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Success story

HCA Healthcare uses innovative data platform to save lives

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Overview

HCA Healthcare, one of the largest healthcare service providers in the United States, uses data and technology to support modern healthcare. A cross-functional team of clinicians, data scientists, and technology professionals at HCA Healthcare used Red Hat solutions to create a real-time predictive analytics product system to more accurately and rapidly detect sepsis, a potentially life-threatening condition.


The products we run affect people’s lives deeply, and we need partners who are there to work with us 24x7. Our relationship with Red Hat is critical to ensuring service quality in the clinical environment.

Dr. Edmund Jackson
Chief Data Scientist, HCA Healthcare
HCA Healthcare

Industry

Healthcare


Region

NA


Headquarters

Nashville, TN


Size

273,000+ employees in 1,800 care sites


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Use data Insights to save lives

HCA Healthcare wanted to use its data to find new, innovative solutions to healthcare challenges. HCA Healthcare’s leadership identified sepsis rates as a key challenge that data could help solve. Sepsis, a condition where the body’s immune system has an overwhelming response to infection, is responsible for 270,000 deaths per year in the U.S. alone.1 The group sought to use predictive data analysis to establish a standardized, digital approach to sepsis detection.

people looking at monitors

HCA Healthcare at Red Hat Summit 2019

Build a scalable foundation for innovative patient care

HCA Healthcare created the Sepsis Prediction and Optimization of Therapy (SPOT) platform to collect and analyze clinical data and signal caregivers in real time to initiate early sepsis care. HCA Healthcare used Red Hat open source software to create a scalable, container-based Platform-as-a-Service (PaaS) foundation for SPOT. The group also used Red Hat automation, management, and analytics software to support real-time data collection, analysis, and proactive notification processes.

Software and services

Improved patient care with data analysis

With its new platform, HCA Healthcare is able to detect and identify sepsis up to 20 hours earlier than traditional screening methods–helping to save lives. In addition, HCA Healthcare has used its new technology capabilities, like real-time machine learning algorithms, to establish a learning health system that decreases the risk and cost of innovation.

Dr. Edmund Jackson on HCA’s strategy

Dr Edmund Jackson

Dr. Edmund Jackson
Chief Data Scientist, HCA Healthcare

As part of the Surviving Sepsis Campaign,2 HCA Healthcare has saved approximately 8,000 lives from sepsis.


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  1. “Sepsis.” National Institutes of Health (NIH): National Institute of General Medical Sciences (NIGMS). Reviewed 4 Mar. 2019. https://www.nigms.nih.gov/education/pages/factsheet_sepsis.aspx
  2. The Surviving Sepsis Campaign is a global initiative to reduce sepsis mortality. Source: Red Hat case study. “HCA Healthcare saves lives with early sepsis detection platform,” May 2019.

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Red Hat Open Innovation Labs

Open source fuels innovation. This fact is exemplified best by Red Hat’s customers, who are using open source technologies to change the game. We’re proud to call them “innovators in the open” and share their stories.

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