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Clinical Data Warehouse Query and Learning Tool Using a Human-Centered Participatory Design Process.

Sarah Mullin1, Jane Zhao1, Shyamashree Sinha1

  • 1University at Buffalo, The State University of New York, USA.

Studies in Health Technology and Informatics
|July 4, 2018
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Summary
This summary is machine-generated.

BMI Investigator (BMII) is a web tool for researchers to query diverse data. Its development highlights the benefits of a human-centered design process for creating efficient and usable research interfaces.

Keywords:
data warehousehealthcarehuman factorsparticipatory design

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Area of Science:

  • Biomedical Informatics
  • Health Informatics
  • Data Science

Background:

  • Researchers need efficient tools to access and analyze diverse data types, including structured, unstructured, genomic, and image data.
  • Existing data warehouses often present challenges in data accessibility and usability for a broad range of research stakeholders.
  • The integration of a learning knowledge base can enhance the utility of data querying tools.

Purpose of the Study:

  • To introduce BMI Investigator (BMII), an interactive web-based tool designed for querying complex research data.
  • To demonstrate the effectiveness of a human-centered participatory design process in developing a usable and learnable research interface.
  • To highlight the benefits of involving diverse research stakeholders in the tool development lifecycle.

Main Methods:

  • Development of an interactive, web-based tool named BMI Investigator (BMII).
  • Integration of a learning knowledge base for enhanced data querying capabilities.
  • Implementation of an iterative human-centered participatory design process.
  • Collaboration between clinicians, students, programmers, and informatics experts.

Main Results:

  • BMI Investigator (BMII) provides researchers with a unified platform to query structured, unstructured, genomic, and image data.
  • The human-centered design approach resulted in an efficient, usable, and learnable web interface.
  • The iterative process ensured the tool met the needs of a diverse group of research stakeholders.

Conclusions:

  • BMI Investigator (BMII) offers a valuable solution for researchers seeking to query complex, multi-modal data.
  • Human-centered participatory design is crucial for developing effective and user-friendly biomedical informatics tools.
  • The collaborative development model fosters innovation and ensures the practical utility of research data tools.