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Texas A&M University·Texas

Texas Integrated Health Data Analytics Platform

Closes 7/24/2026$1M – $5MRequest for Proposal
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Description

Texas A&M Health Science Center seeks a market‑ready, web‑based Software‑as‑a‑Service (SaaS) platform that consolidates statewide health‑care, all‑payor claims, and demographic data into a single, integrated analytics hub. The vendor must provide data acquisition (THCIC, claims, price‑transparency, community demographics), host the data securely in the cloud, and deliver a configurable analytics interface with dashboards, GIS mapping, API access, and optional advanced AI/ML tools. The solution will serve 100+ concurrent users (approximately 80 students and 20 business users) and must meet HIPAA, FERPA, and TxRAMP security requirements. The contract is for up to two years, with an expected award in August 2026. • Provide a fully‑hosted SaaS analytics platform capable of ingesting, storing, and visualizing health‑care and demographic datasets. • Supply and maintain the required data assets (THCIC, all‑payor claims, price‑transparency, community demographics) and ensure ongoing data refreshes. • Deliver user training, documentation, VPAT accessibility compliance, and optional AI/ML analytics capabilities, while supporting 100+ concurrent users.

Attached files

The solicitation documents live at the source — open the bid source above to download them.

Contact

Kristina Kanevsky(Buyer II)

[email protected]

(979) 845-5887

Key dates

Opened
6/26/2026
Questions due
7/14/2026
Closes
7/24/2026
Projected award
8/1/2026
Duration
2 years

Last updated

Details

Type
Request for Proposal
Industry
Information Technology and Software Development
NAICS
518210
Solicitation №
TAMHSC-RFP-26-0643

Budget estimate

$1,000,000 – $5,000,000

No contract ceiling is disclosed, but comparable state‑wide health data analytics SaaS contracts for a major university typically range between $1 million and $5 million over a two‑year term. The estimate reflects licensing fees, data acquisition costs, cloud hosting, customization, training, and support. Larger datasets and advanced analytics (AI/ML) could push the upper bound higher.

AI estimate from the solicitation

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