InVista Health proprietary system that uses series of sensors and clinically validated AI powered algorithms to provide a HIPAA compliant remote patient monitoring eco system for patients, clinicians and caregivers. The system monitors and captures changes within an individual or a group of patients to risk stratify patients and to provide early warnings about adverse events.
Remote monitoring of at-risk patients at home and rehabilitation facilities
Monitoring & assessing frailty
Critical for maintaining independence and reducing hospitalizations
Our system aggregates information gathered through sensors to create an overall score. Monitoring daily, the score can be used to compare day-to-day and week-to-week trends over time as a marker for frailty in at-risk individuals.
Alerting clinicians
& caregivers
Translating Data into Action
Using our system, patients and their designated caregivers have access to a personalized dashboard. Additionally, providers and care planners benefit from a monitoring panel across all their patients. This allows for patients, caregivers, and providers to work collectively as a team to manage care as well as providing alerts that can translate into important health actions.
Predicting decline
Early warning of decline to help improve care
Our AI powered system can be tailored for specific patient population to develop predictions, meaningful to patients, caregivers and providers, such as loss of independence, hospital readmission, and risk of complications or toxicity from treatment.
Rehabilitation
Seamless, yet ubiquitous assessment
Invista Health sensors and predictive algorithms can provide additional insight into the recovery process of patients receiving rehabilitation by characterizing patients’ progress or decline.
OUR TECH
A remote patient monitoring platform with proprietary and clinically validated AI/machine learning algorithms to identify at-risk patients
One technology, different tools
WEIGHT SCALE
PULSE OXIMETER
THERMOMETER
ACTIVITY BAND
PATENTED
TECHNOLOGY
Proprietary method of subject assessment
CLINICALLY
VALIDATED
In over hundreds of high risk patients, at-home or recently discharged from hospitals, rehab centers, and/or undergoing cancer treatment
AI MODELS
BUILT ON
Data collected from hundreds of patients in thousands of patient days
HIPAA
COMPLIANT
Sensors, Devices, Data and Algorithms all encapsulated within a HIPAA compliant IoT cloud infrastructure
