Forge the Path to Seamless Community Operations
KNOW MORE AND BE PROACTIVE, WITH AUGI
Return focus to delivering the highest standard of resident care with burden-free documentation and our privacy-first hybrid sensor
DECISION-GRADE DATA ANALYSIS FOR DIFFERENTIATED CARE
Achieve greater efficiency with increased visibility into safety, care levels and staff
Hear from Thriving Communities, Powered by Inspiren
One Integrated Solution.
Modern, Connected and Cohesive
Our Solution
Meet AUGi, Your Resident Care Companion
Built by clinicians, for care teams. Our technology tracks care activity to notice changes, send rapid alerts, and spot trends. Less tasks, more time, always at your fingertips.
HIPAA Compliant
Automated Voice
Virtual Safety Checks
Hybrid Sensing
Mobile-First App
30-Minute Install
Our Company
How We Got Started
Inspiren was not conceived from the boardroom, but from our experience at the bedside. As front-line caregivers, we embarked on a journey to eliminate preventable harm to patients and deliver smarter care, on every wall.
Resources
Keeping Residents Healthy and Staff Productive is Easy with Inspiren
See how Anthem lowered 911 calls due to fall by 83% and while developing more personalized care plans
Anthem leveraged AUGi to provide greater resident visibility, better care planning, and get measurable responses to events.
Using computer vision to assess nursing time with patients
Relevance: Nursing time with the residents has been shown to improve outcomes but precise information about how much time nurses spend with residents has been difficult to quantify. By understanding minute-by-minute. activities at the bedside over a full year using the AUGi, we were able to study full picture of nursing activity which will help us to determine how these activities affect patient outcomes.
The Potential of Technology to Describe Resident and Staff Interactions in Assisted Living Facilities
Falls are a significant financial burden and health hazard for residents in assisted living facilities (ALFs). However, limited capacity to observe residents has hindered understanding of resident–staff interactions within rooms. Our clinical team worked alongside Dr. Carolyn Sun to understand how technology can be used to take a data driven approach to nurse–resident interactions.