AI-Powered Emergency Intelligence for Modern Healthcare
Built by engineers at MIT Manipal, PARS combines real-time patient triage and intelligent medical coding to assist doctors in making faster, more informed decisions during critical moments.
Designed to support emergency departments, clinics, and healthcare teams — starting with real-world validation and feedback.
Recognized by Kanini & Economic Times • Built during national-level hackathons
Recognition & Validation
Recognized by Industry Leaders
Our work has been reviewed and appreciated by industry professionals and evaluators.
Kanini
Industry Recognition
Economic Times
Innovation Acknowledgement
Why We Built PARS
Solving Real Healthcare Problems
Emergency rooms often face major challenges. PARS is an attempt to solve both using AI to assist, not replace, medical professionals.
Delayed prioritization of critical patients
Time-consuming medical coding workflows
"We're building tools to assist doctors, not replace them."
Smart Triage
Real-time patient assessment
Autonomous Coding
Automated medical coding
Data Analytics
Actionable insights & reports
Our Platform
AI-Powered Healthcare Systems
Integrated systems for triage, medical coding, and hospital integration
PARS — AI Triage System
- •Risk stratification using vitals and NLP-based department routing.
- •Voice & OCR intake for real-time patient queue management.
- •Assistive AI for immediate prioritization.
Healthcare Operations AI
- •ICD-10 / CPT code suggestions with compliance validation.
- •Multi-agent reasoning system with audit logs.
- •Automation of administrative medical workflows.
System Integration
- •Modular API-based backend designed for hospital systems.
- •Explainable AI outputs for clinical transparency.
- •Secure data handling and protocol interoperability.
Our Capabilities
What We're Building
Real-time Triage Scoring
Working prototype tested with realistic vitals and patient data
AI-Assisted Coding
ICD-10 and CPT code suggestions based on clinical notes
Explainable AI Outputs
Transparent reasoning for all AI decisions to build clinical trust
Multilingual Support
Intake support in multiple languages for diverse patient populations
Modular API Backend
Built for integration with existing hospital systems and workflows
Designed for Clinicians
Intuitive interfaces built with real medical workflows in mind
Our Journey So Far
How We Got Here
Triage System Development
Built first working AI triage prototype. Recognized by Kanini for innovation and problem-solving.
Medical Coding Engine
Developed AI-based ICD-10 / CPT coding system. Acknowledged by Economic Times for healthcare innovation.
Startup Incubation
Selected for incubation at MIT Manipal Innovation Centre. Began development as a startup team.
Clinical Validation
Clinical feedback & validation, pilot testing with clinics, and continuous AI improvement.
See the System in Action
Working Prototype
This is a working prototype demonstrating how AI can assist in triage and medical coding workflows.
Triage Dashboard
Working prototype showing real-time patient queue with AI-powered priority scoring.
Early Feedback
What Healthcare Professionals Say
"I really appreciate the team members and their thorough R&D over Emergency Response services. I was impressed over the clarity and conviction of problem solving. The application will definitely unburden a huge amount of non clinical, yet crucial task that healthcare professionals have to do on a daily basis. They will also help in ensuring smoother operations and eventually lesser wait time for patients. A more accurate and effective solution is the only way forward for this unorganised chaos. All the best for the future growth of this project. "
Dr. Sahanya Shetty
Critical Care Medicine Practitioner, Dubai
Our Team
Founding Team
All founders are Undergraduate Computer Science students at MIT Manipal
Partnership Opportunity
Who We're Looking to Work With
We are actively looking to collaborate with healthcare professionals and institutions who believe in the potential of AI-assisted emergency care.
Strategic Benefits
Our Path Forward
Our Roadmap
Phase 1
Completed
- Prototype Development
- Triage System Core
- Medical Coding Engine
Phase 2
In progress
- AI Model Iteration
- Clinical Feedback Integration
- Clinical Validation
Phase 3
Upcoming
- System Refinement
- Pilot Testing with Clinics
- Full Deployment Readiness
Have Questions?
Frequently Asked Questions
We are an early-stage startup founded by second-year students at MIT Manipal. We have a working prototype and are actively seeking clinical validation through partnership with healthcare institutions.
We are actively looking to work with doctors, clinics, and hospitals to refine and validate our system. Interested partners can help us improve the prototype with real-world clinical data.
Our platform backend is modular and API-based, designed for integration with hospital systems. We are open to discussions about implementation approaches for pilot testing.
We believe AI should assist, not replace doctors. All our AI outputs are explainable, showing the reasoning behind triage scores and coding suggestions for clinical review.
We are committed to HIPAA compliance and data privacy. Our modular architecture is designed from the ground up with security and compliance in mind.
We are currently refining our prototype based on initial feedback. Clinical pilots are planned after further validation with healthcare professionals and institutions.
Collaborate With Us
We are actively looking to work with doctors, clinics, and hospitals to refine and validate our system.
Early access • Direct team collaboration • Clinical validation