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Related Concept Videos

Nursing Clinical Information System01:27

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
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.
Cost Containment
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Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

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Integrated Healthcare System

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SBAR II: Application of SBAR01:14

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Related Experiment Video

Updated: Jun 10, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

A system for building clinical research applications using semantic web-based approach.

Varadraj P Gurupur1, Murat M Tanik

  • 1Department of Electrical and Computer Engineering, University of Alabama, Birmingham, AL, USA. varadrajprabhu@gmail.com

Journal of Medical Systems
|August 13, 2010
PubMed
Summary

This study introduces a Semantic Web system to simplify clinical research application development. It addresses challenges by converting domain knowledge into machine-readable data for better information systems.

Related Experiment Videos

Last Updated: Jun 10, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Area of Science:

  • Computer Science
  • Biomedical Informatics

Background:

  • Clinical research applications face significant development challenges due to data complexity and variability.
  • Existing systems often struggle to manage the diverse information requirements of clinical research.

Purpose of the Study:

  • To present a novel system utilizing Semantic Web technologies for constructing clinical research applications.
  • To mitigate difficulties in developing clinical research information systems through an innovative approach.

Main Methods:

  • Developed a working prototype system.
  • Employed C-Map tools for knowledge representation.
  • Leveraged Abstract Software Design Framework principles.
  • Converted domain knowledge into machine-actable information.

Main Results:

  • A functional prototype demonstrating the system's capability.
  • Successful conversion of domain knowledge into a machine-interpretable format.
  • Demonstrated the potential for more effective clinical research application construction.

Conclusions:

  • The proposed Semantic Web-based system offers a viable solution for developing robust clinical research applications.
  • This approach can enhance the efficiency and effectiveness of clinical research information systems.
  • Further development can leverage this framework for advanced clinical research informatics.