Medical information is especially valuable to data thieves for a number of reasons.
The biggest security risk is that legacy systems have no vendor support, putting them at heightened risk for cyberattacks.
Putting information in the cloud can be a good move for a physician’s practice — but only if done well.
Fitbit data significantly improved detection of influenza-like illness (ILI) in US patients.
Telehealth interventions including text messaging and remote monitoring may improve obstetric and gynecologic outcomes, according to a recent review.
Though HIPAA regulates how information about patients can be shared, the scope of the policy means that many newer channels fall outside of its purview.
The project, which began in New Mexico in 2003, uses videoconferencing to connect remote physicians to specialists who provide mentorship and insight into specific disease states.
The European League Against Rheumatism developed recommendations for the collection, analysis, and use of big data in rheumatic and musculoskeletal disorders.
As excitement grows around AI and the benefits it could have in healthcare, concerns remain about the technology’s pitfalls.
Crowdsourcing has been used in the health and medical research fields to potentially create low-cost, community-driven interventions.
Researchers have developed an artificial intelligence (AI)-driven, noninvasive technology that is capable of detecting nocturnal hypoglycemic events from raw ECG signals without the need for a finger-prick test.
A machine learning system can generate clinically valid alerts for medication errors that might be missed with existing clinical decision support (CDS) systems.
A research report published in the Annals of Internal Medicine described a method to record a quasi-standard electrocardiogram (ECG) using the Apple Watch.
The researchers wrote that “genetic counseling must be further explored to find an optimal balance of clinical quality with increased access and financial sustainability.”
Compared with rural counties with high broadband availability, rural counties with low broadband availability had 34% fewer telemedicine visits per capita.
Deep natural language processing may be able to estimate the presence of active cancer, cancer worsening or progression, and cancer improvement or response from radiologic reports.
Machine learning can classify participants into levels of expertise with 90 percent accuracy in a virtual reality neurosurgical tumor resection simulation.
The use of a smartphone-based progressive muscle relaxation was found to be associated with a reduction in monthly headache days and depression scores in patients with migraine.
A task force created by the European Academy of Allergy and Clinical Immunology released recommendations and an action plan for the potential of mobile health in allergology.
Years before the first closed-loop insulin delivery system was approved, patients with diabetes had already been implementing the technology into their own care.