Clustered 2 filings across 2 jurisdictions · filing window Nov 3, 2021 → Nov 5, 2021. View entity profile → Other incidents for this victim →
incident inc_9607fc3ef53f4fc9 · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
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.
Government ID · Identity (basic)
ME NJ
HHS OCR · State AG
Earliest sighting first · deep chronology in Litigation Timeline
Jan 1, 2016 → Dec 31, 2017
When the intrusion reportedly occurred, per the linked filings
Aug 24, 2021
Reported by MAINE AG filing
University Hospital reported an insider wrongdoing incident occurring between 01/01/2016 and 12/31/2017, discovered on 08/24/2021. The breach compromised names and Social Security Numbers of 9,329 individuals, including 2 Maine residents. Notification was sent on 10/08/2021, offering one year of credit monitoring via Experian.
Affected (this filing): 9,329
University Hospital (NJ) reported to HHS on 2021-11-05 an Unauthorized Access/Disclosure affecting 10,067 individuals. A workforce member impermissibly accessed PHI including names, addresses, dates of birth, SSNs, health insurance information, diagnoses, and other treatment information stored in Electronic Medical Records. The CE sanctioned the responsible workforce member and retrained staff.
Affected (this filing): 10,067
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.