Clustered 2 filings across 1 jurisdiction · filing window Oct 30, 2014 → Oct 31, 2014. View entity profile → Other incidents for this victim →
incident inc_57e8331edec34c3b · merge_method deterministic · confidence 92%
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
all HHS OCR
Earliest sighting first · deep chronology in Litigation Timeline
Memorial Healthcare System (FL) reported to HHS OCR on 2014-10-30 an Unauthorized Access/Disclosure breach affecting 1,782 individuals. Breached information was located in Email. No business associate was identified as involved. No further details are available from the HHS web description.
Affected (this filing): 1,782
Memorial Healthcare System (FL) reported to HHS on 2014-10-31 an Unauthorized Access/Disclosure affecting 1,782 individuals via Email. An employee sent a group email to current and former patients for a cancer awareness event but failed to mask recipients' email addresses, exposing names and an implicit indication of possible cancer treatment. The CE recalled the email, investigated immediately, notified HHS/patients/media, established a call center, counseled the involved employee, and revised its privacy program in March and September 2015.
Affected (this filing): 1,782
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.