Pieces Technologies achieves a major milestone: 1 million autonomously written inpatient clinical summaries

Help your healthcare teams get stuff done.

Pieces applies generative AI technology to support and augment healthcare teams. We help healthcare providers make informed decisions more quickly, enabling them to help improve patient care and outcomes while reducing costs and manual effort, and alleviating resource pressures.

Support for health system initiatives:

  • Increasing capacity with hospital capacity management
  • Reducing excess length of stay and readmission
  • Retaining and attracting providers by improving clinician experiences
  • Improving patient outcomes
  • Lowering the cost of care 

Pieces Predict™

Pieces Predict augments and supports care teams with features like AI auto-generated patient summaries and clinical insights directly in their EHR patient lists that reduce EHR friction, align care teams, and support care transitions and handovers.

Automated Patient Summaries

Support increasing provider satisfaction and enable earlier interventions for better patient outcomes with AI-generated patient summaries.

We work with these organizations

The Pieces Difference

We bring a unique set of skills and expertise to everything we do.
These aspects combine to create the Pieces Difference.

advanced technology and clinical expertise

Hard Facts


of long-term health is determined by factors outside the doctor’s office.

People don’t stay healthy by spending more time at the doctor’s office. People’s health is mostly determined by the everyday factors in their lives.


of the available information in health records is hidden in the notes.

Without the ability to read clinician notes and other unstructured data in the Electronic Health Record, only about half of the information becomes actionable data.

3x higher

People with multiple social issues are three times more likely to be readmitted to the hospital.

Social Determinants of Health (SDoH) are at the heart of our algorithms to create more accurate predictions of needed interventions and ongoing community-based care.

Our recent thoughts

Here are some things we have been working on.

Reducing excess length of stay is an important goal for many health systems. Decreasing avoidable hospital stay days can result in lower costs and an improved patient experience. Learn more in our latest case study how one private non-profit teaching hospital experienced a .2 decrease in average hospital LOS and an 80% relative reduction in average percent of excess hospital LOS by partnering with Pieces.

Predictive analytics, AI and machine learning can improve outcomes, such as reducing excess length of stay, avoiding unplanned readmissions, and addressing the impacts of social determinants of health. Learn more about how machine learning and AI is helping hospitals solve complex problems.


Epic has partnered with a commercial stage biotechnology company, and has added a predictive analytics company to its marketplace.  

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Pieces is excited to be one of the 10 finalists and participants for the first ever AWS Healthcare Accelerator. These ten companies were selected from 427 applications from 31 countries around the world by a panel from Amazon Web Services (AWS) and KidsX, a digital health accelerator owned by Children’s Hospital of Los Angeles.

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Pieces brings its predictive analytics directly to the Epic Patient List to enable early interventions and reduce manual effort for front-line staff

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Ready to learn more?

Our flexible healthcare AI solution can be tailored to your needs. We’d love to schedule a meeting to more fully walk you through how Pieces can help you.

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