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Interfacing bioinstruments with computers for data collection in nursing research.

L L Harrison1

  • 1University of Alabama, Capstone College of Nursing, Tuscaloosa 35487-0958.

Research in Nursing & Health
|April 1, 1989
PubMed
Summary
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Nurse researchers can improve data collection by using computer technology and bioinstruments. This method offers advantages over manual data recording, with strategies to overcome potential disadvantages in research, such as studies on preterm infants.

Area of Science:

  • Nursing Research
  • Biomedical Engineering
  • Infant Health

Background:

  • Manual data collection in nursing research can be time-consuming and prone to errors.
  • Advancements in computer technology offer new tools for efficient and accurate data acquisition.
  • Integrating bioinstruments with computers presents opportunities and challenges for nurse researchers.

Purpose of the Study:

  • To outline the benefits of using computer technology and bioinstruments for data collection in nursing research.
  • To discuss the potential drawbacks and challenges associated with this technological integration.
  • To provide practical strategies for overcoming these disadvantages, illustrated with a case study.

Main Methods:

  • Literature review on technology in nursing data collection.

Related Experiment Videos

  • Case study analysis of a research project on parent touch and preterm infants.
  • Description of bioinstrumentation and computer interfacing for physiological data acquisition.
  • Main Results:

    • Computerized data collection offers enhanced accuracy, efficiency, and data management capabilities.
    • Potential disadvantages include initial costs, technical expertise requirements, and data security concerns.
    • The case study demonstrated successful implementation and data acquisition on infant physiological responses to touch.

    Conclusions:

    • Interfacing bioinstruments with computers provides significant advantages for nurse researchers.
    • Proactive strategies are essential to mitigate the challenges of implementing new data collection technologies.
    • This approach can lead to more robust and reliable research findings in areas like neonatal care.