Essen Medical Associates PC is a company that operates in the Hospital & Health Care industry. It employs 101-250 people and has $5M-$10M of revenue.
Clustered 3 filings across 3 jurisdictions · filing window May 10, 2023 → Dec 29, 2023. View entity profile → Other incidents for this victim →
incident inc_fa90f6b1ed8e452f · merge_method deterministic · confidence 100%
Gap between first leak claim and first regulatory filing
Time between earliest and latest filing
Not recorded for this incident
Discovery variance · Materiality delta · SEC filing delay — no SEC 8-K in this cluster; needs two dated filings.
MT NY
Leak Site · HHS OCR · State AG
Earliest sighting first · deep chronology in Litigation Timeline
Mar 14, 2023
When the intrusion reportedly occurred, per the linked filings
Essen Medical Associates PC is a company that operates in the Hospital & Health Care industry. It employs 101-250 people and has $5M-$10M of revenue.
Essen Medical Associates, P.C. reported to HHS on 2023-05-16 a Hacking/IT Incident affecting 904,672 individuals. Breached information located on Network Server. The incident involved PHI including names, addresses, dates of birth, and Social Security numbers. The entity implemented additional administrative, technical, and security safeguards.
Affected (this filing): 904,672
Essen Medical Associates, PC reported a data breach to the Montana Attorney General. The breach was reported on 2023-12-29. The breach occurred from 3/14/2023 to 3/22/2023. 11 Montana residents were affected.
Affected (this filing): 11
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.