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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.
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Related Experiment Video

Updated: May 29, 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

EMERGE-A Data-Driven Medical Decision Making Aid.

D L Hudson1, T Estrin

  • 1School of Medicine, University of California, Fresno-Central San Joaquin Valley Medical Education Program, Fresno, CA 93703.

IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 27, 2011
PubMed
Summary
This summary is machine-generated.

EMERGE is a versatile, rule-based expert system aiding medical decisions. Its design allows easy adaptation for various applications, starting with emergency room chest pain analysis.

Related Experiment Videos

Last Updated: May 29, 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

Area of Science:

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

Background:

  • Medical decision-making requires efficient tools.
  • Expert systems offer potential for aiding clinicians.
  • Existing systems may lack flexibility or have high resource demands.

Purpose of the Study:

  • To describe the EMERGE expert system.
  • To detail its control structures and rule searching.
  • To highlight its adaptability for medical decision support.

Main Methods:

  • Developed EMERGE as a machine-independent expert system.
  • Implemented in standard Pascal for broad compatibility.
  • Designed with a separate knowledge base for modularity.

Main Results:

  • EMERGE operates on microcomputers with modest memory.
  • The system is rule-based, suitable for complex analysis.
  • Knowledge base separation allows application area changes.

Conclusions:

  • EMERGE provides a flexible and accessible medical decision aid.
  • The system's architecture supports diverse clinical applications.
  • Further development can leverage its adaptable design for various medical domains.