Inspiration
Healthcare professionals often face heavy workloads and insufficient resources, leading to burnout and decreased quality of patient care. MediVersed was created to simplify the assignment process, ensuring patients are matched with the most suitable nurses based on their specific care needs. By automating this process, we aim to reduce human error, mitigate biases, and improve patient satisfaction.
What it does
Introducing “Mediversed”, a website that ensures patients are matched with the nurse who best fits their care requirements. It automates the matching process based on real patient needs, reducing human error and bias. Hospitals can expect faster, more accurate, and fairer nurse assignments, boosting patient satisfaction and nurse morale. This leads to better overall patient outcomes and a more balanced workload for staff.
How we built it
We built MediVersed using a blend of powerful technologies:
- Frontend: Developed in React, with a user-friendly interface designed in Figma and converted into React components.
- Backend: An Express.js server manages communication, data processing, and authentication.
- Database: We used AWS DynamoDB for secure, scalable data storage.
- AI: Leveraged OpenAI’s capabilities to refine the matching algorithm, ensuring that patient needs align well with nurse skills and experience.
Challenges we ran into
We encountered several challenges during development are managing secure cookie transfers between frontend and backend posed authentication and data integrity issues and ensuring the platform scales seamlessly with increased data and traffic without impacting speed or accuracy.
Accomplishments that we're proud of
We are proud to implement a fair, skill-based matching system that improves nurse allocation in hospitals, ensuring a balanced workload and reducing the strain on nurses.
What we learned
We learned about major pitfalls in cookie handling and CORS, we practiced and enhanced our knowledge of asynchronous programming and its design patterns. We learned that sometimes it's better to take the time to adopt a unfamiliar library than trying to reinvent the wheel. It was also a valuable exercise in fast paced, team based software development.
What's next for MediVersed
- Enhanced Personalization: Improving the matching algorithm to include more patient and nurse variables for even more tailored assignments.
- Mobile App Development: Creating a mobile-friendly version for nurses to access their schedules and patient information on the go.
- Data Analytics Dashboard: Enabling hospitals to gain insights into trends in patient care, nurse workloads, and overall healthcare outcomes.
Log in or sign up for Devpost to join the conversation.