organizing patient data.
    • Analysis of decision analysis and patient classification systems.

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  • Examination of synthetic reasoning models simulating expert clinical behavior.
  • Main Results:

    • Computer programs effectively extend physician memory and knowledge resources.
    • Systems excel in narrow medical domains with strong pathophysiologic understanding and laboratory data.
    • Synthetic reasoning models show promise for supporting decisions in multi-disease scenarios.

    Conclusions:

    • Computers serve as valuable extensions of physician capabilities in clinical decision-making.
    • The success of computer systems is contingent on the clarity and data-driven nature of the medical domain.
    • Challenges remain regarding consensus and authority of information used in all systems.