Healthcare Case Study

SilverStay: AI-Powered Hospital Discharge Planning Software

Helping hospital care teams spend less time reviewing patient records and more time coordinating discharge.

SilverStay helps hospitals improve patient discharge coordination. Technology Rivers developed AI-powered hospital discharge planning software that automates patient data collection, identifies potential discharge barriers, and suggests next steps for care teams.

The Discharge Navigation Platform (DNP) combines patient information, AI insights, and daily tasks in one secure web application. It helps discharge planners, care navigators, and social workers spend less time searching records and more time addressing patient needs.

Built with HIPAA requirements in mind, this work continues a long-term healthcare software partnership.

Project Overview

Client

SilverStay

Industry

Healthcare

Platform

Responsive web application

Focus

AI-powered hospital discharge management

Services

Healthcare software development, AI and machine learning, workflow automation, web application development, cloud development

Technologies

AWS, Amazon Bedrock (Claude), AWS Lambda, Amazon Cognito, Amazon S3, Amazon CloudFront, PostgreSQL, Pulumi, GitHub Actions

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 hospital discharge management 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.

Our Work Includes

Healthcare Software Development

Artificial Intelligence & Machine Learning

Workflow & Process Automation

Web Application Development

Cloud Development

The Solution

Technology Rivers developed SilverStay’s centralized hospital discharge navigation platform to combine automated patient data processing with AI 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.

Receives patient information from partner hospitals
Organizes patient records
Identifies potential discharge barriers
Suggests next steps
A single dashboard for care teams

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.

This supports healthcare workflow automation by reducing repetitive manual data handling.

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.

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

Technology Rivers developed the AI-powered hospital discharge planning software in two stages: automating patient data intake and introducing AI capabilities to analyze clinical information.

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.

This work brought together AI & Machine Learning Development and Web Application Development to support SilverStay’s hospital discharge workflows.

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 implement the data mapping 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, and are now managed in Planwright. 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.

This approach reflects our work in Healthcare Software Development, where clinical requirements and user feedback inform application development.

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

Technologies Used

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.

The platform’s infrastructure reflects Technology Rivers’ Cloud Development capabilities.

For more on security considerations when integrating AI with healthcare information, read our guide on how to make AI HIPAA compliant.

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 AI-powered hospital discharge planning software 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

Technology Rivers’ partnership with SilverStay began with its short-term assisted living platform and later expanded to the AI-powered Discharge Navigation Platform.

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

Patrick Mish, CEO & Co-Founder

Insights on healthcare architecture, technical guidance, milestones, and long-term partnership.

Watch Patrick Mish’s Customer Success Story

Karla Araujo, Software Product Manager

Insights on AI development, detailed requirements, QA, and product iteration.

Watch Karla Araujo’s Customer Success Story

Todd Merrill, CTO, Investor & Technology Advisor

Todd discusses healthcare expertise, technical judgment, reliable delivery, and his work across multiple engagements, including SilverStay.

Watch Todd Merrill’s Customer Success Story

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