Akumin is a national leader in comprehensive outpatient radiology and oncology solutions and a partner of choice for U.S. hospitals, health systems and physician groups.
Clustered 4 filings across 2 jurisdictions · filing window Oct 11, 2023 → Dec 5, 2023. View entity profile → Other incidents for this victim →
incident inc_ffde0e66bfcc4754 · merge_method human · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
Gap between first leak claim and first regulatory filing
Discovery to SEC materiality determination
Materiality determination to SEC 8-K filing
Time between earliest and latest filing
FEDERAL
Leak Site · SEC 8-K
Earliest sighting first · deep chronology in Litigation Timeline
Oct 11, 2023
When the intrusion reportedly occurred, per the linked filings
Oct 11, 2023
Reported by SEC 8-K filings
Akumin is a national leader in comprehensive outpatient radiology and oncology solutions and a partner of choice for U.S. hospitals, health systems and physician groups.
Oct 16, 2023
Registrant determined the incident material — starts the SEC 4-business-day clock
On October 11, 2023, Akumin Inc., a Delaware-incorporated diagnostic imaging company, identified suspicious activity in its IT network resulting from a ransomware incident. The Company shut down systems, launched an investigation, engaged cybersecurity counsel and advisors, and notified law enforcement. The incident disrupted services to business partners; patient treatment partially resumed on October 13, 2023. Notifications to impacted business partners have begun.
Akumin Inc. disclosed that its IT network was affected by ransomware on October 11, 2023. The attacker likely accessed files containing personal data and Protected Health Information (PHI). Akumin secured networks, engaged cybersecurity counsel and advisors, and notified law enforcement. The investigation is ongoing to determine the full impact and cost.
Akumin is a national leader in comprehensive outpatient radiology and oncology solutions and a partner of choice for U.S. hospitals, health systems and physician groups.
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.