Clustered 2 filings across 2 jurisdictions · filing window Jun 6, 2023 → Jul 6, 2023. View entity profile → Other incidents for this victim →
incident inc_5ae07e516d6f4fd2 · 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.
Identity (basic) · Government ID · Health (basic)
PA
Leak Site · HHS OCR
Earliest sighting first · deep chronology in Litigation Timeline
Public Health Management Corporation (PHMC) is a non-profit organisation providing public health services in Philadelphia, Pennsylvania. It was established in 1972 and has since served as a leading provider of comprehensive health and human services to individuals, families, and communities in the area.
Public Health Management Corporation (PA) reported to HHS on 2023-07-06 a Hacking/IT Incident (malware attack) affecting 206,113 individuals. Breached information located on a Network Server. PHI compromised included names, addresses, dates of birth, Social Security and driver's license numbers, claims and financial information, lab results, medications, diagnoses, and additional treatment information. The CE notified HHS, affected individuals, and the media, posted a substitute notice, and implemented additional safeguards including workforce retraining.
Affected (this filing): 206,113
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.