We are developing a web-based and mobile biomedical service assistant designed to help biomedical engineers, technicians, and service professionals troubleshoot medical equipment issues efficiently.
The application will combine:
A guided UI (equipment selection, issue type, image upload)
AI-powered troubleshooting
A private knowledge repository (service manuals, PDFs, internal documents)
Support for multiple AI providers and API keys
The goal is to reduce troubleshooting time, standardize service workflows, and make expert-level guidance available instantly.
Attached(RFP Doc)
Executive RFP Summary Biomedical Service AI Assistant (Web & Mobile) Project Overview
We are seeking a qualified software development partner to build a Biomedical Service AI Assistant, a web-based and mobile application designed to help biomedical engineers and service technicians troubleshoot medical equipment efficiently.
The platform will combine guided user input, AI-powered diagnostics, image analysis, and a private repository of service manuals, delivering fast, OEM-aware troubleshooting support in both online and offline environments.
Key Objectives
Reduce medical equipment downtime
Standardize biomedical service workflows
Provide instant, AI-assisted troubleshooting
Prioritize internal service manuals over public AI knowledge
Support multilingual output for global service teams
Core Features
Guided Equipment Selection Users select:
Equipment type (Ultrasound, CT, MRI, etc.)
Manufacturer and model (e.g., GE LOGIQ E9)
Software / firmware version The system auto-generates a structured troubleshooting prompt and prevents redundant questions.
AI-Powered Diagnostics (Multi-Provider)
Supports local AI (offline, no cost) and cloud AI providers
Modular architecture with multiple API keys per provider
Automatic fallback when quotas are exceeded
No hard-coded keys; all managed via an admin interface
Private Knowledge Repository
Upload and manage OEM service manuals (PDF format)
AI searches internal documentation first (RAG approach)
Reduces hallucinations and improves technical accuracy
Image-Based Troubleshooting
Upload photos of error screens, artifacts, probes, connectors
AI analyzes images together with equipment context
Always processes the most recent upload
Multilingual Translation (Output Level)
Translate AI responses from English into:
Spanish, Portuguese, French, Italian, German
Toggle translation per response
Preserves technical terminology and safety warnings
Platforms
Web application (desktop and tablet)
Mobile application (iOS & Android or cross-platform)
Shared backend and AI logic across platforms
Administration & Configuration
Manage AI providers and API keys
Enable/disable local or cloud AI engines
Upload and organize service manuals
Configure supported translation languages
Target Users
Biomedical engineers
Imaging service technicians
Independent service providers
Hospitals and imaging centers
Deliverables
Production-ready web application
Mobile application
Secure backend API
Admin configuration panel
Scalable AI and document-search architecture
Ideal Development Partner
Experience with web and mobile applications
Proven AI / LLM integration expertise
Familiarity with document search or RAG systems
Healthcare or technical service experience preferred
One-Line Summary
A smart biomedical service assistant that combines AI, service manuals, and guided workflows to deliver fast, multilingual, OEM-aware troubleshooting on web and mobile platforms.
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