Biomedical App Service Engineer diagnostic Troubleshoot web/app

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.