Duke Raleigh Hospital at Home Pilot Materials
Executive Summary The DRAH Acute Hospital Care at Home began as a DIHI RFA 2020 proposal: Development and Implementation of a Hospital at Home Program
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.
Predictive Model for Assisted Triage of Traumatic Brain Injury
A model to aid actionable mild to moderate TBI triage decisions in the ER.
A Unified Framework for Predicting Bacteremia and Interpreting Blood Culture Results
Estimates the pre-test probability of bacteremia and post-test probability of blood culture results in hospitalized patients for EHR-based clinical decision support.
Transforming Epilepsy Surgery with Augmented Reality
Placing patient-specific 3D images in the Neurosurgeon’s field of view using augmented reality and advanced imaging to increase precision for epilepsy surgery.
Using Xealth to Manage Population Health and Engage Patients with Chronic Kidney Disease
Guiding appropriate specialty consultation and delivering tailored patient educational content.
A Population Health Strategy for NAFLD using an E-Consult Platform and NLP
A population health solution for NAFLD with an ultimate goal to optimize health care resources by improving access for high risk patients and minimizing unnecessary referrals.
Dermatology Clinical Decision Support in Primary Care
Improving dermatology access, care delivery and cost via machine learning assisted risk stratification.
Machine Learning for Early Identification and Management of Pulmonary Embolism
A machine learning risk stratification model to improve recognition and management of high risk PE while also reducing hospital utilization for low risk patients.
Using a Mortality Risk Predictor Model for Advance Care Planning via a Transitions of Care Toolkit
Identify high risk mortality inpatients to provide them with a Transition of Care Toolkit to help with advance care planning.