Jps Health Network Jpshealthnet #RFP20261383141

JPS Health Network Seeks AI-Driven Clinical Operations & Capacity Optimization Platform

JPS Health Network, operated by the Tarrant County Hospital District, is seeking proposals for an AI-driven Clinical Operations & Capacity Optimization Partner platform to enhance hospital efficiency and patient care. - Government Buyer: - Tarrant County Hospital District d/b/a JPS Health Network - Supply Chain Department, JPS Purchasing Office - Products/Services Requested: - AI-driven Clinical Operations & Capacity Optimization Platform - Must improve inpatient throughput, reduce length of stay, decrease avoidable days, and reduce emergency department boarding - Includes optimization of surgical scheduling, operating room utilization, and alignment of surgical volume with bed capacity - Requires real-time predictive analytics, dashboards, alerts, and role-based workflows - Must integrate with Epic Electronic Health Record (EHR) system - Implementation, support, maintenance, and training services for the platform - Unique/Notable Requirements: - Compliance with Texas Responsible AI Governance - Robust data security and privacy measures - 25% participation goal for Historically Underutilized Businesses (HUBs) - Pricing fixed for initial term, capped increases for renewals - Contract term: three years, with up to two one-year renewal options - No specific OEMs or vendors are named in the solicitation

Description

JPS Health Network is seeking proposals for an AI-driven capacity management solution aimed at improving patient throughput, reducing length of stay, and enhancing real-time operational visibility. The solution should support inpatient throughput as well as surgical scheduling and operating room optimization, including block utilization and alignment of surgical volume with bed capacity. It must leverage predictive analytics and integrate seamlessly with existing EHR systems to provide actionable insights at both patient and system levels, enabling proactive operations and maximizing existing capacity without physical expansion.

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