HealthProcessAI: a technical framework and proof-of-concept for LLM-enhanced healthcare process mining

Eduardo Illueca-Fernandez, Kaile Chen, Fernando Seoane, Farhad Abtahi

Open source

DOI: 10.3389/frai.2026.1716819
Published: 2026-01-30
Container: Frontiers in Artificial Intelligence
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1716819,
  title = {HealthProcessAI: a technical framework and proof-of-concept for LLM-enhanced healthcare process mining},
  author = {Eduardo Illueca-Fernandez and Kaile Chen and Fernando Seoane and Farhad Abtahi},
  year = {2026},
  journal = {Frontiers in Artificial Intelligence},
  doi = {10.3389/frai.2026.1716819},
  url = {https://doi.org/10.3389/frai.2026.1716819}
}

RIS

TY  - JOUR
TI  - HealthProcessAI: a technical framework and proof-of-concept for LLM-enhanced healthcare process mining
AU  - Eduardo Illueca-Fernandez
AU  - Kaile Chen
AU  - Fernando Seoane
AU  - Farhad Abtahi
PY  - 2026
JO  - Frontiers in Artificial Intelligence
DO  - 10.3389/frai.2026.1716819
UR  - https://doi.org/10.3389/frai.2026.1716819
ER  -

APA

Illueca-Fernandez, E., Chen, K., Seoane, F., & Abtahi, F. (2026). HealthProcessAI: a technical framework and proof-of-concept for LLM-enhanced healthcare process mining. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2026.1716819

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crossref · retrieved 2026-09-25T14:19:16.156Z