Mathias Brochhausen Institution-verified

Sourced from institutional research profiles (UAMS TRI or ARA).

Federal Grant PI High Impact

Researcher

Last publication 2026 Last refreshed 2026-05-22

faculty

mbrochhausen@uams.edu

21 h-index 136 pubs 1,625 cited

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Biography and Research Information

OverviewAI-generated summary

Mathias Brochhausen investigates challenges in health data integration, focusing on semantic interoperability and knowledge representation. His work addresses the need for standardized data models to facilitate computational analysis and artificial intelligence applications in precision medicine (P5 Medicine). Brochhausen has published on the application of FAIR principles to metabolomics data processing software and developed checklists for reproducible computational analysis in clinical metabolomics research. He has also explored the linguistic and ontological challenges arising from multiple domains contributing to transformed health ecosystems and assessed the need for semantic data integration for surgical biobanks.

His research extends to understanding drug interactions through minimal information models. Brochhausen is a principal investigator on federal grants, including the TIPTOE (Trauma Institutional Priorities and Teams for Outcome Efficacy) grant funded by the NIH/National Institute of General Medical Sciences for $454,259. His scholarship metrics include an h-index of 20, 132 total publications, and 1,605 total citations. He collaborates with several researchers at the University of Arkansas for Medical Sciences, including Jonathan P. Bona, Joseph Utecht, Justin M. Whorton, and Cilia E. Zayas, with whom he shares multiple publications.

Metrics

  • h-index: 21
  • Publications: 136
  • Citations: 1,625

Selected Publications

  • mcwdsi/OMRSE: v2026-04-07 (2026)
  • mcwdsi/OMRSE: v2026-04-07 (2026)
  • Enhancing Clinical Note Generation with ICD-10, Clinical Ontology Knowledge Graphs, and Chain-of-Thought Prompting Using GPT-4 (2026)
  • Generation of Interactive Knowledge Graphs to Enable Research of the Effects of Trauma Center Organization on Patient Outcomes (2025)
  • Nextflow4MS-DIAL: A Reproducible Nextflow-Based Workflow for Liquid Chromatography–Mass Spectrometry Metabolomics Data Processing (2025)
    5 citations DOI OpenAlex
  • Expanding the Ontology of Organizational Structures of Trauma Centers and Trauma Systems. (2024)
  • The Representational Challenge of Integration and Interoperability in Transformed Health Ecosystems (2024)
    2 citations DOI OpenAlex
  • The Representational Challenge for Designing and Managing 5P Medicine Ecosystems (2024)
    4 citations DOI OpenAlex
  • An Automated Workflow Composition System for Liquid Chromatography–Mass Spectrometry Metabolomics Data Processing (2023)
    1 citation DOI OpenAlex
  • Development and validation of the early warning system scores ontology (2023)
    1 citation DOI OpenAlex
  • Designing and Managing Advanced, Intelligent and Ethical Health and Social Care Ecosystems (2023)
    4 citations DOI OpenAlex
  • 235 Use of Community Review Boards to Evaluate the Utility of the ICF Navigator - A Browser-based Tool to Create Plain-Language Informed Consent Forms (2023)
    1 citation DOI OpenAlex
  • Linguistic and ontological challenges of multiple domains contributing to transformed health ecosystems (2023)
    9 citations DOI OpenAlex
  • Evaluating LC-HRMS metabolomics data processing software using FAIR principles for research software (2023)
    23 citations DOI OpenAlex
  • Guidelines for the reuse of ontology content (2023)
    4 citations DOI OpenAlex

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Federal Grants 1 $454,259 total

NIH/National Institute of General Medical Sciences Contact PI Mar 2015 - May 2027

Trauma Institutional Priorities and Teams for Outcome Efficacy (TIPTOE)

National Institute of General Medical Sciences $454,259 R01

Collaboration Network

126 Collaborators 67 Institutions 17 Countries

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