Development and Implementation of a Hospital at Home Program in Wake County
A Hospital at Home program in Wake County that would allow patients to be treated for hospital-level conditions in their homes.
Innovation Science and Implementation
With its mission in mind, DIHI strives to implement each of its innovations to positively impact clinical care in the real world. DIHI has designed, led, and measured impact for numerous innovation implementations. Moreover, DIHI applies its evolving methodologies into the design and implementation of each new innovation, thereby increasing the speed to deliver value and expanding the potential for achievable transformative innovation.
Development of a Maternal Early Warning System Using Machine Learning
Identify obstetric patients at risk for clinical deterioration by using a variety of patient clinical parameters obtained from multiple data modalities and predictive modeling of pregnancy specific, patient related changes.
A Virtual Operating Room Hub to Facilitate Peri-Operative Communication
Augment OR case review huddles with a virtual operating room hub to facilitate communication across shifts and within shifts in the OR.
Emergency Department Telehealth Program
Development and implementation of a telehealth program at Duke University Hospital ED to reduce left without being seen (LWBS) and initiate patient care faster.
Sepsis Watch™: the implementation of a Duke-specific early warning system for sepsis
Sepsis Watch is a deep learning model that leverages real-time EHR data to improve detection and treatment of sepsis in the hospital. It was successfully integrated into routine clinical care in November 2018 and has reshaped how local machine learning projects are executed.
Reducing In-Hospital Mortality
A machine learning model to predict in-hospital mortality, run at the time of admission to the hospital, for all adult patients.
Evidence-based Lab Orders
Provides clinicians decision support when ordering analytes to promote high value analyte ordering.