Integrate a KnowFalls System for $1000 per patient - 50% less than competition
Competitive central patient observation systems are selling from $2,000 to $10,000 per camera. However, the total hardware and software integration cost, for a KnowFalls Patient Observation System, is less than $1,000 per camera. This includes the KnowFalls Patient Observation software fee of $395 per camera. We're able to offer the industries lowest price HIPAA compliant system by...
- utilizing the Milestone VMS as a foundation
- adding thru the Milestone SDK best-of-breed proprietary features including a friendly user interface that automatically captures all patient activity, observer-patient interactions, an SQL data based and a reporting dashboard
- partnering with integrators rather than building a direct sales force
- supporting the latest camera technology with two-way audio communication, such as the Axis M1065
Patient Observation Starter/Evaluation Systems
As an integrator you can easily configure two starter KnowFalls Patient Observation system offerings - an 8 camera and a 24 camera system. The 8 camera system can run on a Dell Notebook with a Nvidia Geforce processor. Here's a sample configuration with a 43" monitor:
A 24 camera KnowFalls Patient Observations System utilizes a Dell Server. Here's a sample configuration...
Patient Operation System Hardware Configuration
To configure a hardware configuration, KnowFalls recommends that integrators use the Milestone system configurator. The KnowFalls Patient Observation System requires less processing than a typical video surveillance system for there is no video recording in order to maintain HIPAA compliance.
Adding the KnowFalls AI Fall Prevention Application
The App can be added to the KnowFalls Patient Observation System at any time. It can also be interface to other patient monitoring systems. The App is HIPAA compliant and is built on an advanced AI model that runs on a dedicated high performance processor - the Zotax Magnus EC52070D.
The App provides an early warning system to enable the observer to engage the patient and if necessary for the nurse to intervene. For more information access the AI Fall Prevention App page.
The App provides an early warning system to enable the observer to engage the patient and if necessary for the nurse to intervene. For more information access the AI Fall Prevention App page.
AI App Reduces Patient Observers
The App also increases observer productivity. Whereas, the industry standard for patient observers is 12 to 14 patients, the App enable one observer to monitor 24 patients. As shown below, the annual savings more than offsets the one time cost of the App and the Zotac processor.
System Design
The KnowFalls System configuration is shown below. The AI Processor (i.e. Zotac Magnus EC52070D) processes the video subchannel from the IP camera. It processes the video stream to detect a....
- Yellow Alerts - the patient behavior that precedes a bed exit attempt. It includes detection of a patient violently shaking bed rails, rapidly throwing-off bed covers, and pushing off a food tray.
- Red Alerts - the patient is undertaking a bed exit. Examples include a patient’s leg moving off the bed and the patient moving over the edge of the bed.
