Improving primary care access for residents and fellows through electronic visits
Developing an innovative GME Trainee Primary Care eVisit Program within Duke Primary Care.
Living Lab
The Living Lab showcases DIHI’s approach to catalyze innovations in health and healthcare. As they evolve from pilot implementations into sustainable solutions, projects become part of the “living lab” of evaluation and iterative innovation to build upon the knowledge gained through the testing of new clinical workflows and use cases.
Utilization of machine learning to read transthoracic echocardiograms: Project normal echocardiogram
To develop and validate a computer algorithm to correctly estimate left ventricular ejection fraction (LVEF) as an initial step toward a fully automated echocardiogram evaluation.
Improving racial disparities in unmet palliative care needs among ICU family members
Systematically engaging families and helps ICU clinicians deliver needs-targeted palliative care.
Optimizing patient-reported outcomes data and workflows in MaestroCare
Demonstrate the feasibility and utility of integrating electronic patient-reported outcomes (ePROs) into the existing Epic electronic health record for use in outpatient cancer care.
ED LOS: Predictive analytics to reduce emergency department length of stay for youth with behavioral health disorders
Reducing Emergency Department length of stay through population-based predictive modeling.
Rational coronary care unit triage for stable patients with NSTEMI
Predicting the development of in-hospital complications requiring ICU care in initially stable patients with NSTEMI.
Improving inpatient goals of care conversations
Increasing and improving how hospitalists discuss goals of care with their patients and their families.
Real-time cost transparency for providers and patients in value-based care environment
Allows surgeons access to comparative historical performance reports and “out of pocket” costs per patient.
Pallialytics: Using analytics to inform a palliative care population health management intervention
A viable predictive model to positively affect patient palliative care workflows.