Long Island Jewish Forest Hills Hospital reported a data breach to the Montana Attorney General. The breach was reported on 2021-08-05. The breach occurred from 8/23/2016 to 10/31/2017. 1 Montana residents were affected.
Affected (this filing): 1
Clustered 2 filings across 2 jurisdictions · filing window Aug 5, 2021 → Aug 6, 2021. View entity profile → Other incidents for this victim →
incident inc_5a4a769dd4fa4d4a · merge_method deterministic · confidence 100%
Time between earliest and latest filing
Not recorded for this incident
Discovery variance · Leak precedence · Materiality delta · SEC filing delay — no leak-site claim in this cluster; no SEC 8-K in this cluster; needs two dated filings.
Identity (basic) · Health (basic) · Government ID
FEDERAL MT
HHS OCR · State AG
Earliest sighting first · deep chronology in Litigation Timeline
Aug 23, 2016
When the intrusion reportedly occurred, per the linked filings
Long Island Jewish Forest Hills Hospital reported a data breach to the Montana Attorney General. The breach was reported on 2021-08-05. The breach occurred from 8/23/2016 to 10/31/2017. 1 Montana residents were affected.
Affected (this filing): 1
Long Island Jewish Forest Hills Hospital reported to HHS on 2021-08-06 that an employee impermissibly accessed the electronic medical records of 10,333 individuals. The breach, categorized as an Unauthorized Access/Disclosure, exposed a range of protected health information including names, dates of birth, addresses, Social Security numbers, and clinical data.
Affected (this filing): 10,333
About this clustering
DisclosureLens links filings into incidents through layered matchers: deterministic rules (same source document, multistate filings of one breach, tight-window same-victim pairs), a weighted-similarity scorer for cross-source candidates, and an operator review queue for everything uncertain. Each link records its own method and confidence — shown per filing in the timeline below. The system defaults to NOT merging when uncertain, because a false merge (collapsing two unrelated breaches) is more harmful than a false split (showing related filings separately); uncertain pairs route to human review instead of auto-merging. Filing summaries shown in the timeline are AI-generated extracts — verify each against its linked source.