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Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
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Representing narrative evidence as clinical evidence logic statements.

Ronilda Lacson1,2, Mahsa Eskian1, Laila Cochon1

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Authoring instructions significantly improved clinical evidence logic statements (CELS) representation accuracy by threefold. Structured evidence and specialty-trained authors further enhanced CELS accuracy, though challenges remain.

Keywords:
clinical decision supporthealth information technologyknowledge representation

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Area of Science:

  • Health Informatics
  • Clinical Decision Support
  • Knowledge Representation

Background:

  • Clinical Evidence Logic Statements (CELS) are crucial for decision support systems.
  • Standardizing CELS representation is essential for their effective use.
  • Factors influencing CELS representation accuracy require investigation.

Purpose of the Study:

  • To assess factors facilitating the representation of Clinical Evidence Logic Statements (CELS).
  • To evaluate the impact of authoring instructions on CELS accuracy.
  • To compare CELS representation accuracy based on evidence structure and author expertise.

Main Methods:

  • Researchers represented CELS from published clinical evidence.
  • Accuracy was compared pre- and post-authoring instruction intervention.
  • Statistical analyses (McNemar's, chi-squared) assessed differences based on evidence structure and author training.

Main Results:

  • CELS representation accuracy increased significantly from 8% to 24% post-intervention (P < .00001).
  • Structured evidence (278 CELS) showed higher accuracy than semistructured evidence (101 CELS) (P = .002).
  • Specialty-trained authors demonstrated higher accuracy (P = .0004).

Conclusions:

  • Authoring instructions significantly improve CELS representation accuracy.
  • Structured evidence and specialty-trained authors enhance CELS accuracy.
  • CELS representation remains a complex task requiring further optimization.