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Related Experiment Videos

Information overload--new technologies, can we store the data?

Veronica Wiley1, Kevin Carpenter, Bruce Bennetts

  • 1The NSW Newborn Screening Program The Children's Hospital at Westmead, Sydney, NSW, Australia.

The Southeast Asian Journal of Tropical Medicine and Public Health
|May 24, 2005
PubMed
Summary

Computerization in newborn screening requires robust data storage solutions. New technologies like tandem mass spectrometry and DNA analysis necessitate advanced systems for comprehensive data management and accessibility.

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Area of Science:

  • Biomedical Informatics
  • Clinical Chemistry
  • Genetics

Background:

  • Newborn screening programs are increasingly computerizing data management.
  • Traditional data storage methods include disorder-specific registries and comprehensive patient databases.
  • Efficient data systems are crucial for clinical reporting and quality control.

Purpose of the Study:

  • To review data storage challenges in newborn screening.
  • To discuss the impact of new analytical technologies on data management.
  • To highlight the importance of hardware and software advancements.

Main Methods:

  • Analysis of existing data storage approaches in newborn screening.
  • Evaluation of data storage needs for tandem mass spectrometry and DNA mutational analysis.

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  • Consideration of data storage strategies for comprehensive results versus final analytes.

    • Main Results:

    • Two primary data storage models exist: disorder-specific and comprehensive patient data systems.
    • Tandem mass spectrometry and DNA analysis generate large data files, posing storage challenges.
    • Decisions on storing raw data, graphical representations, or final results are critical.

    Conclusions:

    • Advancements in hardware and software are essential for incorporating new analytical technologies into newborn screening.
    • Effective data storage solutions are key to maximizing the benefits of modern newborn screening technologies.
    • Future developments must address the increasing volume and complexity of data generated.