Keeping Health Information Secure in the Cloud
Putting information in the cloud can be a good move for a physician’s practice — but only if done well.
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.
A wearable sensor featuring a personalized machine learning platform can accurately predict heart failure (HF) rehospitalization.
Telehealth interventions including text messaging and remote monitoring may improve obstetric and gynecologic outcomes, according to a recent review.
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.
To make the best use of the money they have to spend to prevent information breaches, practices need to perform a risk analysis.
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.