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Related Experiment Videos

DecisionNET: database/network support for clinical decision analysts.

B J Cohen1, H S Goldberg, S G Pauker

  • 1Department of Medicine, Tufts University School of Medicine-New England Medical Center, Boston, MA 02111.

Annals of the New York Academy of Sciences
|December 17, 1992
PubMed
Summary

DecisionNET aims to advance quantitative medicine by offering a remote network for accessing medical data and fostering collaboration. This initiative will enhance clinical decision-making through improved data accessibility and idea exchange among healthcare professionals.

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Area of Science:

  • Medical Informatics
  • Computational Medicine
  • Health Information Systems

Background:

  • Quantitative approaches in medicine require accessible data and collaborative platforms.
  • Existing systems may lack integrated access to diverse medical information and decision-making tools.

Purpose of the Study:

  • To propose DecisionNET, a remote network designed to foster quantitative medicine.
  • To provide rapid access to medical facts, literature, decision models, and commentary.
  • To serve as a valuable asset for clinicians involved in quantitative clinical decision-making.

Main Methods:

  • Conceptualization of a remote database/wide-area computer network.
  • Planning for integration of medical facts, literature citations, and decision models.

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  • Designing a forum for the exchange of ideas among healthcare professionals.

    • Main Results:

    • DecisionNET is expected to significantly enhance accessibility to medical data.
    • It will provide a platform for clinicians as both modelers and users.
    • The network model is adaptable for future medical knowledge bases.

    Conclusions:

    • DecisionNET offers a novel approach to cultivating quantitative medicine.
    • Improved data access and collaborative features will benefit clinical decision-making.
    • The proposed network serves as a scalable model for medical knowledge management.