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This Government Contract opportunity from Virginia was posted on September 24, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

AI-Enabled Clinical Documentation and Analytics

Closed
State & Local

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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The AI-Enabled Clinical Documentation and Analytics subcontract with the University of Virginia focuses on implementing AI-driven note generation and predictive analytics for prime contractors on university health projects. The scope of work involves configuring clinical documentation assistance and predictive models through the use of natural language processing tools and AI/ML models to deliver operational reports and automated note generation. All activities must strictly adhere to established AI governance and University data usage policies, particularly regarding the training of models. This project falls under NAICS code 541511, with a response deadline set for October 6, 2026.

General Info

UVA subcontract for AI clinical documentation and predictive analytics, due October 6, 2026.

Place of Performance

University of Virginia, VA, USA

Set-Aside

NONE

Documents

This scope was carved out of RFP Event ID# 1238897.

The full solicitation package (7 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Electronic Medical Records System for The Department of Student Health and Wellness RFP Event ID# 1238897

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyUniversity of Virginia
ContactsNo contacts available
OfficeN/A
Organization / AgencyUniversity of Virginia
Office AddressN/A
ContactsNo contact information available

Full Description

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Implements AI-driven capabilities for note generation and predictive analytics for prime contractors on University health projects. Configures clinical documentation assistance and predictive models using NLP tools and AI/ML models. Must follow AI governance and University data usage policies for model training. Delivers operational AI-enabled note generation and predictive reports.

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POSTED

about 23 hours ago

DEADLINE

in about 1 month
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NAICS: 541310
SLED
RFP 26-02 Full AE Services for Academics Term Contracts
Solicitation # RFP-129882
The University of Virginia is soliciting qualified Architectural and Engineering firms to provide full A/E services on a Term Contract basis to support academic and potentially health system facilities. The scope of work includes pre-design studies, capital and non-capital project design, construction documentation, construction administration support, and repair or forensic studies. All services must be performed in accordance with the latest version of the UVA Higher Education Capital Outlay Manual (HECOM). The initial contract duration is one year or a maximum fee of $2,000,000, whichever occurs first, with the option for four additional one-year renewals. Qualified firms must be licensed to do business in Virginia and registered in the eVA electronic procurement portal. Evaluation is based on the firm's experience with similar institutions, ability to meet budget and quality objectives, HECOM expertise, and participation by Small, Women-owned, and Minority-owned (SWaM) firms. The selection process involves an initial qualification review to create a shortlist, followed by a detailed RFP and oral presentations. Interested firms must submit a Statement of Qualifications using the OCAS standard form, standard forms AE-1 through AE-6, and a Letter of Interest not exceeding two pages. All submissions must be delivered electronically to Bruce Jackson by the November 16, 2026, deadline.
Architectural Services

POSTED

14 days ago

DEADLINE

in 19 days
View Details

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