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Pieces Predict

Pieces Predict

Pieces Predict

By Pieces

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Pieces Predict uses artificial intelligence to predict outcomes so your health care providers can intervene early and efficiently.
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Overview



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Description

Pieces Predict is a cloud-based software platform that uses artificial intelligence, natural language processing, and clinically-reviewed algorithms to extract critical, actionable data from the full-breadth of electronic health records. By reducing manual effort, hospitals and healthcare systems can work more efficiently. Predicting outcomes leads to early detection and intervention to prevent disease and decrease patient deterioration.
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EHR integration

Integrations:

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EMR Integration & Relevant Hardware:

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EMRs Supported:

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Hardware Compatibility:

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Clients

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1 Organization
Product attributes, keywords and solutions

CATEGORIES

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KEYWORDS

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Use cases

Description

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COVID-19 use cases:
Pieces Predict has a specifically configured COVID-19 module will track potentially at-risk patients, pre and post testing; monitor patients for clinical deterioration directly in a hospital’s electronic medical record; and support resource planning and risk stratification for health system administrators. ICU triage decisions, outcomes management and capacity planning for hospitals has become a critical issue with the influx of patients with COVID-19 symptoms. The Pieces software looks at all data points, including labs, doctor’s notes, and screenings, in real time, to predict patients who may need more intensive care support, and also monitors patients as they move through the healthcare system and into the community to create a comprehensive COVID-19 registry.
Differentiators

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Differentiators vs Competitors:

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Images

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Downloads

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Company information

Founded in 2015

61.5M total equity funding

Verify your employment with a hospital or health system and see a personalized match score.
Ratings & Reviews

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  • Pediatric Facilities
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Reviewer’s Rating
5
0%
4
0%
3
0%
2
0%
1
0%

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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