Regulatory Assessment
HL-UR-0926 PASS
TX · health · utilization review · decided 2026-10-17 20:18 UTC · Harborline Health Plan, Inc. (fictional)
On 2026-10-17, ur-auto v2.0 (a third-party system from ClinPath AI (fictional)) produced 'approve' in a TX health utilization review transaction. Inputs included clinical criteria, medical records. No human reviewed the output before it took effect. The outcome was not adverse to the consumer. RegBench applied 5 rule(s) in force on 2026-10-17 and recorded no findings.
PASS: 0 finding(s) under rules 2026.10+dbe5ddf6, corpus 2026-10-30-5f07c521. No regulatory finding; the case file is recorded.
Findings (0)
No finding under the rules in force on 2026-10-17 for this state, line and stage. The case file is recorded all the same.
Point in time
- Law as of
- 2026-10-17
- Rules version
- 2026.10+dbe5ddf6
- Corpus snapshot
- 2026-10-30-5f07c521
- Engine
- regbench-engine/0.4.0 · deterministic-1
- Fingerprint
- 753ef04d1dedb2e60f2249d1
- Evaluated
- 2026-10-30 11:23:24 UTC
- Exhibit C case file
- yes
Ledger
- Entry
- #926 · assessment · recorded 2026-10-17T20:20:34+00:00
- Hash
- b3637c2244f103abbce6d6fe7a4548efa92eb344e0618dc47257855d40473330
- Previous
- e19b9637fa24b1b6ffe9f4489ee450d9962203915ec93e2065bf5973e44e3a4d
- Stored copy intact
- yes, hashes match
Carrier review
No review item: the disposition was PASS.
Recorded facts
- AI system
- ur-auto v2.0 · third party (ClinPath AI (fictional)) · high-risk class: utilization review
- Governance attested
- True
- Testing report
- test://harborline/ur-auto/2026Q2
- Model documentation
- doc://harborline/ur-auto/2.0
- Feature classes
- clinical_criteria, medical_records
- Protected factors used
- none
- External data (ECDIS)
- False
- Consumer report / credit
- False / False
- Data sources
- ehr://harborline/clinical-record
- Decision
- approve · score 0.243
- Human review
- none
- Adverse to consumer
- False
- Notice
- not recorded · reasons: False · specific: False · external data disclosed: False
- Appeal channel
- –
- Consumer token
- tok_4c7da07d7a