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Automating data collection, analysis & documentation for medical research

G Silverman1

  • 1Department of Electrical Engineering Manhattan College, Riverdale, New York 10471, USA.

Acupuncture & Electro-Therapeutics Research
|August 1, 1995
PubMed
Summary
This summary is machine-generated.

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Personal computers (PCs) now manage scientific and clinical data, from acquisition to storage. Visual programming simplifies these tasks, replacing complex high-level programming languages (HLLs) with intuitive icon-based interfaces for easier data management.

Area of Science:

  • Scientific computing
  • Clinical informatics
  • Data management

Background:

  • Personal computers (PCs) have become powerful and cost-effective platforms for scientific and clinical information management.
  • Traditionally, managing scientific and clinical data required expertise in high-level programming languages (HLLs).

Purpose of the Study:

  • To highlight the evolution of PCs as central tools in scientific and clinical data management.
  • To introduce visual programming as a more accessible alternative to traditional HLLs for these tasks.

Main Methods:

  • The study discusses the capabilities of PCs in instrument control, data acquisition, analysis, presentation, and storage.
  • It contrasts traditional text-based programming with modern visual programming paradigms.

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Main Results:

  • PCs can effectively perform comprehensive data management tasks, including instrument control and data acquisition.
  • Visual programming offers an intuitive, icon-based approach, simplifying complex programming actions for scientists and medical practitioners.

Conclusions:

  • PCs are integral to modern scientific and clinical data management workflows.
  • Visual programming represents a significant advancement, democratizing complex data handling tasks through user-friendly interfaces.