This page shows the "Trustworthy gait data authentication and distribution system connecting doctors, researchers and patients with lower limb musculoskeletal diseases" exploried and tested by ORPHE Inc., in the 2023 "Use Case Demonstration Project of the Trusted Web".

Please click on the links at the bottom of this page to learn more about the details of the demonstration.

Current issues and What Trusted Web Solves

Current Issues (Pain Points)

• While the mobile application is assigned a DID, there is no proof that the sensor data is the patient’s own.
• No balance between patients' proactive data control and an attractive token economy for research/pharmaceutical institutions. (No functionality to return points upon data revoke, etc.)
• No incentive design to encourage users to continue to use the application and share data with third parties.

What Trusted Web Will Solve

• Verify several authentication methods using biometric methods like facial identification or gait identification, and implement an identification system for data itself.
• Establish a scalable ecosystem by implementing a point return function and guaranteeing the data integrity required for DCT (Distributed Clinical Trials).
• Design incentives to encourage continued use by granting tokens and NFTs that make visible the social contributions of patient users.

Data to be verified

• Service user institutions/companies holding proof of contract can issue VC (relationship VC) to their affiliated doctors/researchers, etc. Patients’ data will be shared with the appropriate target through verification of affiliation VC and consent procedure via Woollet.
• By using Precise Targeting based on ZKP and patient information VCs, it enables to send data sharing requests to only condition-matched patients without violating patient's privacy.

Business Validation (including UX/UI) and Implemented Technology

• Investigation of specs/technologies to ensure data reliability and implementation of face identification.
• Implementation of a point allocation/return system and NFT badges to encourage patients’ activity.
• Discussion and improvement of business models for social implementation.

Achievements

• System that enables patients to record their own daily data and share the data with doctors and/or researchers.
• Biometric authentication using FaceID, and simple account recovery options using biometrics.
• Point & NFT badge issuance system contributing to user motivation, point return system for data revoking to maintain the economy.
• Understanding of corporate data utilization scenarios (R&D, distributed clinical research), identification of system/device requirements, required data and service fees which can be paid for.
• Identification of components required for service implementation through interviews with doctors and patients.

Documents

• summary（Link）
• demonstration（YouTube）