Accelerating medical recommendations preparation
Development of an AI-driven solution for analyzing contraindications and providing psychedelic medicine recommendations, streamlining the decision-making process
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 implementation
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
Business outcomes
The implementation of the new web application and AI technology resulted in significant improvements for medical professionals and the reporting process:
- Reduced the time required to prepare medical reports by 30%
- Provided a unified platform for processing Electronic Health Records (EHR) and generating personalized recommendations, enhancing data management and accessibility
- Leveraged AI-driven analysis to deliver more accurate contraindications and medicine recommendations, improving the quality of patient care
