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Automatic AI Mapping Software for Medical Education

Overview


Data Analytics, AI & Cloud Hosting
Athens, Georgia, United StatesPosted: June 11th, 2026Deadline: July 2nd, 2026

Fit Score


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SUMMARY


Seeking an AI-driven software solution to automatically map a medical education curriculum, supporting curricular management, quality improvement, and accreditation.

KEY REQUIREMENTS


CONTRACT DURATION


60 months

TIMELINE


Solicitation opened: June 10th, 2026

Solicitation closes: July 2nd, 2026

QUESTION DEADLINE


July 2nd, 2026

Issuing Agency


University Of Georgia

Organization overview and procurement intelligence available on paid plans.

DESCRIPTION


A medical education agency is seeking a vendor to provide an automatic AI mapping software solution that will comprehensively map their entire curriculum. The system must leverage advanced Artificial Intelligence (AI) to analyze curricular content, learning objectives, and assessment data, generating and maintaining curriculum mappings with minimal manual effort.

The solution should surpass basic static or rules-based mapping, offering AI-driven capabilities for dynamic content analysis and mapping. It must support curricular management, quality improvement, and accreditation processes by mapping curricular components and assessments to nationally recognized frameworks. Features required include a fully searchable curriculum map (by keyword, learning objective, competency, course, session, and assessment), configurable dashboards with export functionalities for reporting and accreditation, as well as robust integration options such as API, secure file transfer, or LTI. The platform must also support Single Sign-On (SSO) and Multi-Factor Authentication (MFA) for secure access.

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Frequently asked questions

When is the submission deadline?
Submissions are due July 2, 2026. Questions must be submitted by July 2, 2026.
Who issued this RFP?
It was issued by University Of Georgia. The work is located in Athens, Georgia, United States.
Who is a good fit for this opportunity?
  • Experience developing AI-driven educational software
  • Demonstrated expertise in medical education curriculum solutions
  • Proven ability to integrate with enterprise systems and support industry security standards
  • Prior work with searchable data mapping and reporting dashboards
  • Track record of supporting academic accreditation processes

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