Pieces utilizes generative AI to automate the drafting of clinical notes and patient summaries within electronic health records (EHR), significantly reducing documentation time for healthcare providers. This technology addresses clinician burnout and enhances documentation accuracy, ultimately improving patient care and operational efficiency.
Funding
$89.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Healthcare providers spend significant time on clinical documentation, leading to burnout and reduced time for direct patient care. Traditional methods of drafting clinical notes and patient summaries within electronic health records (EHRs) are often time-consuming and prone to inconsistencies.
Solution
Pieces offers an AI-powered platform that automates the creation of clinical notes, patient summaries, and discharge instructions directly within the EHR workflow. The platform leverages generative AI to synthesize patient data, identify potential diagnoses, and suggest billing codes, thereby reducing documentation time and improving accuracy. Pieces' AI solutions also include predictive models for identifying discharge barriers, forecasting readmission risk, and optimizing resource utilization. The platform incorporates a patented clinical AI review system, SafeRead, which combines adversarial AI models with clinician oversight to minimize hallucination risk and ensure the safety and reliability of AI-generated content.
Target Audience
The primary target audience includes physicians, nurses, and other healthcare providers in inpatient and outpatient settings, as well as hospitals and healthcare systems seeking to improve documentation efficiency, enhance revenue capture, and optimize resource allocation.
Features
- AI-powered generation of progress notes, discharge summaries, and patient handoffs
- Predictive models for readmission risk, discharge planning, and ambulatory-sensitive conditions
- Diagnosis capture functionality to suggest potential diagnoses and billing codes
- SafeRead platform combining adversarial AI and clinician oversight to minimize AI hallucination
- Seamless EHR integration, eliminating the need to switch between platforms
- Real-time updates to patient summaries based on the latest EHR documentation
- Customizable predictive models across clinical and operational areas