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COVID Complications AlgoMarker

COVID Complications AlgoMarker

COVID Complications AlgoMarker

By Medial EarlySign

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Identifies individuals at increased risk for having severe COVID-19 complications
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Overview



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Description

EarlySign’s COVID Complications AlgoMarker Identifies individuals at increased risk for having COVID-19 complications. With the goal of prioritizing patients for COVID-19 testing and treatment, this new AlgoMarker aids in triaging patients by reducing chart review time to determine whether they are potentially at high risk for hospitalization, complications, and mortality.
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EHR integration

Integrations:

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Clients

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Use cases

Description

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COVID-19 use cases:
EarlySign’s model identifies individuals at high risk of developing complications from the Coronavirus using routine, existing EHR data. The model was developed using millions of EHR records—originally trained to predict moderate to severe flu complications —and adjusted based on global publications of COVID-19 risk factors and epidemiological records. Individuals are flagged by the model through analysis of hundreds of routine medical parameters, including demographics, admission history, prescribed medications, smoking history, and diagnoses associated with immunosuppression and chronic conditions such as respiratory and cardiac diseases.
Differentiators

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Company information

Founded in 2009

50.0M total equity funding

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Reviewer’s Role
  • End user
  • Project manager
  • IT / Technical support
  • Executive sponsor
  • Internal consultant
  • Other

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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