The Duke Institute for Health Innovation (DIHI) has announced the recipients of the 2018 Innovation Awards, which support high-potential care delivery innovation projects in the areas of population health and analytics, novel patient interactions, new and team-based models of care, and optimization of patient flow.
Among the 10 recipients of the 2018 DIHI Innovation Awards are seven Department of Medicine faculty, trainees and staff. This is the fifth year that the institute has funded projects through a call for innovation applications (RFA) across Duke Health.
DIHI received 75 high-quality applications from across the university and health system. The innovation projects that were selected this year will receive funding support from DIHI in addition to project management support, access to data, analytics and visualization, and statistical support.
"The DIHI RFA is a great opportunity to pilot projects that have high potential to make an impact on care delivery," said Tom Owens, MD, President of Duke University Hospital and Senior Vice President, Duke University Health System. "Investing in innovation is crucial as Duke continues to explore new frontiers of excellence in patient care."
2018 DIHI Supported Innovation Projects and Principal Investigators
Early identification of cardiac decompensation and cardiogenic shock
Ajar Kochar, MD, fellow in Cardiovascular Disease
High value analyte ordering implementation across the Duke Health population
Laura Roe
Improving primary care access for residents and fellows through electronic visits
Kevin Shah, MD, MBA, medical instructor (General Internal Medicine)
Improving racial disparities in unmet palliative care needs among intensive care unit family members with a needs-targeted app intervention
Chris Cox, MD, associate professor of medicine (Pulmonary, Allergy and Critical Care Medicine)
Innovative predictive model to anticipate steroid induced hyperglycemia and guide insulin regimens
Theresa Kline, PharmD candidate, Ann McGee, PharmD
Optimizing patient-reported outcomes data and workflows in Maestro
Thomas LeBlanc, MD, associate professor of medicine (Hematologic Malignancies and Cellular Therapy)
Patient-directed acoustic surveillance for LVAD complications
Priyesh Patel, MD, assistant professor of medicine (Cardiology)
RFID surgical instrument tracking and optimization of the Operating Room
Patrick Codd, MD
Utilization of machine learning to read transthoracic echocardiograms: Project Normal Echocardiogram
Angela Lowenstern, MD, fellow, Cardiovascular Disease
Voices of Duke Health listening booth
Anton Zuiker, director of Communications, Department of Medicine