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Related Experiment Video

Updated: Jun 6, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

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Published on: June 13, 2025

Theory and practice in biomedical informatics: a framework for discovery.

William W Stead1,2, Constantin F Aliferis3,4, Lisa Bastarache1

  • 1Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, 37203, United States.

Journal of the American Medical Informatics Association : JAMIA
|June 5, 2026
PubMed
Summary

Biomedical informatics (BMI) integrates knowledge across disciplines. Strengthening theoretical foundations is crucial for BMI to unlock its full potential in complex biomedicine.

Keywords:
biomedical informaticsinterdisciplinary communicationknowledge discoveryknowledge representationtheoretical foundations

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Area of Science:

  • Biomedical Informatics
  • Interdisciplinary Studies
  • Knowledge Science

Background:

  • Biomedical informatics (BMI) is emerging at the intersection of multiple scientific disciplines.
  • Understanding its disciplinary foundations and internal structure is essential for its advancement.
  • Existing frameworks may not fully capture BMI's unique contributions.

Purpose of the Study:

  • To clarify the disciplinary foundations of biomedical informatics.
  • To map the internal structure of BMI across key domains.
  • To compare BMI with related scientific fields and illustrate its emergent characteristics.

Main Methods:

  • Analysis of BMI's emergence at disciplinary intersections.
  • Mapping BMI's internal structure across four domains: knowledge discovery, representation, architecture, and transformation.
  • Comparative analysis with mathematics, computer science, biostatistics, and biomedical engineering.

Main Results:

  • BMI's core contribution lies in structuring biomedical knowledge and developing actionable methods.
  • The discipline requires strength across knowledge discovery, representation, architecture, and transformation.
  • BMI has pragmatically developed these domains through system building, principle extraction, and theory formalization.

Conclusions:

  • Biomedical informatics fosters emergent capabilities across scientific disciplines.
  • Strengthening theoretical foundations is critical for BMI to address increasing biomedical complexity.
  • BMI must demonstrate its transformative potential across diverse biological scales and temporal dimensions.