Deep Sepsis: a look “under the hood” at the model powering Sepsis Watch
Deep Sepsis is the model that powers the Sepsis Watch solution at Duke University Health System, and beyond. Utilizing the Duke data pipeline for real-time
Results & Outcomes
At DIHI, innovative problem solving, motivated teams and a drive for meaningful impact combine to revolutionize healthcare delivery at Duke. We collaborate with entrepreneurial leaders and clinical experts to infuse leading-edge science into real, implemented solutions for our health system and the industry. Learn more by reading some of our results.
IP & Models
DIHI owned or developed IP and machine learning models & algorithms.
Journal Articles
Scientific and research articles published by DIHI.
Presentations
Scientific and research posters presented or posted at a conference or symposium by DIHI.
Recent Results & Outcomes
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Development of Machine Learning Models to Predict Admission from ED to Inpatient and Intensive Units
2020 Society of Academic Emergency Medicine (SAEM) National Conference, Denver, CO.
Uncovering Errors in Transitions from Hospital to Nursing Home: A Video Telehealth Transitions Conference
American Geriatrics Society 2020 Annual Meeting, Long Beach, CA, May 9, 2020