This Subcontract opportunity from Minnesota was posted on December 28, 2023. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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Data Integration Pipeline Development

Closed

State & Local

Submission Closed01/17/2024, 06:00:00 PM CST

Contract Overview

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

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NAICS: 518210

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Budget and Strategic Planning

POSTED

about 16 hours ago

DEADLINE

in 19 days

AI Contract Overview

The University of Minnesota is seeking a subcontractor for the Data Integration Pipeline Development project. The primary objective of this engagement is to design and implement ETL pipelines capable of integrating medical, pharmacy, and employee eligibility data from various disparate systems into a centralized healthcare data warehouse. This opportunity was posted on December 28, 2023, with a response deadline of January 18, 2024. The project falls under NAICS code 518210, focusing on the technical consolidation of healthcare data to improve organizational data management and accessibility.

General Info

Agency

University of Minnesota

NAICS

518210 - Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

Place of Performance

MN, USA

Set-Aside

NONE

Documents

This scope was carved out of 12.21.23.dk.OHR Addendum 1.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Health Care Data Warehouse

AI Contract Breakdown

Uniform Contract Format

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Timeline

PhaseClosed

PostedDec 28

subcontract

Response DeadlineJan 17

Deadline has passed

Submission Closed

01/17/2024, 06:00:00 PM CST

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Organization & Contact Information

AgencyUniversity of Minnesota

ContactsNo contacts available

OfficeN/A

Organization / AgencyUniversity of Minnesota

Office AddressN/A

ContactsNo contact information available

Full Description

Design and implement ETL pipelines to integrate medical, pharmacy, and employee eligibility data from disparate systems into a centralized healthcare data warehouse.