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Risk Prediction as a Service

Risk Prediction as a Service

Risk Prediction as a Service

7 verified clients

Overview


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Avia Summary

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Risk Prediction as a Service is a solution provided by Myia Health which was founded in 2017. It belongs to multiple categories of digital health solutions including Risk Identification & Stratification, Coordinated Community Networks, Population Health Analytics, and Health Equity.
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It has 7 verified clients.
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Risk Prediction as a Service integrates with major EMRs such as Epic, Cerner, and Meditech.
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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EHR integration

None provided
Use case dependent
Epic, Cerner, Meditech, Allscripts, NextGen, athena, GE, eClinicalWorks, Other, Allscripts/Eclipsys, Athenahealth
Desktop, Mobile / Tablet (web optimized), Mobile / Tablet (native app)
Use cases and differentiators

None provided
None provided

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.

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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Reviewer’s Role
  • End user
  • Project manager
  • IT / Technical support
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Reviewer’s Org Size
  • XL ($5B+ NPR)
  • L ($3-5B NPR)
  • M ($1-3B NPR)
  • S ($0.2-1B NPR)
  • XS (< $0.2B NPR)

Reviewer’s Org EMR compatibility

Reviewer’s Org Type
  • AMC
  • Pediatric Facilities
  • ACO
  • Rural Presence

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