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AI-Powered Medical Drug Information Search Platform

alltegrio.com

Medical

Health & Fitness

Business services

Challenge

Medical strategists at HealthFirst Medical Group spend a significant amount of time manually researching approved drug indications using publicly available resources. This inefficient process limits their ability to focus on higher-value strategic tasks and can lead to delays in accessing critical information.

About the Client

A large multi-specialty medical provider group seeking to improve research efficiency for its medical strategists and clinical teams.

Goals

Reduce the time strategists spend researching drug indications by 80%.
Improve the accuracy and relevance of drug information access.
Increase operational efficiency within the medical research workflow.
Enhance data-driven decision-making capabilities.

Functionality

Intelligent search engine for drug indications.
Automated data aggregation from MedlinePlus, openFDA, and other public sources.
Natural language processing (NLP) for query understanding.
Human-readable formatting of search results (e.g., tables, summaries).
Secure access control and data protection.
Content personalization based on user role and preferences.

Technology Stack

Azure OpenAI LLM

Python Flask

React.js

Microsoft Azure

Keycloak (Authentication)

Embeddings and Prompt Engineering

Content Scraping and Cleaning Tools

External Integrations

MedlinePlus API
openFDA API
Keycloak for user authentication

Non-Functional Requirements

High availability and scalability to support a large user base.
Robust security measures to protect sensitive data.
Performance optimization for fast query response times.
Data accuracy and reliability.

Expected Business Value

The implementation of this AI-powered platform is expected to significantly improve the efficiency and effectiveness of medical research activities. By reducing research time, enhancing data accuracy, and freeing up strategists' time for higher-value tasks, HealthFirst Medical Group can expect to see increased operational efficiency, better-informed decision-making, and improved patient outcomes.