Clustered 2 filings across 2 jurisdictions · filed Feb 17, 2026. View entity profile → Other incidents for this victim →
incident inc_45d1fcefd8f34ca8 · 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.
Health (basic)
GA NH
HHS OCR · State AG
Earliest sighting first · deep chronology in Litigation Timeline
May 21, 2025 → May 24, 2025
When the intrusion reportedly occurred, per the linked filings
May 22, 2025
Reported by NEW HAMPSHIRE AG filing
Emanuel Medical Center (GA) reported to HHS Office for Civil Rights on 2026-02-17 a Hacking/IT Incident affecting 28,963 individuals. Breached information was located on a Network Server. No business associate was identified as involved. No further detail is available from the HHS web description.
Affected (this filing): 28,963
Emanuel Medical Center, a Georgia-based healthcare provider, notified the New Hampshire Attorney General of a ransomware incident affecting 4 NH residents. Unauthorized access occurred May 21-24, 2025; detected May 22, 2025. Exposed data included names, SSNs, DOBs, and PHI. Notices mailed Feb 17, 2026. Response included forensic investigation, credential resets, server rebuilds, and credit monitoring offers.
Affected (this filing): 4
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.