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Project Title

HL-Health: A Hyperledger-Powered Solution for Secure Health Data Management

Status

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titlePending TOC Reviewunselected

Primary Focus

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titleCoding
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titleDocumentation
  
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titleResearch


Description 

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This mentorship project is related to Hyperledger Fabric. The solution being proposed focuses on the development of a secure and compliant solution for managing medical records using the Hyperledger ZPK system, which is part of the Hyperledger Fabric framework. The implementation of the solution will involve the use of Hyperledger Fabric's privacy solutions and tools, including zero-knowledge proofs, to ensure the privacy and protection of sensitive medical data. Additionally, the solution will be integrated with existing healthcare systems and infrastructure through the development of a bridging app, and will adhere to standards such as Decentralized Identities (DID) and Fast Healthcare Interoperability Resources (FHIR) to ensure compatibility and data exchange with other healthcare systems.

Mentee Skills

Maryam Poursartip
• Board-certified physician with active medical license in California, USA.
• In-depth knowledge of electronic health records (EHR) systems.
• Familiarity with privacy and security regulations in the healthcare industry, such as HIPAA.
• Understanding of blockchain technology and its application in the healthcare sector.
• Familiarity with the Fast Healthcare Interoperability Resources (FHIR) standard.
• Knowledge of Hyperledger projects and their use in healthcare.
• Strong data analysis and management skills.
• Excellent communication and collaboration abilities, with the ability to work effectively in interdisciplinary teams.
• Flexibility and a willingness to learn new technologies and systems.
• Strong business acumen.
• Entrepreneurial mindset with the ability to identify and capitalize on new business opportunities.
• Effective networking skills.
• Strong marketing and sales skills.
• Adept financial management skills.
• Proven project management skills.
• Excellent communication and interpersonal skills.
• Mentorship experience with the ability to effectively mentor and guide others.
• Commercialization experience with a deep understanding of the commercialization process and a track record of bringing products and services to market.

Reza Fatahi
• Strong understanding of blockchain technology and distributed systems.
• Familiarity with Hyperledger Fabric, including its privacy solutions and tools such as zero-knowledge proofs.
• Knowledge of Decentralized Identities (DID) and Fast Healthcare Interoperability Resources (FHIR) standards.
• Experience with developing applications for secure data storage and transmission.
• Strong experience with software development, including proficiency in at least one programming language languages such as Go, Java, or and Node.js.
• Familiarity with cloud deployment and management, including the use of tools like Hyperledger Bevel.
• Understanding of security best practices and experience with implementing security measures to prevent data breaches and other security threats.
• Strong analytical, problem-solving, and troubleshooting skills.
• Good communication skills, both written and oral, and the ability to work effectively in a team environment.
• A background in healthcare (PhD Biomedical Science, former NIH training fellow).
• A background in computer science, engineering, and related fields.

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Top 10 contributor to RustSec project (https://github.com/rustsec/rustsec/graphs/contributors).

Future plans

1. Building out digitization solutions: Once the basic infrastructure for managing medical records is in place, the next step could be to explore digitization solutions to help hospitals and clinics bring their existing records into the new system. This could involve developing tools to help with data entry, data mapping, and data validation, among other things.

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3. Developing additional features and functionalities: As the solution evolves and becomes more widely adopted, there may be opportunities to develop additional features and functionalities to meet the evolving needs of hospitals and clinics, including AI/ML and deep learning capabilities. This could involve developing new modules for data analysis, data visualization, or workflow management, among other things.

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Mentor(s) Names and Contact Info