Accelerating the preparation of recommendations by medical professionals
Development of an AI-based web application for contraindications analysis and psychedelic medicine recommendations
Client
Entrepreneur and author of articles and books on the subject of psychedelic medicines and their use in treatment
Business challenges
- Complex process of preparing medical reports
- Lack of a centralized solution for processing EHR and preparing personal recommendations
Our solutions
- AI implementation
- UI for medical professionals and consumers
- Admin panel for managing master data
Project description
We began by developing a proof of concept (PoC) that utilized AI to analyze electronic health records (EHR) and generate recommendations for psychedelic medications. Our engineering team partnered with the R&D division to rigorously test and fine-tune the algorithms and models, ensuring we selected the most effective solution.
We built a robust architecture using TypeScript, Node.js, and Express.js. This setup facilitated efficient data processing and seamless integration with AWS services and Redis for real-time data handling. Our system leveraged AWS Bedrock for AI-driven analysis and bullMQ for job scheduling, ensuring high performance and reliability.
The frontend was developed using React, axios, and antd, creating a dynamic and responsive user interface for both medical professionals and patients. Sass was employed for advanced styling, allowing for a visually appealing and highly usable interface. Alsom, for managing master data and user permissions we developed the admin panel.
This modular approach enabled us to develop a highly flexible and scalable solution, easily integrated into any infrastructures and adaptable to future technological advancements.
Technology stack
- Typescript
- Node.js
- React
- Express.js
- AWS, AWS Bedrock
- bullMQ
- Redis
- PostgreSQL
Key activities
Results
The implementation of the new web app and AI led to significant improvements for the medical professionals and reporting process:
- Reduce the time required to prepare medical reports by 30%
- Get a single platform for processing EHR and generating personal recommendations, improving data management and accessibility
- AI-driven analysis led to more accurate contraindications and medicine recommendations, enhancing the quality of patients care
