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

Patient Bed-Activities requiring immediate intervention 

Patient Bed-Activities requiring watching

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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.        

Localization enables the AI-TeleSitter to learn and incorporate unique environmental site features.

The improve best-practices and provide event documentation , AI-TeleSitter captures 2 minutes pre-event and 5 minutes post-event.

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

AI-TeleSitter generates Alerts directly to the patient's nurse and/or CNA

AI-TeleSitter can improve fall prevention rates of a hospital's existing virtual patient observation system

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 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...

​KnowFalls is an associate member of the Florida Health Care Association and
our CEO serves on the Reimbursement Committee.

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