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Related Experiment Videos

Scaling a data retrieval and mining application to the enterprise-wide level.

D J Nigrin1, I S Kohane

  • 1Informatics Program Children's Hospital, Boston, USA.

Proceedings. AMIA Symposium
|November 24, 1999
PubMed
Summary
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This study introduces Goldminer, a user-friendly application enabling efficient retrieval and analysis of clinical and administrative data. It addresses challenges in accessing large healthcare datasets for improved institutional practices.

Area of Science:

  • Health Informatics
  • Data Science in Healthcare
  • Clinical Data Management

Background:

  • Healthcare institutions struggle with effective utilization of stored clinical and administrative data.
  • Limited availability of user-friendly tools hinders accurate and efficient data retrieval.
  • Existing tools like DXtractor are effective for specialized datasets but not enterprise-wide solutions.

Purpose of the Study:

  • To develop and describe Goldminer, a novel data retrieval and mining application.
  • To enable authorized personnel to query large clinical and demographic data stores via a non-programmer interface.
  • To address and present solutions for scaling data retrieval tools to an enterprise level.

Main Methods:

  • Development of the Goldminer application with a graphical, non-programmer interface.

Related Experiment Videos

  • Leveraging and extending the capabilities of the previously developed DXtractor tool.
  • Addressing challenges associated with scaling data retrieval solutions for enterprise-wide use.

    • Main Results:

    • Successful development of Goldminer, facilitating easier access to institutional data.
    • Demonstrated ability to query clinical and demographic data stores through an intuitive interface.
    • Identified and implemented solutions for enterprise-level data retrieval scalability.

    Conclusions:

    • Goldminer enhances institutional capacity for data-driven decision-making.
    • The application simplifies complex data retrieval processes for authorized personnel.
    • The project offers valuable insights into overcoming challenges in enterprise-wide healthcare data management.