Accellor GenAI for Healthcare

Accellor Inc

Get real-time insights into your healthcare data with Accellor ’s GPT powered GenAI solution

GPT fuelled, Accellor’s Chat with Enterprise Data solution is an intuitive analytics companion crafted to effortlessly extract valuable and actionable insights from your healthcare data. Seamlessly integrates into your organizational landscape, Solution offers a user-friendly interface that lets you get complex data insights through simple natural language prompts.

Solution caters to a spectrum of roles within the organization, extending its utility from leadership teams and managers to analysts, marketing and on-the-go sales managers who seek instant access to data and actionable insights.

Solution is built with Azure Native Services (listed below) and hosted on Azure Infrastructure for security and scalability and provides rich visual functionality. • Azure OpenAI Studio • Azure OpenAI GPT Turbo 4 • Azure Bot Services • Azure AI Search • Azure Storage (Blob) • Azure App Service • Azure Cache for Redis

Benefits:

  1. Context-aware AI assistant for your data that lets you get complex queries answered with natural-language-prompts through a user-friendly interface.
  2. Through Role-Based Access (RBAC), and strict data governance in place, our models never interact with public data and output sensitive or confidential data.
  3. No need to feed your data schema, our unique solution understands your data and self-trains to answer any complex questions.
  4. Highly scalable solution with multi-channel integration (ex: Web, Teams, Mobile…etc.)

We offer a free workshop to determine integration points, specific use cases and understand feature priority & deployment channels. Contact us (sales@accellor.com) to schedule a meeting.

https://store-images.s-microsoft.com/image/apps.17108.d43bfce5-e6d1-499c-ac71-110c377b769a.4f770bbe-6360-4916-9992-e09572c0ad19.1fef6c32-a070-4bba-a98b-a9282a0d4c5c
https://store-images.s-microsoft.com/image/apps.17108.d43bfce5-e6d1-499c-ac71-110c377b769a.4f770bbe-6360-4916-9992-e09572c0ad19.1fef6c32-a070-4bba-a98b-a9282a0d4c5c