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  Smart Fall Prediction Makes Intervention a Reality 

 AI-TeleSitter Helps You Implement Smarter Monitoring and Alert Response
Step 1:  Defining Best Practices
Nursing and/or Patient Safety Administration defines fall alert conditions
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Patient Bed-Activities requiring immediate intervention 
Patient Bed-Activities requiring watching

Step 2:  Implementing Best Practices
Defined Alerts and their components are stored within a Leading Condition Indicator Library
LCI Library
Examples of User Defined Alerts
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Step 3:  AI-Sitter Tailors AI Performance to Your Environment
KnowFalls to achieve 90+% fall prediction and to expand prediction to other events undertakes three processes.        
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Localization enables the AI-TeleSitter to learn and incorporate unique environmental site features.
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The improve best-practices and provide event documentation , AI-TeleSitter captures 2 minutes pre-event and 5 minutes post-event.
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AI-TeleSitter can be expanded to predict other behaviors such as chair exits, nurse/CNA room entry, etc.
Model Expansion Example:  By AI-TeleSitter recognizing the color of a nurse's scrubs, the Yellow Alert discussed above, changes to a No Alert condition.
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Step 4:   AI-TeleSitter can operate as standalone system or with an installed virtual patient observation system
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AI-TeleSitter generates Alerts directly to the patient's nurse and/or CNA
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AI-TeleSitter can improve fall prevention rates of a hospital's existing virtual patient observation system

 To learn more or evaluate AI-TeleSitter request a presentation & demonstration 
Contact:
Jerry Choder, Healthcare Manager
, 
c: 484.716.0609
​John Montelione
, Application Manager, c: 941.724.9700
 ​
​
Or, complete the following form...
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​KnowFalls is an associate member of the Florida Health Care Association and
our CEO serves on the Reimbursement Committee
.

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