Clinical Operations & Capacity Optimization Partner
| Location: | Texas |
|---|---|
| Posted: | May 22, 2026 |
| Due: | Jun 12, 2026 |
| Agency: | JPS Health Network |
| Type of Government: | State & Local |
| Category: |
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| Publication URL: | To access bid details, please log in. |
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JPS is requesting an AI-driven capacity management solution to improve patient throughput, reduce length of stay (LOS), and enhance real-time operational visibility. Leading healthcare organizations are adopting advanced analytics platforms that use predictive modeling and real-time data to proactively manage capacity and optimize patient flow.
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In addition to inpatient throughput, JPS requires functionality to support surgical scheduling and operating room (OR) optimization, including improved block utilization and alignment of surgical volume with bed capacity. mso-hansi-font-family:"Times New Roman";mso-bidi-font-family:"Times New Roman"">
The solution will leverage predictive analytics and seamless EHR integration to provide actionable insights at the patient and system level. This will enable a shift from reactive to proactive operations, improving care coordination and maximizing existing capacity without physical expansion. "Times New Roman";mso-bidi-font-family:"Times New Roman"">
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