Medlink AI

Decentralized oracle network application for healthcare privacy & affordability. Uses ZK Proof for anonymity, AI for custom health services, empowering users to control over their health decisions.

Comment 1

Inspiration

The journey of creating this project has been deeply personal. It began with a simple question: How can we make healthcare more accessible and affordable for everyone? The answer was not easy, but the path was clear. We needed to challenge the status quo, break down the barriers, and find innovative solutions.

As we delved deeper into the challenges faced by health system pharmacies, the impact of monopolies on the high cost of prescription drugs, and the scarcity of essential medicines in developing countries, we felt a profound sense of urgency. It was clear to us that action was needed.

Every step of the way, we were driven by the belief that everyone deserves access to quality healthcare. This belief fueled our passion and guided our decisions. It led us to create an app that is not just a tool, but a beacon of hope for those struggling with healthcare access.

This project is more than a product; it’s a symbol of innovation and resilience. It’s a reminder that our dreams and actions can shape a better world. This is what truly inspires us.

What it does

Medlink AI serves as a bridge between users and healthcare providers, such as pharmacies, doctors, hospitals, and pharmaceutical companies. It aims to improve access to healthcare by helping users find the medicine they need based on their financial capability.

The dapp is designed with user privacy in mind. It uses Zero-Knowledge Proof, a cryptographic method that allows one party to prove to another that they know a specific piece of information, without revealing any other details. This means users can receive personalized offers from healthcare providers without sharing any personal information or details about their prescription and budget.

In addition to this, the dapp utilizes artificial intelligence to create informed decisions. It learns from conversations and purchase history to provide a more personalized experience for the user. This way, it not only ensures privacy and affordability but also offers a tailored healthcare service that meets the unique needs of each user.

In essence, the dapp empowers users to take control of their health decisions, ensuring they have access to the care they need while maintaining their privacy and staying within their budget.

How we built it?

Building Medlink AI was a collaborative effort involving teamwork, research, hard work, experience, and plenty of coffee. The development process spanned four key stages:

1. Ideation and Conceptualization: Thorough research and brainstorming sessions shaped project requirements, incorporating real-world data and expert consultations.

2. Architecture and Design: Microservices architecture ensured a user-centric design for seamless healthcare solutions, guided by real-world scenarios and user needs.

3. Implementation: Chainlink Integration: Vital for real-time data, connecting our app with medicine providers' APIs, and facilitating cryptocurrency payments. Zero-Knowledge Proof: Ensured user privacy in transactions and secured verification of prescriptions and healthcare providers. Artificial Intelligence: Employed machine learning for personalized recommendations and HIPAA-compliant user interactions.

4. Development and Testing: Meticulous translation of design into a functional app, with continuous testing and iterative development to meet high standards.

In essence, Medlink AI symbolizes the convergence of innovation and dedication. It's a dynamic solution that not only addresses current healthcare challenges but is also poised for continual improvement, driven by a commitment to accessibility, privacy, and user-centric design.

Challenges we ran into

We faced several implementation challenges, including coordinating team meetings across different time zones. Additionally, the response from API providers exceeded transaction limits, but we addressed it by converting and parsing responses within the smart contract. Integrating multiple proofs with different schemas for Polygon ID initially posed challenges, resolved through code refactoring. Fine-tuning AI to comply with HIPAA standards was also a significant hurdle, but our meticulous efforts ensured Medlink AI's robustness and privacy compliance.

Accomplishments that we're proud of

  1. Utilization of Chainlink Functions to generate the lowest, median, and highest price index for a specific drug from various drug providers—pharmacies, manufacturers, hospitals, distributors, and retailers—across cities, regions, or countries.

  2. Personalized offers from drug providers based on the user's budget, enhancing affordability and accessibility.

  3. Implementation of Polygon ID and Zero Knowledge Proof to prevent the misuse of medicine prescriptions.

  4. Enhanced security measures to prevent prescription misuse when the user is not the patient or the prescription belongs to a different patient.

  5. Prevention of dispensing the wrong drug and dosage by utilizing Polygon ID, which allows a purchase only if the prescription matches the drug being acquired, ensuring accuracy and safety.

  6. Secured purchase transactions without revealing the user's identity, personal health information, prescription details, or budget, all accomplished through Zero Knowledge Proof, emphasizing adherence to HIPAA regulations.

  7. Automated retrieval of the price index in the market using Chainlink Price Feed, ensuring accurate and real-time information.

  8. Implementation of Generative AI to assist users in making informed decisions while strictly adhering to HIPAA guidelines.

  9. Verification of licensed medical practitioners interacting with the platform using Polygon ID and Chainlink Functions, ensuring the legitimacy of healthcare professionals involved in the process.

What we learned

During this hackathon, we gained valuable insights and knowledge:

  1. We learned to leverage Chainlink Functions for generating comprehensive drug price indices sourced from multiple providers, enhancing market visibility and accessibility.
  2. Practical implementation of Polygon ID and Zero Knowledge Proof taught us how to ensure secure transactions, prevent prescription misuse, and protect user data, particularly in healthcare contexts.
  3. Implementing additional security measures, such as preventing misuse when the user is not the patient or when dealing with prescriptions for different patients, added robustness to our system.
  4. The use of Polygon ID to restrict drug dispensing only when the prescription matches the acquired drug showcased the importance of accuracy in healthcare transactions.
  5. Implementing Zero Knowledge Proof for secured purchases reinforced our understanding of privacy-centric design, ensuring users' identity, health information, and budget remained confidential.
  6. The incorporation of Chainlink Price Feed taught us how to obtain real-time and accurate market data.
  7. The implementation of Generative AI underscored the importance of integrating artificial intelligence to assist users in making well-informed healthcare decisions while adhering to privacy regulations like HIPAA.
  8. Integrating both Polygon ID and Chainlink Functions for verifying licensed medical practitioners highlighted the significance of ensuring the legitimacy of professionals interacting with the platform.

Overall, this hackathon provided us with a wealth of practical experience in utilizing blockchain technologies, privacy-enhancing tools, and artificial intelligence to create a secure, accessible, and user-centric healthcare platform.

Why Chainlink is essential to us

At the heart of Medlink AI lies our commitment to revolutionizing healthcare accessibility, a mission made possible by integrating Chainlink's innovative blockchain products. Chainlink Functions act as the vital arteries, connecting our application to a wealth of healthcare APIs, ensuring Medlink AI is not just a tool, but a comprehensive health resource.

The Data Feeds, like a dependable heartbeat, pulse with real-time, decentralized healthcare data, empowering users with accurate and reliable information.

Each component of Chainlink is not just a part of our system; it's essential to breathing life into our dream of accessible healthcare for all.

What's next for Medlink AI

The future for Medlink AI holds exciting possibilities, extending beyond its initial implementation for medicines. We envision the following advancements:

Diversification of Offerings: The robust implementation of Medlink AI for medicines lays the foundation for expansion into other healthcare domains. With further development, we aim to incorporate supplies, diagnostic exams, laboratory tests, and a broader spectrum of healthcare services.

One-Stop Shop for Medical Protocols: With adequate support, funding, and time, our goal is to evolve Medlink AI into a comprehensive one-stop shop. This envisioned platform will provide data-rich medical protocols, seamlessly integrating web2, blockchain, and machine learning technologies to offer a holistic healthcare solution.

Broader Healthcare Provider Network: Medlink AI will continue to grow its network of healthcare providers, ensuring users have access to a diverse range of professionals, services, and products. This expansion will enhance the platform's ability to cater to various healthcare needs.

Enhanced User Experience: Continuous refinement and optimization will be prioritized to elevate the user experience. Feedback from users and healthcare professionals will guide improvements to ensure Medlink AI remains user-friendly and efficient.

Interoperability and Integration: Collaboration with existing healthcare systems and interoperability with other platforms will be explored. This will streamline processes, improve data sharing, and create a more cohesive healthcare ecosystem.

Research and Development Initiatives: Ongoing research and development efforts will focus on staying at the forefront of technological advancements in healthcare. This includes exploring emerging technologies and incorporating innovative solutions to address evolving healthcare challenges. The data from Medlink AI can also help to advance research in the medical industry.

In essence, Medlink AI is poised to evolve into a dynamic, comprehensive platform that transcends its initial focus on medicines. With a vision for an expansive healthcare ecosystem, Medlink AI aims to redefine how individuals access and experience healthcare services through a technologically advanced, user-centric approach.

Share this project:

Updates