Clustered 2 filings across 1 jurisdiction · filed Apr 26, 2019. View entity profile → Other incidents for this victim →
incident inc_6984195dce1549b6 · 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.
OR
HHS OCR · State AG
Earliest sighting first · deep chronology in Litigation Timeline
Nov 17, 2018 → Dec 12, 2018
When the intrusion reportedly occurred, per the linked filings
Mar 4, 2019
Reported by OREGON AG filing
Partners In Care reported a data breach to the Oregon Attorney General. The breach was reported on 2019-04-26. The breach occurred during 11/17/2018 - 12/12/2018. The breach was discovered on 3/4/2019. 3,048 individuals were affected. Notice was sent on 4/26/2019.
Affected (this filing): 3,048
Partners In Care reported to HHS on 2019-04-26 a Hacking/IT Incident affecting 3048 individuals. Breached information located on Email. An employee was the victim of an email phishing scheme exposing PHI including names, DOB, MRNs, SSNs, diagnoses, lab results, insurance info, and medications. The CE implemented safeguards and retrained staff.
Affected (this filing): 3,048
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.