Waitlist

Every day, medical offices struggle to manage patient wait times. That is where the Waitlist comes in. Our program can ensure that patients get the care they need, when they need it.

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Inspiration

We took our inspiration from our own experiences with medical offices. Waiting in a doctor's office can be incredibly time-consuming and inefficient. Patients often wait in line without knowing how urgent their case is compared to others. We wanted to create a smarter system that prioritizes patients based on urgency, improving both efficiency and patient satisfaction.

What it does

Waitlist is an AI-powered medical waitlist system that:

  • Collects patient symptoms through an easy-to-use interface.
  • Assigns a severity score from 0 to 100 based on urgency.
  • Dynamically adjusts the waitlist to prioritize critical cases.
  • Provides estimated wait times to patients.
  • Reduces unnecessary delays and improves medical office workflow.

How we built it

  • AI Model: Developed a machine learning model trained on symptom severity and triage data.
  • Frontend: User-friendly web and mobile app for patient symptom input.
  • Backend: Secure database and logic for scoring and real-time waitlist adjustments.
  • Integration: Connected with existing medical office scheduling systems.

Challenges we ran into

  • Creating an accurate severity scoring system without overcomplicating the user experience.
  • Ensuring compliance with medical data privacy regulations (HIPAA).
  • Integrating seamlessly with different types of medical office software.
  • Handling real-time adjustments when new patients enter the system.

Accomplishments that we're proud of

  • Successfully built an AI-powered triage system that improves patient experience.
  • Developed an intuitive user interface for both patients and medical staff.
  • Ensured fair prioritization while maintaining transparency in wait times.
  • Optimized medical office workflows to improve efficiency.

What we learned

  • The importance of balancing automation with human oversight in medical applications.
  • Challenges of working with healthcare data and ensuring security.
  • How real-time adjustments can significantly enhance scheduling efficiency.
  • The impact of AI-driven decision-making in real-world medical settings.

What's next for Waitlist

  • Expanding AI capabilities to refine severity scoring based on new data.
  • Integrating with electronic health records (EHR) for more precise recommendations.
  • Developing a predictive analytics feature to help clinics prepare for peak hours.
  • Launching a pilot program in real medical offices to gather real-world feedback.
  • Exploring partnerships with hospitals and urgent care centers for wider adoption.
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