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Lincoln Memorial University·Tennessee

Design, Migration, and Support of a Hyperledger Fabric-Based Medical EDI System Healthcare Supply Chain Data Engineering Center — Lincoln Memorial University

Closes 2/15/2026$200k – $1MRequest for Proposal
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Description

The Lincoln Memorial University (LMU) School of Engineering is seeking a qualified software development firm to design, optimize, migrate, test, and document a Hyperledger Fabric-based medical Electronic Data Interchange (EDI) system. This project aims to introduce transparency, security, and efficiency into the medical supply chain by enabling blockchain-based transaction validation, secure data reconciliation, and standards-driven interoperability. The work supports the Healthcare Supply Chain Data Engineering Center (HSCDEC), a federally funded initiative to establish an open-source software platform improving healthcare supply chain resilience and accessibility. Key aspects of the project include: • Design and optimization of the Hyperledger Fabric-based medical EDI system • Migration and testing of the system • Documentation of the system • Introduction of transparency, security, and efficiency into the medical supply chain • Enablement of blockchain-based transaction validation, secure data reconciliation, and standards-driven interoperability

Attached files

The solicitation documents live at the source — open the bid source above to download them.

Contact

Ryan Overton(Main Contact)

[email protected]

(423) 869-6352

Key dates

Opened
1/30/2026
Closes
2/15/2026

Last updated

Details

Type
Request for Proposal
Industry
Information Technology and Software Development
NAICS
541510
Solicitation №
RFP-100-0-2026/RO

Budget estimate

$200,000 – $1,000,000

The budget for this opportunity is not explicitly stated in the document. However, based on the scope of work and the fact that it's a federally funded initiative, the budget could be substantial. A rough estimate for the budget could be in the range of $200,000 to $1,000,000, considering the complexity of the project and the expertise required. Factors that may influence the likely payment range include the size and complexity of the project, the level of expertise required, and the funding available for the initiative.

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