The Work Index by Flexa

Pieces

Pieces Technologies is a healthcare AI company that uses generative AI to streamline clinician workflows and improve patient, financial, and operational outcomes.

5.9

/10

Transparency ranking

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Description

Pieces Technologies is a healthcare AI company specializing in clinical generative AI. Their mission is to use AI to help frontline care teams, including doctors, nurses, and case managers, improve patient care, reduce costs, and alleviate resource pressures. They offer a suite of products that utilize generative AI, predictive models, and machine learning to automate tasks such as clinical note generation, discharge barrier identification, and diagnosis capture.

Pieces Technologies is committed to responsible AI development and has created the Pieces SafeRead platform to ensure their AI outputs are "safe to read" and minimize the risk of hallucinations. Their platform has been implemented in several healthcare systems across the US, including Houston Methodist, Texas Health Resources, and Children's Health System of Texas. They are currently focused on expanding their reach and developing new AI solutions that can further improve healthcare outcomes.

Mission

Pieces Technologies is a healthcare AI company that develops and implements clinical generative AI solutions designed to support frontline care teams. Their mission is to improve patient care and outcomes by streamlining clinician workflows, reducing burnout, improving documentation quality, and enabling better communication. Pieces aims to reduce the time spent on tedious tasks like writing progress notes, freeing up healthcare professionals to focus on direct patient care.

Automation
Data-driven
Disruptor
Healthcare
Improving quality of life/health
Tech for good

Culture

Pieces Technologies promotes a culture of innovation and collaboration, focused on using AI to improve healthcare outcomes and ease the burdens of frontline clinicians. They value a high-impact approach, evidenced by their focus on practical applications of AI in real-world hospital settings. Their commitment to responsible AI development is evident in their emphasis on clinician oversight and safety, ensuring their solutions are safe and effective for all users.

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