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A multi-site cognitive task analysis for biomedical query mediation.

Gregory W Hruby1, Luke V Rasmussen2, David Hanauer3

  • 1Department of Biomedical Informatics, Columbia University, New York, NY, USA.

International Journal of Medical Informatics
|July 21, 2016
PubMed
Summary
This summary is machine-generated.

This study developed a standardized Biomedical Query Mediation (BQM) process model using cognitive task analysis across multiple sites. The model enhances EHR data retrieval efficiency and accuracy for medical researchers.

Keywords:
Electronic health recordsInformation storage and retrievalTask performance and analysis

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Area of Science:

  • Health Informatics
  • Data Science
  • Information Retrieval

Background:

  • Biomedical Query Mediation (BQM) is crucial for Electronic Health Record (EHR) data retrieval.
  • Standardization of BQM processes is needed to improve communication efficiency and accuracy.

Purpose of the Study:

  • To develop a generic BQM process model using cognitive task analyses.
  • To standardize BQM processes across multiple institutions for EHR data retrieval.

Main Methods:

  • Conducted semi-structured interviews and cognitive task analyses with data analysts from diverse institutions.
  • Developed and refined a coding schema to annotate interview transcripts.
  • Reconstructed, verified, and harmonized BQM processes into a hierarchical model.
  • Evaluated model validity through a survey.

Main Results:

  • A harmonized, hierarchical BQM process model was developed, detailing tasks, activities, and steps.
  • Face validity confirmed the model's representativeness of BQM processes.
  • Content validity evaluation identified 19 semi-valid and 3 fully valid BQM tasks.

Conclusions:

  • The developed BQM process model is based on a multi-site study.
  • The model shows promise for standardizing BQM processes, improving communication efficiency and accuracy in EHR data retrieval.