Client
A Renowned Public Hospital
Region
Texas, US
Industry
Healthcare
Completed
26 Aug 2024

Project overview and client background
The client is a renowned public hospital in Texas, consisting of a highly experienced team of data scientists and physicians working together to address pressing healthcare issues facing hospitals, clinicians, patients, and communities dedicated to advancing healthcare delivery enabled by healthcare information and technology.
The critical problem we needed to solve
The hospital wanted to tackle the challenge of early sepsis detection and control a potentially life-threatening condition. Prompt identification and intervention is crucial to reducing death rates, as the likelihood of mortality grows by 20% for each hour when treatment is delayed.
Yet, in a hospital environment, diagnosing sepsis can be difficult since the symptoms can be mistaken for other conditions. Conventional risk determination methods often identify sepsis inaccurately, resulting in a high rate of false positives. The hospital needed a robust solution that could improve accuracy in early sepsis detection and provide healthcare professionals with actionable insights on time.
Measurable outcomes and life-saving impact
The average reduction in mortality was 27.54% and the average length of hospital stays for ICU patients decreased by 24.13%.
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