|Resource-Intensive Requirements:||Addressing resource-related challenges associated with observing and monitoring healthcare personnel|
|Patient Safety:||Keeping patients, guests and visitors safe, even in private rooms and facilities|
|Healthcare-Associated Infections:||Overcoming the cost and low CDC rating associated with healthcare-associated infections (HAI)|
Detects non-compliance in real-time and alerts personnel of non-compliant status in advance of patient care
Improves patient safety, outcomes and satisfaction
Enables data capture and analytics to enhance training and intervention with employees
To help partners align their IoT and Analytics capabalities with the appropriate solution path for success, Tech Data uses the following guide:
=solution track for this solution
Starter Fundamental technology knowledge and basic industry acumen is required for selling this solution. Starter solutions do not require extensive integration or customization.
Transformer Transformer solutions require an intermediate level of IoT and Analytics integration and customization for deployment. Solution providers should be versed in the industry per the identified solution use case.
Accelerator Accelerator solutions are best suited for solution providers who have an existing IoT repeatable offer and/or a mature knowledge of IoT and Analytics technologies. Solutions for this badge require niche selling experience with industry expertise.
Although measuring adherence to hand hygiene guidelines is not a simple task, a new Joint Commission standard expects all accredited healthcare providers to ensure and confirm that staff actually comply to hand hygiene requirements. By installing handwashing verification technology at all handwashing stations, healthcare providers are able to minimize the risk of non-compliance. Lidar and RFID technology can monitor the technique, length of time and insight into which caregivers are washing their hands.
Because Lidar uses lasers to capture three-dimensional representation of an object, it does not capture personally identifiable information about the people within its field of view. This allows for an array of uses where video security or video analytics would be restricted.