pith:NPIV3RXX
Multi-Agent Systems in Emergency Departments: Validation Study on a ED Digital Twin
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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Record completeness
Claims
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.
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.
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
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
· · · · ·Agent API
Verify this Pith Number yourself
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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