Sold by: Pieces TechÂ
Piece Hospital Platform is a Generative AI solution that reviews patient inpatient chart and provides a real-time summary of the patient along with key data around the Predicted Discharge Date, Barriers to Discharge, and resolving barriers and action items.
Overview
Pieces leverages AI technologies to provide assistance to care teams at the point of care within their EHR. Our AI, designed in collaboration with clinicians, distills extensive EHR information, both structured and unstructured, into actionable insights. This aids care teams in making prompt, informed decisions to elevate patient care and outcomes, all while reducing the associated time and cognitive load. Our flexible AI platform caters to a wide range of use cases within health systems. The tool set comprises components like the Pieces Summary, Predicted Discharge Date, Potential Discharge Barriers, and Comments/To-Do List, designed for physicians, nurses, and case managers/ social workers. Additionally, we can integrate organization-specific derived models within the Pieces summary or juxtapose them with the Pieces models. Pricing does not include implementation or scaled pricing for organizations with over 500 licensed beds. For Private Pricing contact lehanne.doyle@piecestech.comÂ
Highlights
- Pieces platform optimizes clinical team time by minimizing time spent on documenting details for shift handoffs and speeding chart review times. This tool is used by physicians, nurses, case managers, and other teams providing inpatient care.
- Pieces supports length of stay initiatives. Including tools for multidisciplinary rounds and care team chart reviews. Pieces works by analyzing structured and unstructured data in the EHR. This real-time review identifies potential discharge barriers, as well as readmission risks, enabling the following, Early start for discharge plan. Prioritize patients ready for discharge. Visibility into discharge barriers, with auto resolution.
- Pieces Working Summary efficiently distills patient data, converting hundreds of pages into a succinct summary that's refreshed when a clinically relevant update happens. This streamlined information is integrated seamlessly into EHR patient list, making it instantly accessible to the entire care team. Additionally, physicians can edit the summary to their own liking and use it for patient sign-out or progress note documentation.
Details
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Delivery method
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
1 to 150 Beds | up to 150 Licensed Beds | $282,000.00 |
151 to 250 Beds | between 151 to 250 licensed beds | $395,000.00 |
251 to 500 Beds | between 251 to 500 licensed beds | $564,000.00 |
Vendor refund policy
Any applicable refunds and/or termination rights will be agreed upon in the agreement between the customer and Pieces. All questions should be directed to accounts@piecestech.comÂ
Legal
Vendor terms and conditions
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Pieces assigns a Client Success Manager to every client. This representative collaborates with your organization from the onset of Implementation and continues throughout your tenure with Pieces. We prioritize our clients' success and support, tailoring a series of meetings and training sessions to your specific requirements. As our client, you can access our technical support help desk from 8am to 8pm Central Time. For urgent matters, emergency support is available after hours, from 8pm to 8am. Pieces Tech Service Desk can be reached by phone at (844) 707-7918 or by email at accounts@piecestech.comÂ
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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In Classification-Text
AI generated from product descriptions
Generative AI Analysis
Leverages AI technologies to analyze and distill extensive Electronic Health Record (EHR) information into actionable clinical insights
Patient Data Summarization
Converts complex patient chart data into concise, real-time summaries with automatic updates during clinically relevant changes
Discharge Prediction
Provides predictive capabilities for discharge date, potential discharge barriers, and automated resolution recommendations
Multidisciplinary Care Support
Supports physicians, nurses, case managers, and social workers with integrated AI-driven tools for comprehensive patient care management
EHR Integration
Seamlessly integrates AI-generated insights directly into Electronic Health Record systems for immediate accessibility by care teams
Cloud Storage
Utilizes Amazon HealthLake for secure, HIPAA-eligible clinical data storage and management
Medical Data Interoperability
Supports modern health interoperability standards for comprehensive medical information exchange
Clinical Analytics
Provides analysis and inference capabilities for medical documents, diagnoses, and medications
Patient Data Tracking
Enables chronological tracking of patient vital signs and medical records over time
Healthcare Information Architecture
Implements scalable cloud-based infrastructure for processing complex medical data
Natural Language Processing
Advanced NLP technology capable of extracting critical information from unstructured text data
Risk Identification
Automated detection of risks, social determinants, and protective factors within narrative documents
Narrative Search Capability
Advanced search functionality enabling comprehensive exploration of text-based case and patient notes
Data Quality Monitoring
Systematic analysis and assessment of narrative data for compliance and quality control purposes
Alert Notification System
Intelligent mechanism for generating early warning signals based on analyzed unstructured data
Standard contract
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