Bleeping Computer: Swedish Health Agency shuts down SmiNet after hacking attempts

Bleeping Computer: Swedish Health Agency shuts down SmiNet after hacking attempts. “The Swedish Public Health Agency (Folkhälsomyndigheten) has shut down SmiNet, the country’s infectious diseases database, on Thursday after it was targeted in several hacking attempts. SmiNet, which is also used to store electronic reports with statistics on COVID-19 infections, was shut down on Thursday to investigate the attacks and was brought back online on Friday evening.”

Health IT Security: Search Engines May Expose Patient Health Information, ACR warns

Health IT Security: Search Engines May Expose Patient Health Information, ACR warns. “New search engine capabilities may inadvertently expose patient identifiers and other protected health information, according to a warning from the American College of Radiology (ACR), Radiological Society of North America (RSNA), and Society for Imaging Informatics in Medicine (SIIM) to radiologists and other medical professionals.”

EurekAlert: New machine learning method allows hospitals to share patient data — privately

EurekAlert: New machine learning method allows hospitals to share patient data — privately. “To answer medical questions that can be applied to a wide patient population, machine learning models rely on large, diverse datasets from a variety of institutions. However, health systems and hospitals are often resistant to sharing patient data, due to legal, privacy, and cultural challenges. An emerging technique called federated learning is a solution to this dilemma, according to a study published Tuesday in the journal Scientific Reports, led by senior author Spyridon Bakas, PhD, an instructor of Radiology and Pathology & Laboratory Medicine in the Perelman School of Medicine at the University of Pennsylvania.”

CNBC: Why, in the midst of a U.S. health crisis, there are major challenges for doctors to access patient records

CNBC: Why, in the midst of a U.S. health crisis, there are major challenges for doctors to access patient records. “If you want to solicit a furious stare from a doctor, ask them about their electronic medical record systems. Studies have shown that electronic health records are directly attributable to the growing problem of physician burnout because of the time spent filling out fields in these systems for hours, even after a grueling day of seeing patients. Even more troubling, doctors are still struggling to access medical information about their patients, particularly if that patient was seen at a hospital or clinic that uses a different medical record vendor.”

Becker’s Hospital Review: Vanderbilt develops EHR data-mining tool to identify disease associations

Becker’s Hospital Review: Vanderbilt develops EHR data-mining tool to identify disease associations. EHR in this case stands for Electronic Health Record. “Nashville, Tenn.-based Vanderbilt University engineers created a new tool that can identify disease co-morbidities by analyzing de-identified EHR data and medical diagnosis codes, according to a Feb. 18 news release. The toolkit, called Phenome-Disease Association Study, uses machine learning algorithms to perform association studies and identify disease co-morbidities across time in EHRs.”