Faculty, Staff and Student Publications

Language

English

Publication Date

1-1-2026

Journal

Acta Astronautica

DOI

10.1016/j.actaastro.2025.08.023

PMID

41415699

PMCID

PMC12710765

PubMedCentral® Posted Date

12-21-2025

PubMedCentral® Full Text Version

Author MSS

Abstract

NASA and commercial space flight companies expect to make long-term missions into deep space with the Artemis project and Mars mission. Health care in deep space is a priority as the missions require limited crew and equipment to accommodate astronauts' needs. Analyzing the probable clinical procedures and workflows for this setting is needed to ensure quality care and safety. This paper introduces Business Process Modeling and Notation (BPMN) and OWL2-based modeling to represent aerospace dental workflows for low-earth orbit and potential deep space missions. We developed BPMN process models and created ontology-based knowledge graph representations for individual dental procedures using a semi-automated processing pipeline. The output of this project yielded four OWL2-based knowledge graphs that describe semantic descriptions of a dental abscess, extractions, dislodged restorations, and dental trauma. With computable knowledge graphs of these processes, we can integrate these models for software applications for remote clinical tools, like decision support systems. Future work will involve extending these prototype knowledge graphs and developing knowledge base applications that leverage these process artifacts.

Keywords

Dental emergencies, Aerospace dentistry, Process modeling, Health informatics, Knowledge graphs, Ontology

Published Open-Access

yes

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