SilverStay: AI-Powered Hospital Discharge Planning Software
An AI-powered healthcare platform that automates hospital patient data processing, identifies potential discharge barriers, and suggests next steps, helping care teams reduce manual work and streamline discharge planning.
Project Overview
SilverStay helps hospitals improve patient discharge coordination and move patients safely through the discharge process. To support this work, Technology Rivers developed an AI-powered hospital discharge planning platform that automates patient data collection, identifies potential discharge barriers, and suggests next steps for care teams.
The Discharge Navigation Platform (DNP) brings patient information, AI-generated insights, and daily tasks into one secure web application. It helps discharge planners, care navigators, and social workers spend less time searching through records and more time addressing patient needs.
Built with HIPAA requirements in mind, the platform continues a long-term partnership between SilverStay and Technology Rivers across multiple healthcare software projects.
The Challenge
Hospital discharge planning requires reviewing patient records, identifying obstacles to discharge, and coordinating next steps across physicians, social workers, case managers, therapists, and other care professionals.
Much of this work involves manually searching through clinical documentation, often called “chart digging.” According to SilverStay’s product manager, hospital staff may spend 30 minutes to more than two hours a day reviewing records and gathering information.
SilverStay had tested its approach with partner hospitals, but early workflows still relied heavily on Google Sheets. Staff imported data, moved it between files, and manually prepared summaries.
Electronic health record (EHR) systems made patient information available, but SilverStay needed software that could transform complex information into useful next steps.
The goal: Reduce manual work, clarify discharge barriers, and help teams focus on patients requiring attention.
The Solution
Technology Rivers developed SilverStay’s centralized Discharge Navigation Platform to combine automated patient data processing with AI-powered discharge planning.
The platform receives patient information from partner hospitals, organizes patient records, identifies potential discharge barriers, and suggests next steps. Care teams can review discharge considerations and follow-up tasks from a single dashboard instead of compiling information across spreadsheets.
Frontline hospital feedback helped shape the product around real discharge planning workflows.
Key Features
- Automated Patient Data Intake – The platform receives hospital patient files three times a day through secure file transfer. Incoming information is processed and organized automatically, reducing copying and movement between spreadsheets.
- AI-Powered Discharge Barriers and Next Steps – AI reviews clinical documentation from physicians, social workers, case managers, therapists, and other healthcare professionals to identify potential medical and non-medical barriers to discharge. This distinction helps care navigators identify issues they can address directly and concerns that should be discussed with clinical staff. The system also suggests possible next steps.
- AI-Generated Meeting Summaries and Follow-Up Tasks – Care teams can upload transcripts from discussions of complex patient cases. AI summarizes conversations, identifies follow-up actions, and adds tasks to daily patient lists.
- Length of Stay Monitoring – The platform tracks hospital length of stay (LOS), helping teams recognize patients who may need additional attention.
- Patient Readmission History – When patients return, information from previous stays can be linked to their new cases, providing historical context without starting from scratch.
- Role-Based Access – Supervisors and care navigators receive access appropriate to their roles. Amazon Cognito supports authentication and role-based controls.
What SilverStay Says About the AI Platform
“Without the AI component of our web app, our product would be nothing.”
Karla Araujo, Software Product Manager, SilverStay
Karla works closely with Technology Rivers on clinical workflows, AI capabilities, requirements, quality assurance, and product improvements.
How We Built It
Stage 1: Replacing Manual Spreadsheet Workflows
Technology Rivers implemented automated SFTP-based intake so partner hospitals could send patient files securely. The system processes incoming data and creates a centralized foundation for the application.
Stage 2: Adding AI to Discharge Planning
We integrated Claude through Amazon Bedrock to analyze clinical notes, identify potential barriers, summarize relevant information, and suggest next steps. Insights appear in a responsive interface designed for care teams.
Solving Complex Healthcare Data Challenges
Discharge readiness cannot always be inferred from one field or note. Different sources must be considered together, and some information applies only under certain conditions.
Technology Rivers worked with SilverStay’s product manager to define interpretation rules and improve the way clinical information is processed and presented.
Iterative Development and Quality Assurance
The teams collaborated through short development cycles and regular meetings. Requirements came from Slack, Google Docs, spreadsheets, and team discussions. Developers clarified details, translated requirements into tasks, and tested changes before release.
After the version 1.0 rollout, frontline user feedback helped guide improvements to the dashboard and daily workflows.
Healthcare Security and Compliance
The platform processes protected health information (PHI). Security and privacy considerations informed AWS architecture, secure data intake, authentication, and role-based access.
These considerations are also discussed in our guide to Building HIPAA-Compliant AI Healthcare Applications.
Technology Rivers is also supporting SilverStay’s security work, including preparation of the AWS environment for penetration testing as SilverStay progresses toward SOC 2 readiness.
Our Deliverables
✅ Responsive web application for discharge planners, care navigators, and social workers
✅ Admin portal for managing hospitals, locations, staff, and tasks
✅ Automated SFTP patient data intake
✅ AI-generated medical and non-medical discharge barriers
✅ AI-suggested next steps and follow-up tasks
✅ AI-powered meeting summaries and reports
✅ Length of stay monitoring and readmission history
✅ AWS infrastructure designed around healthcare security requirements
✅ Infrastructure as code and automated deployment pipeline
Technologies Used
- Amazon AWS
- Amazon Bedrock (Claude)
- AWS Lambda
- Amazon Cognito
- Amazon S3
- Amazon CloudFront
- PostgreSQL
- Pulumi
- GitHub Actions
AWS hosts the platform and supports automated data processing. Amazon Bedrock provides access to Claude for AI analysis and summaries. Amazon Cognito manages authentication; PostgreSQL stores structured data. Secure SFTP supports hospital file exchange. Pulumi manages infrastructure as code, and GitHub Actions supports automated deployments.
Results & Impact
SilverStay rolled out version 1.0 of its Discharge Navigation Platform to hospital users and began collecting feedback from frontline care teams.
The platform replaced several manual spreadsheet workflows with automated patient data processing and AI-generated summaries. Care teams can now review patient information, discharge barriers, LOS, readmission history, and suggested actions in one place.
Key improvements
✅ Less manual data handling: Automated receipt and processing of patient files
✅ Easier access to information: Centralized patient details, barriers, and history
✅ AI-assisted planning: Suggested actions and summarized clinical information
✅ Better task visibility: Meeting summaries and follow-up items in daily workflows
✅ Continuous improvement: Iteration based on frontline hospital feedback
Early user feedback has been positive.
What SilverStay Says About Working With Technology Rivers
“They’re delivering week over week. My team has been thrilled with the work that has been underway.”
Patrick Mish, CEO & Co-Founder, SilverStay
Patrick highlights technical guidance, product discipline, and consistent delivery.
A Long-Term Healthcare Technology Partnership
The partnership began with searchable post-acute care provider data and assisted living workflows. As SilverStay evolved, Technology Rivers continued supporting backend architecture, data management, and AI-powered healthcare applications.
Explore our earlier work on the SilverStay Assisted Living Platform.
The Discharge Navigation Platform brings together SilverStay’s hospital workflow expertise and Technology Rivers’ software engineering, AI, and cloud experience.
More SilverStay Client Stories
Karla Araujo, Software Product Manager
Insights on AI development, detailed requirements, QA, and product iteration.
Patrick Mish, CEO & Co-Founder
Insights on healthcare architecture, technical guidance, milestones, and long-term partnership.
Todd Merrill, CTO, Investor & Technology Advisor
Todd discusses healthcare expertise, technical judgment, reliable delivery, and his work across multiple engagements, including SilverStay.
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