Virtual Eyes On Every Patient – A Guardian Angel For Nursing?
How Computer Vision and AI can create help create a virtual guardian angel for nurses.
How Computer Vision and AI can create help create a virtual guardian angel for nurses.
The use of video in the hospital creates a unique set of security challenges, and it is crucial that these challenges are met head-on to ensure the safety and privacy of patients and staff. As its usage grows, yesterday’s security through anonymity is no longer an option.
In this blog post, I review LookDeep Health’s IRB-approved collaboration with Oregon Health Sciences University (OHSU) on AI-enabled computer vision monitoring of trauma patients at-risk for delirium.
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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).
Monitoring patient activity in the ICU is essential for sedation management, identifying agitation, and diagnosing delirium. Despite its importance in ICU care, activity monitoring is intermittent, subjective, and qualitative.
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