Clustered 2 filings across 2 jurisdictions · filed Dec 28, 2023. View entity profile → Other incidents for this victim →
incident inc_647c1af054324515 · 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) · Identity (basic)
FL VT
HHS OCR · State AG
Earliest sighting first · deep chronology in Litigation Timeline
Apr 27, 2023 → May 13, 2023
When the intrusion reportedly occurred, per the linked filings
May 13, 2023
Reported by VERMONT AG filing
Electrostim Medical Services, Inc. d/b/A EMSI (FL) reported to HHS OCR on 2023-12-28 a Hacking/IT Incident affecting 542,990 individuals. Breached information was located on a Network Server. No business associate was present. No further detail was provided in the web description.
Affected (this filing): 542,990
Electrostim Medical Services, Inc. (EMSI) notified consumers of a data breach where an unknown actor accessed the network between April 27 and May 13, 2023. The incident exposed patient names, contact info, diagnoses, insurance details, and prescribed products. EMSI engaged forensic specialists, notified law enforcement and regulators, and is enhancing security. 555 Rhode Island residents were identified as affected.
Affected (this filing): 555
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.