Vermont Medicaid Data Lake and Data Analytics Tender - 62497593

Procurement Summary

Country: USA

Summary: Vermont Medicaid Data Lake and Data Analytics and Reporting Solution

Deadline: 08 Mar 2022

Posting Date: 27 Jan 2022

Other Information

Notice Type: Tender

TOT Ref.No.: 62497593

Document Ref. No.:

Competition: ICB

Financier: Self Financed

Purchaser Ownership: -

Tender Value: Refer Document

Purchaser's Detail

Name: Login to see tender_details

Address: Login to see tender_details

Email: Login to see tender_details

Login to see details

Tender Details

Through this Request for Proposal (RFP), the State of Vermont, Agency of Digital Services (ADS), in collaboration with the Department of Vermont Health Access (DVHA), through the Agency of Administration, Office of Purchasing and Contracting, (hereinafter the “State”) is seeking to establish a contract with one or more vendors to develop, implement, operate, and maintain Software as a Services (SaaS) solutions for a Medicaid Data Lake (MDL) and Data Analytics and Reporting (DAR) capabilities, including related information technology systems and business consulting services. The MDL and DAR solutions are essential to achieving the State-s near-term goals for a Medicaid Data Warehouse and Analytics Solution (MDWAS). The MDL and DAR will integrate with the current state architecture of the Medicaid Enterprise System (MES) (a.k.a. Vermont Medicaid enterprise). They must be scalable and extensible to support further transformation initiatives of the State-s: (1) mid-term Medicaid Management Information System (MMIS) modernization strategy and (2) long-term vision to leverage data and information from all solutions across the Vermont human services enterprise. As the next step in the State-s MMIS modernization strategy, the architectural approach of the MDWAS will integrate the MDL and DAR solutions with the State-s existing Analytics Data Warehouse (ADW), which stores statewide health information (i.e., not specific to Vermont Medicaid). The MDL will ingest data from various data ...

Documents

 Tender Notice