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Related Experiment Videos

Data extraction and archiving for nursing research using a bedside clinical information system.

J Saville1, L Goodwin, D Bryars

  • 1Duke University Medical Center, Durham, North Carolina, USA.

Studies in Health Technology and Informatics
|December 8, 1996
PubMed
Summary
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Intensive care bedside information systems generate valuable clinical data. Innovative methods transform this raw data into usable information for research and quality improvement in intensive care units.

Area of Science:

  • Clinical Informatics
  • Health Services Research
  • Data Science in Healthcare

Background:

  • Intensive care bedside information systems generate large volumes of raw clinical data.
  • This data presents an opportunity for research and quality improvement initiatives.
  • Effective data transformation methods are needed to leverage this information.

Purpose of the Study:

  • To describe an innovative approach for transforming raw clinical data from intensive care bedside information systems into usable information.
  • To support research and quality improvement activities using transformed clinical data.
  • To address questions related to patient outcomes and care quality.

Main Methods:

  • Utilizing commercially available software and hardware tools for data extraction, processing, and archiving.

Related Experiment Videos

  • Daily extraction and processing of data from 7 intensive care units.
  • Developing methods to combine individual data elements into higher-level information.

    • Main Results:

    • A systematic process for transforming raw clinical data into a usable format was established.
    • The transformed data supports inquiries into patient outcomes and care quality.
    • The approach facilitates the use of clinical data for research and quality improvement.

    Conclusions:

    • Institution-wide intensive care bedside information systems provide a rich source of clinical data.
    • Innovative data transformation techniques are essential for maximizing the utility of this data.
    • The described methods enable the use of clinical data to enhance research and improve patient care quality.