Pieces

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Hospital Management?
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Clinical operations and workflow management
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Pieces Technologies (Pieces) is a healthcare artificial intelligence (AI) research and development company specializing in clinically oriented AI solutions. Their AI technology, also called "Pieces", utilizes ensemble AI methods, including natural language processing (NLP), predictive modeling, and physician-supervised machine learning. Pieces' core offerings aim to streamline clinician workflows and improve patient outcomes, financial performance, and operational efficiency.

A key product is the Pieces Working Summary, which provides AI-generated, real-time patient summaries based on current and longitudinal electronic health record (EHR) data. In January 2023, this solution went live at Houston Methodist Health System, autonomously drafting over 1 million inpatient clinical summaries with an industry-leading severe hallucination rate of less than 0.1%. The summaries reduce clinician cognitive load, align care teams, and streamline care transitions.

In November 2023, Pieces unveiled "Sculpted AI" by integrating Amazon Web Services' (AWS) generative AI services. This allows rapid, on-demand tailoring of AI solutions to health systems' specific needs, down to individual units, specialties, or physicians, while ensuring safety through adversarial AI, auto-prompt engineering, and human oversight.

Pieces has also developed AI tools for discharge identification, clinical documentation improvement, diagnosis capture, and a suite of predictive models across clinical and operational areas. In March 2022, they launched a GPT-3-enabled version of Pieces Predict, initially focused on optimizing hospital length of stay.


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Disclaimer: This company profile has been generated using data obtained through automated web searches and advanced generative AI technology. While we strive to ensure the accuracy and reliability of our sources, auto-generated information could be outdated or inaccurate and should be verified independently.
HQ location:
Irving TX USA
Founded year:
2015
Employees:
101-250
IPO status:
Private
Total funding:
USD 86.5 mn
Last Funding:
USD 25.0 mn (Series Unknown; Sep 2024)
Last valuation:
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