From Dallas Express · Dallas Express · · 1m 30s
Quest Diagnostics Reports Patient Record Intrusion
Quest Diagnostics says unauthorized access to patient records raises data security concerns after earlier breaches.
In brief
Quest Diagnostics says unauthorized access to patient records raises data security concerns after earlier breaches. Quest Diagnostics disclosed unauthorized access to patient records, but has not identified affected patients or data fields. Originally reported by Dallas Express.
Quest Diagnostics Discloses Unauthorized Access
Quest Diagnostics disclosed unauthorized access to a laboratory information system Thursday, raising fresh concerns about the security of patients’ medical records after earlier incidents exposed information involving millions of Americans.
Accessed Patient Records But Not Specified
Quest believes an intruder accessed certain patient records, but it has not established which types of information the intruder viewed.
Incident Response Procedures Launched
Quest said it launched its incident response procedures, notified federal law enforcement and engaged outside cybersecurity specialists.
No Business Disruption Confirmed
The company said the incident had not materially disrupted its business operations or its ability to serve patients.
No Affected Patients Identified
The company did not identify the number of affected patients or the data fields at issue.
Previous Data Breaches
Quest has faced previous cybersecurity incidents, including a 2016 breach affecting 34,000 people and a 2019 incident involving 11.9 million patients.
Labcorp Also Impacted
Labcorp became entangled in the 2019 American Medical Collection Agency incident, potentially exposing information for 27.5 million people across affected organizations.
Settlement with Labcorp
In September 2026, a bipartisan coalition of 44 state attorneys general announced a $2,287,455 settlement with Labcorp over the 2019 incident.
The key point
Quest Diagnostics disclosed unauthorized access to patient records, but has not identified affected patients or data fields.
