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January 11, 2020 10:00 am

A Billion Medical Images Are Exposed Online, As Doctors Ignore Warnings

Insecure storage systems being used by hundreds of hospitals, medical offices and imaging centers are exposing over 1 billion medical images of patients across the world. "Yet despite warnings from security researchers who have spent weeks alerting hospitals and doctors' offices to the problem, many have ignored their warnings and continue to expose their patients' private health information," writes Zack Whittaker from TechCrunch. From the report: "It seems to get worse every day," said Dirk Schrader, who led the research at Germany-based security firm Greenbone Networks, which has been monitoring the number of exposed servers for the past year. The problem is well-documented. Greenbone found 24 million patient exams storing more than 720 million medical images in September, which first unearthed the scale of the problem as reported by ProPublica. Two months later, the number of exposed servers had increased by more than half, to 35 million patient exams, exposing 1.19 billion scans and representing a considerable violation of patient privacy. A decades-old file format and industry standard known as DICOM was designed to make it easier for medical practitioners to store medical images in a single file and share them with other medical practices. DICOM images can be viewed using any of the free-to-use apps, as would any radiologist. DICOM images are typically stored in a picture archiving and communications system, known as a PACS server, allowing for easy storage and sharing. But many doctors' offices disregard security best practices and connect their PACS server directly to the internet without a password. These unprotected servers not only expose medical imaging but also patient personal health information. Many patient scans include cover sheets baked into the DICOM file, including the patient's name, date of birth and sensitive information about their diagnoses. In some cases, hospitals use a patient's Social Security number to identify patients in these systems.

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