pith:42O5NEYT
CareTransition-Audit: A Benchmark to Audit Discharge Summaries for Efficient Care Transitions
A locally deployed LLM can automatically audit discharge summaries against a structured care-transition checklist.
arxiv:2604.05435 v2 · 2026-04-07 · cs.AI
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\pithnumber{42O5NEYT4QKOXML6MGQFCFXD5E}
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Record completeness
Claims
This work demonstrates the feasibility of scalable, automated clinical auditing and provides a foundation for systematic quality improvement in electronic health record documentation.
That a locally deployed large language model can accurately and reliably identify the presence, absence, or ambiguity of key documentation elements in discharge summaries without introducing systematic errors or biases.
An LLM-based framework automates auditing of discharge summaries using a DISCHARGED-derived checklist on MIMIC-IV data to detect missing or ambiguous documentation elements.
Receipt and verification
| First computed | 2026-06-19T16:12:20.041658Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e69dd69313e414ebb17e61a05116e3e92dfd175e91254db963fcd69817586987
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/42O5NEYT4QKOXML6MGQFCFXD5E \
| 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: e69dd69313e414ebb17e61a05116e3e92dfd175e91254db963fcd69817586987
Canonical record JSON
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