Overview
What is Pieces Iris?
Pieces Iris is a healthcare data analytics software designed to provide AI-generated assistance for care teams. According to Pieces Technologies, this solution is targeted at hospitals and healthcare systems of all sizes and is utilized by various professionals in the healthcare industry, including...
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Product Details
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- Tech Details
What is Pieces Iris?
Pieces Iris is a healthcare data analytics software designed to provide AI-generated assistance for care teams. According to Pieces Technologies, this solution is targeted at hospitals and healthcare systems of all sizes and is utilized by various professionals in the healthcare industry, including physicians, nurses, case managers, and healthcare providers. The software offers several key features that aim to improve decision-making, patient care, and resource management.
Key Features
Automated Patient Summaries: According to the vendor, Pieces Iris utilizes clinically-informed algorithms to analyze structured and unstructured data within the EHR, generating a succinct summary that aims to assist care teams in coordinating patient care. This feature is said to reduce the time and cognitive effort required for manual chart reviews.
Coordinating care: The Pieces Working Summary captures and compiles relevant information for care teams, aiming to enable them to work confidently and efficiently. According to the vendor, this feature aligns care teams with auto-generated snapshots of a patient's current status, potentially improving the detection of critical care deterioration.
Engage patients: Pieces Iris provides a patient-friendly version of the Working Summary, which the vendor claims empowers patients and their loved ones in their own care. This feature is intended to allow care teams to spend less time generating summaries and more time directly interacting with patients.
Reducing time in the EHR: According to the vendor, Pieces Iris utilizes generative AI overseen and refined by board-certified physicians to emulate the thought process of care providers. It merges real-time insights with risk predictions to generate a draft Working Summary, potentially reducing the time spent on data extraction and processing.
Identifying discharge barriers and predicting discharge dates: Pieces Iris incorporates Predict AI technology to identify discharge barriers and predict patient discharge dates. The vendor suggests that this feature can help care teams plan and coordinate patient care more effectively.
Improving detection of social determinants of health: According to the vendor, Pieces Iris utilizes Predict AI technology to identify social determinants of health in real-time. This feature is intended to enable care teams to address social factors that may impact patient health and outcomes.
Reducing burnout and improving provider satisfaction: Pieces Iris aims to reduce repetitive and burdensome clerical tasks, potentially decreasing the time spent in the EHR. According to the vendor, this feature is designed to allow healthcare providers to spend more time with patients, with the goal of alleviating clinician and care team burnout.
Pieces Iris Technical Details
Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
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Operating Systems | Unspecified |