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pith:2026:NPIV3RXXOHDXYX5QIFA23XAZKC
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Multi-Agent Systems in Emergency Departments: Validation Study on a ED Digital Twin

Dorothea Sauer, Horst K. Hahn, Jessika Kress, Markus Wenzel, Nele Gessler, Tobias Strapatsas

A hybrid DES-ABM simulation of emergency departments replicates real-world performance under established resource optimization strategies.

arxiv:2605.13345 v1 · 2026-05-13 · cs.AI · cs.MA

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Claims

C1strongest claim

Comparing the documented real-world outcomes with our model's results demonstrates that the DES-ABM based simulation can effectively replicate real-world ER dynamics under interventions.

C2weakest assumption

That matching key performance indicators with values from the literature is sufficient to validate the model for exploring new interventions, and that configurations derived from real-world studies accurately capture the variability and dynamics of actual emergency departments.

C3one line summary

A hybrid DES-ABM digital twin for emergency departments validated against literature KPIs and extended with a MAS proof-of-concept for autonomous resource strategy exploration.

References

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[1] [Aikenet al., 2002 ] Linda H. Aiken, Sean P. Clarke, Douglas M. Sloane, Julie Sochalski, and Jeffrey H. Silber. Hospital nurse staffing and patient mortality, nurse burnout, and job dissatisfaction.JA 2002
[2] Ready-jet-go: split flow accelerates ed through- put.Journal of Emergency Nursing, 42(1):35–42, 2016
[3] Impact of a planned workflow change: Super track improves quality and service for low-acuity patients at an inner-city hospital.Journal of Emergency Nursing, 43:114–125, 3 2017
[4] Buerhaus, Karen Donelan, Beth T 2007
[5] [Centenoet al., 2013 ] Ana Paula Centeno, Richard Martin, and Robert Sweeney. Redsim: A spatial agent-based simulation for studying emergency departments.Proceedings of the 2013 Winter Simulation Conf 2013
Receipt and verification
First computed 2026-05-18T02:44:48.343508Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

6bd15dc6f771c77c5fb04141addc1950b284eb3fcaf456411518fc3b5158c966

Aliases

arxiv: 2605.13345 · arxiv_version: 2605.13345v1 · doi: 10.48550/arxiv.2605.13345 · pith_short_12: NPIV3RXXOHDX · pith_short_16: NPIV3RXXOHDXYX5Q · pith_short_8: NPIV3RXX
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/NPIV3RXXOHDXYX5QIFA23XAZKC \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 6bd15dc6f771c77c5fb04141addc1950b284eb3fcaf456411518fc3b5158c966
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-05-13T11:04:23Z",
    "title_canon_sha256": "f672b98dc8376458587c9f61d30c7aee29d517702d374179f7332f8796e80c62"
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