PeerScript is an AI-powered web application designed to help physicians streamline clinical workflows, automate medication prescriptions, and manage patient data through an intelligent interface.
The system combines structured patient data management with AI-assisted prescription support, enabling faster, more consistent, and data-driven decision-making.
Built as a team project with a focus on real-world healthcare challenges, PeerScript demonstrates how AI can be integrated into clinical workflows to reduce friction and improve accuracy.
Healthcare providers face several challenges in day-to-day workflows:
- Manual prescription processes are time-consuming
- Dosage calculations can be error-prone
- Switching between systems slows down decision-making
- Patient data is often fragmented or difficult to manage
These inefficiencies can impact both provider productivity and patient outcomes.
PeerScript provides a unified interface that:
- Automates prescription workflows
- Assists with dosage calculations
- Suggests alternative medications
- Stores and organizes patient data
- Integrates AI to enhance decision support
This reduces cognitive load for physicians while improving workflow efficiency.
- AI-assisted prescription recommendations
- Automated dosage calculations
- Alternative medication suggestions
- Patient record management system
- Searchable and updatable database
- Clean, responsive UI for clinical workflows
- User input → patient and prescription data
- Frontend → structured UI (React)
- Backend → API and data processing
- Database → MongoDB patient records
- AI layer → Groq API for recommendation logic
- UI → results and workflow outputs
Frontend:
- React.js
Backend:
- Node.js (assumed API layer)
Database:
- MongoDB
AI:
- Groq API
Language:
- JavaScript
Watch the demo here: https://www.youtube.com/watch?v=-84fjgNM6PY
Devpost: https://devpost.com/software/peerscript
As part of a 3-person team (Neil, Victoria, Megane), I contributed to:
- Core application logic and workflow design
- Integration of AI-assisted recommendation system
- Database interaction and data handling
- Frontend components for user interaction
- Overall system architecture and feature implementation
- Not a production-ready medical system
- AI recommendations are advisory only
- No regulatory or clinical validation
- Integration with real clinical data systems
- Advanced validation for prescriptions
- Role-based access control for providers
- Audit logging for compliance
- More robust AI-driven insights
PeerScript was developed as a collaborative project exploring the intersection of AI and healthcare workflows.
The goal was to demonstrate how intelligent systems can assist clinicians without replacing human decision-making.