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AI Ambient Dictation Software

ID: 36C24425Q0570 • Type: Sources Sought

Description

THIS IS NOT A SOLICITATION. This is a Sources Sought Notice only and is issued to conduct market research and gain knowledge of current market capabilities. Responses to this notice are not offers and cannot be accepted by the Government to form a binding contract. This notice is issued solely for information and planning purposes and does not constitute a solicitation or a guarantee to issue a solicitation in the future. This notice does not commit the Government to contract for any supply or service. All information submitted in response to this announcement is voluntary; the Government will not pay for information requested nor will it compensate any respondent for any cost incurred in developing information provided to the Government. Not responding to this notice does not preclude participation in any future solicitation, if issued. This announcement is based on the best information available at this time and is subject to future amendment.

The Department of Veterans Affairs, Network Contracting Office 4, is conducting a market survey to identify potential sources to perform a firm fixed price contract for procurement of AI Ambient Dictation Software for all nine VISN 4 Medical Centers:

DRAFT REQUIREMENTS DESCRIPTION (NOT COMPREHENSIVE)

The Department of Veterans Affairs, Network Contracting Office 4 is seeking to procure a contract for AI Ambient Dictation Software for all nine medical centers in VISN 4.

DESCRIPTION

The Department of Veterans Affairs, Network Contracting Office 4, has a requirement for a firm fixed price contract for AI Ambient Dictation Software.

The Contractor shall provide a Commercial-Off-the-Shelf (COTS) AI Ambient Dictation Software solution that utilizes state-of-the-art generative AI technology to transcribe clinical encounters and generate clinical documentation of the encounter from the transcript. The AI tool will interface with the VA Electronic Health Record (EHR) to support clinician workflows such that providers can initiate encounter recording without manual entry of patient identifying information. The AI tool will extract critical information from the EHR and insert draft notes into the EHR without copy and paste manual effort.

SCOPE OF WORK:

The AI Ambient Dictation Software system shall run passively on Government equipment during clinical encounters and generate draft clinical documentation following the encounter in near real-time. The system shall work in a variety of clinical settings, including those with poor wireless signals and/or poor cellular data, as well as in a variety of room sizes and setups, including those with ambient noise. Clinical staff shall be able to edit notes prior to signing in the EHR, and this process shall not require manual copying and pasting of information.

The system shall provide features consistent with leading ambient dictation technologies and functionality shall remain current with advances in the technology. Other features of interest in populating structured fields such as nursing flowsheets and templates/clinical reminders, generating unsigned orders for review and assisting with coding of patient encounters for billing purposes.

Prospective vendors shall indicate in their response the status of their SaaS approvals and FedRAMP approvals.

Informal pricing estimates shall be included with your response due to this product being new to the market and there is no historical pricing data available.

PLEASE REFER TO ATTACHED DOCUMENT FOR COMPLETE DETAILS

Background
The Department of Veterans Affairs, Network Contracting Office 4, is conducting a market survey to identify potential sources for a firm fixed price contract for the procurement of AI Ambient Dictation Software for all nine VISN 4 Medical Centers. This notice serves solely for information and planning purposes and does not constitute a solicitation or guarantee to issue a solicitation in the future.

Work Details
The Contractor shall provide a Commercial-Off-the-Shelf (COTS) AI Ambient Dictation Software solution that utilizes state-of-the-art generative AI technology to transcribe clinical encounters and generate clinical documentation from the transcript. The software will interface with the VA Electronic Health Record (EHR) to support clinician workflows, allowing providers to initiate encounter recording without manual entry of patient identifying information.

The system must run passively on Government equipment during clinical encounters and generate draft clinical documentation in near real-time. It should function effectively in various clinical settings, including those with poor wireless signals and ambient noise. Key features include:
- Ability to edit notes prior to signing in the EHR without manual copying and pasting.
- Consistency with leading ambient dictation technologies.
- Capability to populate structured fields such as nursing flowsheets and templates/clinical reminders.
- Generation of unsigned orders for review and assistance with coding of patient encounters for billing purposes.

Place of Performance
Department of Veterans Affairs, Network Contracting Office 4, 1010 Delafield Road, Pittsburgh, PA 15215.

Overview

Response Deadline
May 7, 2025, 1:00 p.m. EDT Due in 13 Days
Posted
April 15, 2025, 6:37 a.m. EDT
Set Aside
None
Place of Performance
Pittsburgh, PA 15215 United States
Source
SAM

Current SBA Size Standard
$47 Million
Pricing
Fixed Price
Est. Level of Competition
Low
Odds of Award
28%
On 4/15/25 VISN 4 issued Sources Sought 36C24425Q0570 for AI Ambient Dictation Software due 5/7/25. The opportunity was issued full & open with NAICS 513210 and PSC 7A21.
Primary Contact
Name
Stephanie McFadden, Contracting Officer   Profile
Phone
None

Documents

Posted documents for Sources Sought 36C24425Q0570

Question & Answer

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Additional Details

Source Agency Hierarchy
VETERANS AFFAIRS, DEPARTMENT OF > VETERANS AFFAIRS, DEPARTMENT OF > 244-NETWORK CONTRACT OFFICE 4 (36C244)
FPDS Organization Code
3600-00244
Source Organization Code
100163848
Last Updated
April 15, 2025
Last Updated By
stephanie.mcfadden@va.gov
Archive Date
May 22, 2025