Overview
MedDischarge Assistant
MedDischarge Assistant is a HIPAA-compliant, SOC 2-certified clinical summarization solution that uses agentic AI to aggregate patient data from EHR platform and generate accurate, comprehensive discharge summaries in minutes — replacing what traditionally takes hours of manual documentation.
When deployed on AWS, MedDischarge Assistant uses Amazon S3 for secure, HIPAA-eligible storage of clinical source documents, generated summaries, and audit trail records throughout the discharge documentation workflow. (Note: if other AWS services are used — e.g., for compute, orchestration, or the AI/LLM layer — add them here once confirmed; the more specifically this is tied to AWS, the stronger the listing.)
How It Works
MedDischarge Assistant brings together four capabilities in one workflow:
- Data Grounding – Validates generated content against source clinical documents stored in Amazon S3
- Clinical Journey Summarization – Synthesizes the full length of stay into a coherent narrative
- Inconsistency Detection – Identifies conflicting entries across clinical records before they reach the final summary
- AI-Assisted Generation – Produces discharge summaries that clinicians review, refine, and finalize
Deployment Note:
This AWS Marketplace listing covers professional services for deployment and configuration on AWS, leveraging Amazon S3 for secure clinical data storage.
Engagement Process
UST delivers MedDischarge Assistant through a structured professional services engagement:
- Discovery and Scoping – Assess current discharge workflows, EHR environment, and integration requirements, including Amazon S3 storage architecture and access policies
- Configuration and Integration – Connect to your EHR platform, configure Amazon S3 buckets for clinical document storage, set clinical templates, and customize to your documentation standards
- Validation and Training – Clinical team training, parallel testing against existing workflows, and iterative refinement
- Go-Live and Support – Production deployment with ongoing support for optimization
Deliverables include a fully configured MedDischarge Assistant instance integrated with your EHR environment and Amazon S3 storage, clinician training sessions, and documentation.
Highlights
- HIPAA-compliant, SOC 2-certified agentic AI that works with any EHR platform to aggregate patient data and generate discharge summaries in minutes - replacing hours of manual documentation. Multiple integration capabilities and cloud-based deployment give health systems flexibility in adoption. Data grounding validates all generated content against source clinical documents.
- Inconsistency detection identifies conflicting entries across clinical records before they reach the final discharge summary, reducing documentation errors. The solution synthesizes the full clinical journey across the length of stay into a coherent narrative, eliminating manual copy-paste assembly from disparate hospital systems and freeing clinicians to focus on review and clinical judgment rather than data reconciliation.
- Clinician-centered workspace includes a status-first dashboard, patient-centered listing for caseload prioritization, section-by-section review with granular editing, side-by-side evidence validation against source documents, and role-based permissions. UST delivers through a structured engagement including discovery, EHR integration, clinical team training, and go-live support.
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Engagement and Support for MedDischarge Assistant
Engagement Process
UST delivers MedDischarge Assistant through a structured professional services engagement:. For questions about this product, including product usage, troubleshooting, integration assistance, and account management, contact the UST SmartOps team through the SmartOps page at https://www.ust.com/en/smartops .
Support Scope:
- Product onboarding and configuration guidance
- Integration support for connecting CarePilot to your EHR, care management, and claims systems
- Troubleshooting browser agents, voice agents, and workflow agents
- Account and subscription management including refund requests
- Deployment model consultation based on your organization's requirements
Typical Engagement Structure:
- Discovery and Scoping (Weeks 1-2): Environment assessment, integration planning, and architecture documentation
- Pilot Deployment (Weeks 3-6): Agent configuration, workflow validation, and iterative tuning
- Production Rollout: Full deployment with ongoing optimization support
Buyer Responsibilities:
Designate a dedicated IT liaison and clinical subject matter expert to support integration activities and validate agent behavior within your care management workflows.
Getting Started:
To request a personalized demo or discuss implementation for your care management team, reach out through the contact page above. For AWS Marketplace subscription issues, contact AWS Marketplace support directly through the AWS Management Console.
Subscribe through AWS Marketplace to initiate the engagement. The UST team will schedule a discovery session to define the deployment plan for your health system.