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Connected Health Systems

2 posts · Mar 2022 – Apr 2023

What this trail covers

This post details the evolution of Palantir's capabilities for building connected health systems, exemplified by its implementation at Tampa General Hospital (TGH). It highlights how Foundry is leveraged to integrate diverse data sources (nursing schedules, patient information, acuity levels) to create actionable insights for operational improvements. Key applications include optimizing clinical staffing ratios, reducing Post-Anesthesia Care Unit (PACU) hold times through predictive modeling, and improving patient flow. This iteration likely refines the system with new data integrations or advanced predictive models for enhanced operational efficiency and patient care.

All Palantir trails
  1. Connected Health Systems at Tampa GeneralThis post introduces the application of Palantir Foundry to create a connected health system at Tampa General Hospital. It details specific use cases: 1) Clinical Staffing: integrating schedules, patient info, and acuity to automatically generate optimized schedules, leading to a 30% improvement in staff-to-patient ratio and cost savings. 2) Post-Anesthesia Care Unit (PACU): developing a predictive model with 95% accuracy to forecast patient arrivals and recovery times, resulting in a 28% reduction in hold time. 3) Hurricane Ian Response: building a real-time disaster response application in 24 hours to provide a 360-degree view of patient counts, allocate resources, and mass-contact staff. The post also outlines success factors for Foundry adoption, including leadership support, operational SME involvement, and skilled analytics teams.
  2. MediumThis post details how Palantir Foundry powers BP's digital transformation in reliability, specifically focusing on their use of the platform to manage and optimize their critical infrastructure. It highlights how Foundry provides a unified operational picture, enabling better decision-making and proactive management of complex systems. The post emphasizes the platform's ability to integrate disparate data sources, provide real-time insights, and facilitate data-driven reliability engineering practices. This contributes to the broader 'Connected Health Systems' thread by demonstrating the application of similar data integration and operational intelligence principles to a different critical domain (infrastructure reliability), showcasing the platform's versatility in managing complex, data-intensive operational challenges.