Inpatient telemedicine in hospitals is expanding rapidly for many reasons. Yet older solutions running on old operating systems represent a fundamental threat to the security of the hospital environment. In the next 12-24 months, it is very likely that a major hospital outage or ransomware attack will have come through their telemedicine solution. Hospital CEOs […]
This work builds on our initial research in AI computer vision in the Duke medical intensive care unit. This research demonstrated several compelling data-driven readouts of patient activity and room environment, highlighting its potential utility in sleep, sedation, agitation, and delirium
How Computer Vision and AI can create help create a virtual guardian angel for nurses.
Inpatient video has massive potential as a new form of patient monitoring and as a new kind of medical data type. One obstacle to overcome to realize this potential is the fact that video generates massive amounts of data, way more than any human can interpret (much less clinicians who are pressed for time taking care of sick patients).
