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PiecesChat

PiecesChat

PiecesChat

6 verified clients

Overview


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Avia Summary

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PiecesChat is a solution provided by Pieces which was founded in 2015. It belongs to multiple categories of digital health solutions including Conversational AI, Artificial Intelligence (AI), and Conversational & Visual Interactive Voice Response (IVR).
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It has 6 verified clients.
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Some other resource(s) that may be helpful in learning about PiecesChat include: Digital front door: The key to staying ahead in healthcare and A buyer’s guide to conversational AI
DESCRIPTION

Pieces Chat is a patient and family communication tool integrated into the health system’s EHR patient portal. This two-way platform allows patients and families to ask unlimited questions about medical terminology, providing clear and accurate answers. By addressing routine inquiries, Pieces Chat empowers families with information while allowing physicians to focus on personalized patient care, enhancing overall communication and collaboration.

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Product capabilities

Contextual understanding

Pieces Chat supports context-aware responses by leveraging clinically approved summaries and advanced AI capabilities to understand patient inputs in the context of their medical history, current condition, and ongoing treatment plans. Integrated within the health system’s EHR, it tailors responses to align with a patient's specific circumstances, providing relevant and accurate information or advice. By synthesizing data from multiple sources, including patient records and care plans, Pieces Chat ensures that its interactions are meaningful, personalized, and aligned with the patient's care journey, enhancing both understanding and engagement.

AVIA GUIDE
What is contextual understanding?
The solution should understand and respond to patient inputs in a manner that takes the context into account, providing relevant and accurate information or advice.
EHR integration

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Use cases and differentiators

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 Deep native integration with the Electronic Health Record ensures seamless application of AI in healthcare workflows, particularly at the frontlines.

  • Insights generated in real-time at the bedside using predictive models, which are then communicated through clinical generative AI.
  • Deep native integration with the Electronic Health Record ensures seamless application of AI in healthcare workflows, particularly at the frontlines.

Company information

Founded in 2015

61.5M total equity funding

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Reviewer’s Role
  • End user
  • Project manager
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Reviewer’s Org Size
  • XL ($5B+ NPR)
  • L ($3-5B NPR)
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  • XS (< $0.2B NPR)

Reviewer’s Org EMR compatibility

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

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