Memorial Hospital at Gulfport reported a data breach to the Montana Attorney General. The breach was reported on 2019-02-15. The breach occurred from 12/6/2018 to 12/7/2018. 2 Montana residents were affected.
Affected (this filing): 2
Clustered 2 filings across 2 jurisdictions · filed Feb 15, 2019. View entity profile → Other incidents for this victim →
incident inc_9d3d7b64de8d451a · 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.
MS MT
HHS OCR · State AG
Earliest sighting first · deep chronology in Litigation Timeline
Dec 6, 2018
When the intrusion reportedly occurred, per the linked filings
Dec 6, 2018
Reported by HHS OCR filing
Memorial Hospital at Gulfport reported a data breach to the Montana Attorney General. The breach was reported on 2019-02-15. The breach occurred from 12/6/2018 to 12/7/2018. 2 Montana residents were affected.
Affected (this filing): 2
Memorial Hospital at Gulfport reported to HHS on 2019-02-15 a Hacking/IT Incident affecting 30642 individuals. Breached information located on Email. An employee responded to a phishing email, providing credentials. The attacker accessed 30,642 patient records (PHI, demographic, clinical). The entity secured the account, implemented MFA, and trained staff.
Affected (this filing): 30,642
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.