La Junta Nacional de Drogas (JND) es un organismo dependiente de la Presidencia de la República, de carácter interministerial encargada de definir las líneas políticas en las distintas áreas en lo que hace a la reducción de la demanda, control de...
Google Glass Features: The #IfIHadGlass campaign displays how augmented reality vision will change how medicine is practiced, along with the way you eat, diet, exercise, go shopping, and track your personal health and fitness.
The Robert Wood Johnson Foundation and the California Institute for Telecommunications and Information Technology want to help scientific researchers work with companies and individuals to make sense of the growing mounds of personal health data.
There’s an important effort underway among health care data experts to enable clinicians and medical researchers to share the same data for analytics to improve patient outcomes.
At issue is the structure of electronic health records (EHR) that were originally designed to be used in day-to-day patient care and are not set up to handle much bulkier data types such as X-ray images and genomic tests.
As a recent editorial in the Journal of the American Medical Association notes, a critical shortcoming of EHRs of today is that despite their usefulness they can’t hold and analyze much of the ancillary data that health care experts need in a timely fashion. Ancillary data could include laboratory and imaging test results. (See “Why Digital Medical Records Can’t Hold an X-Ray,” below.)
This condition persists even though available technology is already able to gather some of this information.
“EHRs were never designed to develop insights on large-scale sets of data. They help to collect information that can address inefficiencies of paper records and provide basic error-checking when you saw patients,” says Dr. Graham Hughes, chief medical officer at SAS for the SAS Center for Health Analytics and Insights. Hughes is a developmental neurobiologist and a leader in health informatics.