Sold by: Pieces Tech
Deployed on AWS
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.com
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 |
Dimensions summary
You buy this platform through a private offer under a contract term. Pricing scales by the number of licensed hospital beds you cover. Three tiers group your bed count into brackets: up to 150 beds, 151 to 250 beds, and 251 to 500 beds. You pick the tier that matches your facility's licensed bed count. As your bed count grows into a higher bracket, you move to the next tier. Each tier reflects a set license quantity range rather than per-bed billing. The cloud-hosted platform serves care teams across the beds you license.
Top-of-mind questions for buyers
A licensed bed is a bed your hospital is officially authorized to operate, not the count currently occupied. Your tier reflects your facility's total licensed bed count. You match your authorized bed capacity to the bracket that contains it.
Each tier covers a set bracket of licensed beds. If your authorized bed count grows beyond your current bracket, you move to the tier that contains the new total. The tier price applies to your whole bed count, not just the added beds.
The cloud-hosted platform uses AI to summarize clinical data inside the electronic health record. It pre-generates documentation such as progress notes, discharge summaries, and care plans. Care teams across your licensed beds use these outputs to support physicians, nurses, and case managers.
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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.com
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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.com
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-Powered Clinical Summarization
Leverages generative AI technologies to distill extensive EHR information, both structured and unstructured, into actionable clinical insights and real-time patient summaries.
Predicted Discharge Date and Barrier Analysis
Provides real-time prediction of patient discharge dates and identifies potential discharge barriers, including readmission risks, enabling early discharge planning and barrier resolution.
EHR-Integrated Clinical Decision Support
Integrates seamlessly within the EHR patient list interface with components including working summary, predicted discharge date, discharge barriers identification, and action item tracking for physicians, nurses, and case managers.
Multi-Disciplinary Care Team Collaboration Tools
Supports multidisciplinary rounds and care team chart reviews with customizable summaries that can be edited by physicians for patient sign-out and progress note documentation.
Length of Stay Optimization
Analyzes patient data to support length of stay reduction initiatives by prioritizing patients ready for discharge and providing visibility into discharge barriers with automated resolution capabilities.
Secure Data Storage and Management
Uses Amazon HealthLake HIPAA-eligible service for secure storage, transformation, and query of clinical and claims data
Health Interoperability Standards
Implements modern health interoperability standards for medical information exchange and integration
Clinical Data Analytics and Inference
Provides analysis and inference capabilities for documents, diagnoses, medications, and vital sign data tracking over time
Chronological Medical Records Display
Displays chronological medical records including prescriptions, procedures, and diagnoses in organized format
Scalable Cloud-Based Architecture
Built on AWS infrastructure providing scalable healthcare architecture for handling increasing healthcare data volume and complexity
Natural Language Processing
Identifies actionable information such as risks, social determinants of health, and protective factors from narrative text data in case management and medical records systems
Narrative Search Capability
Enables full-text search functionality across unstructured narrative data including case notes and patient notes
Risk and Alert Detection
Generates early warning and alert notifications based on analysis of narrative and unstructured data to identify safety concerns and compliance issues
Longitudinal Data Analysis
Tracks and identifies risks, strengths, and social determinants across longitudinal narrative data to understand patterns over time
Data Quality and Compliance Monitoring
Assesses narrative and unstructured data at organizational level to monitor data quality and identify compliance violations
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