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Guidelines and Experience Using Imaging Biomarker Explorer (IBEX) for Radiomics
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Metadata extraction routines for improving infobutton performance.

Nathan C Hulse1, Peter J Haug

  • 1Intermountain Healthcare, Salt Lake City, UT.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|February 25, 2011
PubMed
Summary
This summary is machine-generated.

New metadata extraction routines enable patient-facing infobuttons by gathering key data from online health resources. This supports personalized health information access at the point of care.

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Area of Science:

  • Health Informatics
  • Information Science

Background:

  • Infobuttons provide context-specific links to health information at the point of care.
  • Current infobutton systems have limitations, including lack of metadata exchange, limited provider integration, and clinician-centric design.

Purpose of the Study:

  • To develop metadata extraction routines for patient-oriented infobuttons within a tethered personal health record.
  • To enable the extraction of crucial metadata from diverse online health information providers.

Main Methods:

  • Developed automated routines to extract metadata such as content coverage, language availability, and readability scores.
  • Tested extraction routines across thirty disease conditions and eight health information providers.

Main Results:

  • Successfully extracted 183 potential infobutton targets with associated metadata.
  • Demonstrated the feasibility of gathering essential metadata for patient-facing infobuttons.

Conclusions:

  • The developed metadata extraction routines are effective for enhancing infobutton functionality for patient use.
  • Future work will expand the types of metadata that can be extracted to further improve infobutton capabilities.