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September 19, 2024 🌐 Global

Patient Journey Challenge

Powered by
PathCheck Foundation in collaboration
with HIE of One

 

The integration of artificial intelligence (AI) into healthcare is revolutionizing how patients and physicians manage health information, offering new opportunities to enhance patient care, streamline processes, and empower individuals. However, this transformation often prioritizes the needs of institutions over those of individual patients and their physicians. To address this imbalance, the Patient Journey Challenge invites innovators to develop AI and UI/UX design solutions that put patients at the center of their healthcare experience.

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Sept 19, 2024 🌐Global

The Challenge is live now !

OUR MISSION

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Tracks

This challenge is divided into two tracks: one focused on creating and enhancing Medical AI Assistants (MAIA), and the other on designing intuitive user interfaces that improve the patient journey.

This track focuses on empowering patients and physicians with control over digital health records and medical AI assistants. Participants are challenged to design a decentralized system where users can independently select both their health records and AI-based medical assistants. By leveraging the Grant Negotiation and Authorization Protocol (GNAP) standard, the goal is to create an open-source, patient-centered solution that seamlessly integrates health records with AI assistants, ensuring secure and personalized healthcare experiences. This innovation shifts the patient journey from being hospital-driven to patient- and physician-driven, prioritizing privacy, data security, and user autonomy.

This track focuses on transforming the patient experience within the healthcare system. Participants are tasked with designing a user-centered, open-source interface that improves the patient journey. By developing an intuitive and cohesive user experience, participants will play a crucial role in enhancing patient interactions with the healthcare system while ensuring the highest standards of privacy and data security.

TRACKS

This challenge is divided into two tracks: one focused on creating and enhancing Medical AI Assistants (MAIA), and the other on designing intuitive user interfaces that improve the patient journey.

UI/UX

 

This track focuses on transforming the patient experience within the healthcare system. Participants are tasked with designing a user-centered, open-source interface that improves the patient journey. By developing an intuitive and cohesive user experience, participants will play a crucial role in enhancing patient interactions with the healthcare system while ensuring the highest standards of privacy and data security.

 

Medical AI Assistant

 

This track focuses on empowering patients and physicians with control over digital health records and medical AI assistants. Participants are challenged to design a decentralized system where users can independently select both their health records and AI-based medical assistants. By leveraging the Grant Negotiation and Authorization Protocol (GNAP) standard, the goal is to create an open-source, patient-centered solution that seamlessly integrates health records with AI assistants, ensuring secure and personalized healthcare experiences. 

Challenge Timeline

  1. September 11, 2024 🌐 Global

    Registration Opens πŸ“

  2. September 18, 2024

    Registration Closes ⏰

  3. September 19, 2024 10:00 AM to 11:00 AM, EDT

    Challenge Kick-Off & Release of Materials πŸš€

  4. SEPTEMBER 30, 2024

    Submission Deadline πŸ“€

  5. October 1-7, 2024

    Judging Period πŸ§‘β€βš–οΈ

  6. October 8, 2024

    Winners Announced πŸ†

Our Judges

James T. Kirk

VP of Statistical Analysis +
Data Reconfiguration

Leonard McCoy

VP of Statistical Analysis +
Data Reconfiguration

Janice Rand

VP of Statistical Analysis +
Data Reconfiguration

Montgomery Scott

VP of Statistical Analysis +
Data Reconfiguration

Montgomery Scott

VP of Statistical Analysis +
Data Reconfiguration

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Your Experience Awaits

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$ 199

Virtual Access

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$ 599

VIP Access

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$ 399

All Access

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