Case Study

Fall Prevention Without Wearables or Pull Cords

Falls are still a serious problem for many senior living communities. For Ignite Medical Resorts OKC, they faced about 60 falls per month in 2022. The 75-bed community turned to KamiCare to help improve their fall prevention strategies.

Just six months after implementing the KamiCare Pilot Program, the community experienced:

  • Decreased Falls Per Month: The total number of falls per month decreased 43% by the conclusion of the pilot.
  • Fewer Overall ER Visits: There was an 18.8% reduction in overall emergency room transfers.
  • Reduced Fall-Related ER Visits: There was a 14.3% reduction in emergency room transfers based on resident falls.

Together, these changes helped Ignite Medical Resorts OKC implement personalized fall prevention plans for residents through KamiCare's "Bed Exit" feature and detailed fall analysis.

Discover how you can help better detect and prevent falls in your own senior living community.

Download the case study to explore the KamiCare difference today. 

 

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AI Technology with a Human Touch

99.9%

FALL DETECTION ACCURACY

AI + expert verification reduces false alerts & optimizes staff efficiency.

80%

FEWER FALL-RELATED ER VISITS

Data-informed fall-prevention practices reduce trips to the ER and increase resident occupancy rates.

60

SECONDS RESPONSE TIME

Immediate alerts are sent directly to experts. Staff is notified of verified falls within 1 minute.

54%

REDUCTION IN FALL RISK

See patients' fall causes with pre-fall visual playback. Adjust care plans and environmental factors accordingly.

Results from communities using KamiCare. Source: Village at Valley View Case Study.
Compare KamiCare's Vision AI to Other Types of Fall Detection
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How It Works

See How KamiCare Preserves Patients' Dignity and Privacy

KamiCare is an edge-based, vision AI fall management solution. Unobtrusive devices send anonymized images for real-time human verification. 

Improve fall response, learn how to avoid future falls, and prevent fall-related risks.

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*This figure is based on internal data of 3,700+ fall incidents in 2023 and is calculated by dividing the number of fall incidents captured via KamiCare by the number of fall incidents reported (minus those of unknown origin or caused by user error). Kami Vision’s publication of this figure does not create any warranty or guarantee, express or implied, regarding the accuracy of KamiCare. To the fullest extent permitted by law, Kami Vision will not be liable for any damages of any kind caused by or arising from the use of KamiCare.
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