Invista Health

About Invista Health

Invista Health develops a HIPAA-compliant remote patient monitoring platform that utilizes a proprietary system of sensors and AI-powered algorithms to assess and predict health declines in at-risk patients. This technology enables real-time monitoring and early detection of adverse health events, facilitating timely interventions by clinicians and caregivers.

```xml <problem> Monitoring at-risk patients for health declines often requires in-person assessments, limiting the ability to detect subtle changes in a patient's condition between visits. This can lead to delayed interventions and increased risk of adverse health events, hospitalizations, and loss of independence, particularly for patients at home or in rehabilitation facilities. </problem> <solution> Invista Health offers a remote patient monitoring (RPM) platform that uses a system of sensors and AI-powered algorithms to continuously assess and predict health declines in at-risk patients. The platform aggregates data from various connected devices to generate an overall frailty score, enabling clinicians and caregivers to monitor trends over time. Clinically validated AI/ML algorithms analyze the data to provide early warnings about adverse events and predict risks such as hospital readmission, loss of independence, and complications from treatment. Patients and their caregivers have access to a personalized dashboard, while providers benefit from a monitoring panel across all their patients, facilitating collaborative care management and timely interventions. </solution> <features> - Patented technology (US Patent 10,937,547) for remote patient assessment using a series of sensors and clinically validated AI algorithms. - Continuous monitoring of frailty through aggregated sensor data, providing a daily score for tracking trends over time. - Clinician and caregiver alerting system that translates data into actionable insights, enabling timely interventions. - Predictive analytics tailored for specific patient populations to forecast risks such as loss of independence and hospital readmission. - Integration with various connected devices, including weight scales, pulse oximeters, thermometers, and activity bands. - HIPAA-compliant IoT cloud infrastructure for secure data transmission, storage, and processing. - Algorithms built on data collected from hundreds of patients over thousands of patient days. </features> <target_audience> The primary target audience includes clinicians, caregivers, and patients at risk of health declines, particularly those at home, recently discharged from hospitals or rehab centers, or undergoing cancer treatment. </target_audience> ```

What does Invista Health do?

Invista Health develops a HIPAA-compliant remote patient monitoring platform that utilizes a proprietary system of sensors and AI-powered algorithms to assess and predict health declines in at-risk patients. This technology enables real-time monitoring and early detection of adverse health events, facilitating timely interventions by clinicians and caregivers.

Where is Invista Health located?

Invista Health is based in Los Angeles, United States.

When was Invista Health founded?

Invista Health was founded in 2023.

Location
Los Angeles, United States
Founded
2023
Employees
2 employees

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Invista Health

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Executive Summary

Invista Health develops a HIPAA-compliant remote patient monitoring platform that utilizes a proprietary system of sensors and AI-powered algorithms to assess and predict health declines in at-risk patients. This technology enables real-time monitoring and early detection of adverse health events, facilitating timely interventions by clinicians and caregivers.

invistahealth.com50+
Founded 2023Los Angeles, United States

Funding

No funding information available.

Team (<5)

No team information available.

Company Description

Problem

Monitoring at-risk patients for health declines often requires in-person assessments, limiting the ability to detect subtle changes in a patient's condition between visits. This can lead to delayed interventions and increased risk of adverse health events, hospitalizations, and loss of independence, particularly for patients at home or in rehabilitation facilities.

Solution

Invista Health offers a remote patient monitoring (RPM) platform that uses a system of sensors and AI-powered algorithms to continuously assess and predict health declines in at-risk patients. The platform aggregates data from various connected devices to generate an overall frailty score, enabling clinicians and caregivers to monitor trends over time. Clinically validated AI/ML algorithms analyze the data to provide early warnings about adverse events and predict risks such as hospital readmission, loss of independence, and complications from treatment. Patients and their caregivers have access to a personalized dashboard, while providers benefit from a monitoring panel across all their patients, facilitating collaborative care management and timely interventions.

Features

Patented technology (US Patent 10,937,547) for remote patient assessment using a series of sensors and clinically validated AI algorithms.

Continuous monitoring of frailty through aggregated sensor data, providing a daily score for tracking trends over time.

Clinician and caregiver alerting system that translates data into actionable insights, enabling timely interventions.

Predictive analytics tailored for specific patient populations to forecast risks such as loss of independence and hospital readmission.

Integration with various connected devices, including weight scales, pulse oximeters, thermometers, and activity bands.

HIPAA-compliant IoT cloud infrastructure for secure data transmission, storage, and processing.

Algorithms built on data collected from hundreds of patients over thousands of patient days.

Target Audience

The primary target audience includes clinicians, caregivers, and patients at risk of health declines, particularly those at home, recently discharged from hospitals or rehab centers, or undergoing cancer treatment.

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