Cognosos, Inc., a leading Real-Time Location Services (RTLS) provider has introducted LocationAI, a highly-accurate, machine learning-powered location engine, into its asset tracking platform for hospitals and healthcare facilities.
Ushering in the next generation of RTLS, this cutting-edge technology achieves room-level accuracy, without disturbing clinical workflows with complex installation processes or the need to place hardware in patient rooms that are typical with other systems.
With LocationAI™, mobile assets can be located with precision, in perpetuity, thanks to a powerful, and responsive algorithm that continues to monitor and adjust to changes in environment, providing a self-healing tracking solution that protects against accuracy fade over time.
Additionally, with Cognosos’ LocationAI technology, healthcare facilities benefit from a self-healing network that monitors and responds to environmental changes like construction or infrastructure adjustments, eliminating network decay and maintaining accuracy and reliability over time.
Location Intelligence: Responsive and sustainable network accuracy
• High-confidence room level accuracy at the time of implementation and beyond
• Eliminates network decay by being responsive to changes in environmental factors, like
infrastructure changes to the facility and equipment changes or movement
• Provides uninterrupted support for mission-critical asset location applications
Room-level accuracy without the room-level infrastructure
• In-room accuracy not dependent on doors being open or closed, hardware placed in patient rooms,
or the availability of power outlets for hardware
• Long-range indoor networking technology combined with machine learning provides precise asset
location
• Locate medical equipment across your entire facility, including patient rooms, supply closets,
hallways quickly and efficiently
• Minimal footprint required to create a high quality location network
Minimize disruption; deploy in record time
• Battery operated tags and beacons eliminate cable pulls, ceiling tile moves and any associated
abatement costs
• Reduces overall TCO and maximized ROI by minimizing installation timelines, labor costs and the
support needed from functional teams, like IT or Nursing
• No interruptions to patient or clinical workflows, like IT or clinical staff, due to construction or the
need to vacate patient rooms for equipment placement
Cognosos’ LocationAI technology leverages powerful machine-learning algorithms that classify which room objects are in. In just the same way that an image-recognition algorithm can be trained to recognize specific images, so too can the LocationAI algorithm, enabling it to recognize when an asset is in Room 1 versus Room 2. More than this, LocationAI continuously updates its learned classifications so it gets better over time.
“We’re excited to introduce the healthcare industry to a new era of RTLS technology,” said Adrian Jennings, Chief Product Officer at Cognosos. “Cognosos leverages the advancements in Cloud, AI and Machine Learning to redefine what should be expected from asset tracking solutions: room-level accuracy without room-level infrastructure. Our technology eliminates several shortcomings of previous generation RTLS solutions by drastically reducing the amount of hardware needed to achieve room-level accuracy, and eliminating costly network decay. In turn, total cost of ownership and installation timelines are reduced, while ROI, accuracy and ease-of-use are maximized.”
According to Health Facilities Management’s 2021 Hospital Construction Survey, 87% of respondents had one non-temporary construction project planned. Though often overlooked, the impact of construction and changes to the infrastructure throughout a hospital can wreak havoc on RTLS networks causing loss of asset visibility and a substantial decline in accuracy. Cognosos’ LocationAI technology establishes intelligent and reliable location visibility that responds to physical changes to enable ongoing accuracy and uninterrupted support for mission-critical asset location applications.
“The past two years have demonstrated how flexible healthcare facilities need to be,” continued Jennings. “The ability for a system to respond to environmental changes – and even give providers the means to create rooms and zones on the fly – is a powerful tool that enables greater responsiveness and agility, which ultimately supports a better patient experience.”