Project Healthcare Alumni: DARVIS Launches AI Fall Prevention Technology to Predict and Prevent Patient Falls.
June 1, 2022 / Share:
The smart, four-tiered alert system allows hospitals and senior care centers to prevent patient falls before they happen.
DARVIS, Nashville based AI technology company, has launched their Fall Prevention Product in the healthcare market with the goal of preventing patient falls entirely. Using extensive research from some of the top hospital systems around the globe, DARVIS identified the four major indicators leading up to a patient fall and created an AI powered, four-tiered alert system. The technology is able to monitor and mitigate falls so staff can focus on what matters most – patient care.
“There are products on the market that will alert staff after a fall has occurred, but we go a step beyond that. We don’t just detect the fall – we prevent it entirely. We are determined to fix a serious problem in the healthcare space that has not only major financial repercussions for the companies involved, but also causes extreme physical and emotional trauma for the patients and their families.” – Jan Schlüter, DARVIS Founder and COO
Patient falls cost hospitals an estimated cost of over $40k per patient fall, totaling approximately $40 billion direct medical cost in the US alone. This product is specifically created for hospital ICU’s, trauma wards, senior care centers and nursing homes. Using computer vision and AI, DARVIS Fall Prevention can send custom alerts to staff that a patient is displaying behaviors indicating that a fall is about to occur. This allows staff to respond and prevent the fall entirely.
To learn more about DARVIS Fall Prevention, visit darvis.com
DARVIS is a productivity as a service platform that uses AI and computer vision to provide ultimate visibility. Using camera infrastructure, we are able to convert images captured into real time data, adding a layer of intelligence into object location and status. This provides unique insights into areas of interest – enabling companies to automate, document and predict efficient flows of staff, equipment and processes.
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