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AI/ML Patient Matching Specialist

Active

State & Local

Response Deadline11/12/2026, 08:00:00 AM UTC

Contract Overview

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

AI Contract Overview

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This subcontract opportunity for an AI/ML Patient Matching Specialist supports prime contractors working on projects for the Washington State Department of Health. The primary objective is the development of advanced patient identification algorithms and the design and tuning of machine learning models. These efforts aim to reduce duplicate records across disparate data sources while ensuring strict adherence to NIST security frameworks. The selected provider will be responsible for delivering a fully integrated patient matching module and algorithm. Performance will take place across multiple counties. Interested parties should note the posting date of October 9, 2026, with a response deadline set for November 12, 2026.

General Info

AI/ML specialist to develop patient matching algorithms for Washington State Department of Health.

Agency

Washington → Department of Health

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Place of Performance

Multiple Counties, WA, USA

Set-Aside

NONE

Documents

This scope was carved out of RFI-DOH27-02C.

The full solicitation package (3 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

WSIIS Consumer Access Tool & Sch

AI Contract Breakdown

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Timeline

PostedOct 9

subcontract

Response DeadlineNov 12

Submission deadline

Response Deadline

11/12/2026, 08:00:00 AM UTCin 15 days

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Organization & Contact Information

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AgencyWashington → Department of Health

ContactsNo contacts available

OfficeN/A

Organization / AgencyWashington → Department of Health

Office AddressN/A

ContactsNo contact information available

Full Description

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Develops advanced patient identification algorithms for prime contractors on Washington State Department of Health (DOH) projects. Designs and tunes machine learning (ML) models to reduce duplicate records across disparate data sources per NIST security frameworks. Delivers an integrated patient matching module and algorithm.

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