Regulatory Assessment
HL-UR-0974 PASS
NY · health · utilization review · decided 2026-10-18 23:16 UTC · Harborline Health Plan, Inc. (fictional)
On 2026-10-18, ur-auto v2.0 (a third-party system from ClinPath AI (fictional)) produced 'approve' in a NY 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 1 rule(s) in force on 2026-10-18 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 2026-10-18 for this state, line and stage. The case file is recorded all the same.
Point in time
- Law as of
- 2026-10-18
- Rules version
- 2026.10+dbe5ddf6
- Corpus snapshot
- 2026-10-30-5f07c521
- Engine
- regbench-engine/0.4.0 · deterministic-1
- Fingerprint
- e01a226b743ff1e027e7f472
- Evaluated
- 2026-10-30 11:23:25 UTC
- Exhibit C case file
- yes
Ledger
- Entry
- #974 · assessment · recorded 2026-10-18T23:19:26+00:00
- Hash
- 1c2e7f3cf9a2b96e9bf2f2c04ad3c90d3d076d4600ef4eb2b42965eed55b713f
- Previous
- 943c339c6a8df7d16733e6fe389de9e3c210c3214dcac791a0de685f187f97ad
- 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 0.022
- Human review
- none
- Adverse to consumer
- False
- Notice
- not recorded · reasons: False · specific: False · external data disclosed: False
- Appeal channel
- –
- Consumer token
- tok_cfc3064bd9