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Risk Prediction as a Service

Risk Prediction as a Service

Risk Prediction as a Service

By Myia Health

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Overview


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About

DESCRIPTION
Predicting chronic patient health status in near real-time via an API service.
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CATEGORIES

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KEYWORDS

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CLIENTS OVERVIEW
Key Clients
Clients Your Size
USED BY
0 People
7 Organizations
EHR integration

Integrations:

None provided

EMR Integration & Relevant Hardware:

Use case dependent

EMRs Supported:

Epic, Cerner, Meditech, Allscripts, NextGen, athena, GE, eClinicalWorks, Other, Allscripts/Eclipsys, Athenahealth

Hardware Compatibility:

Desktop, Mobile / Tablet (web optimized), Mobile / Tablet (native app)

Description

Proprietary Machine Learning models through an API service to predict the temporal health status of patients living with chronic disease. Models are trained on a robust and generalizable data set, including EHR data, SDOH, and RPM data. For example, Myia can predict with 90% accuracy hospitalization risk for a polychronic population in the following risk bins: 1-14 days, 15-30 days, 31-90+ days. Our predictive services are crucial for smart triage, patient program eligibility, and cost effective scaling of virtual care and RPM. Our service can function with or without RPM data.
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Use cases

Description

None provided

Differentiators

Differentiators vs EHR Functionality:

There are no homegrown options that do all that Myia is capable of from a Clinical Perspective. Myia can be used to monitor patient data in four major settings, Inpatient, Hospital at Home, 30 Day readmit avoidance programs, long term RPM programs.

Differentiators vs Competitors:

Myia is the only RPM vendor that we are aware of with Data Scientist on staff as well as Data Analyst who work to stratify data and work with Clients to maximize the value of the Myia platform. By looking across patients clinical indication Myia can predict who should be on the program as well as whom is likely to require a hospital visit. These analytics help reduce costs and patient outcomes.

Company information

Founded in 2017

16.8M total equity funding

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