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DIHI announces 2020 RFA Innovation Awards



The Duke Institute for Health Innovation (DIHI) will support high-potential innovation projects in the areas of novel strategies to improve value of care delivery, enhancing provider and staff experience and well-being, enhancing patient engagement and experience, and accelerating population health solutions and strategies. This is the seventh year that DIHI has funded projects through a request for applications (RFA) across Duke Health.

In a continued commitment to driving innovation in health and healthcare, 11 projects were selected by a panel of Duke Health leaders from over 65 high-quality applications. In addition to providing funding to advance the selected projects, DIHI will work with various Duke Health and Duke University partners to provide access to data, analytics, statistical analysis, machine learning and AI resources, while driving project and implementation management.

“In the rapidly changing health care environment we need to leverage the talent and creative thinking at Duke to deliver care and improve health in new and innovative ways now more than ever,” said William Fulkerson, MD, executive vice president of the Duke University Health System and executive director of DIHI. “The exceptional quality of applications this year speaks to the collaborative and multidisciplinary approach to health care improvement championed by our providers, staff and trainees at Duke Health.”

2020 DIHI Innovation Projects and Principal Investigators:

Machine Learning for Early Identification and Management of Pulmonary Embolism

Schuyler Jones, MD; Hope Weissler, MD; Alexander Sullivan, MD; Talal Dahhan, MD; Kishan Parikh, MD; Terry Fortin, MD; Alexander Limkakeng, MD; Samuel Francis, MD; Jason Katz, MD; Timothy Amrhein, MD; William Ratliff, MBA; William Knechtle, MHA, MBS; Michael Gao; Armando Bedoya, MD, MMCI; and Manesh Patel, MD

 

Dermatology Clinical Decision Support in Primary Care

Meenal Kheterpal, MD; Ricardo Henao, PhD; Kevin Shah, MD; Meng Xia; Samantha Wong; Christine Park; and Arsh Patel

 

A Population Health Strategy for NAFLD using an E-Consult Platform and NLP

Yuval Patel, MD; Andrew Muir, MD; Devdutta Sangvai, MD, MBA; Blake Cameron, MD; Momen Wahidi, MD, MBA; Chad Mather, MD, MBA; and Mustafa Bashir, MD

 

Using Xealth to Manage Population Health and Engage Patients with Chronic Kidney Disease

Blake Cameron, MD, MBI; Ebony Boulware, MD, MPH; Matt Roman, MHA, MMCI; Anisha Chandiramani, MD; David Claxton, MMCi; Patti Ephraim, MPH; Kevin Shah, MD, MBA; Tara Kinard, RN, MS, MBA; and Dev Sangvai, MD, MBA

 

Transforming Epilepsy Surgery with Augmented Reality

Muhammad Zafar, MD; Abhi Kapuria, MD; and Matthew Vestal, MD, MBA

 

A Unified Framework for Predicting Bacteremia and Interpreting Blood Culture Results

Christopher R. Polage, MD, MAS; Deverick Anderson, MD; Cara O’Brien, MD; Raquel R. Bartz, MD, MMCi; Brian Griffith, MD; Jill Engle, DNP; Daniel Gilstrap, MD; Justin Silverman, PhD; Mark Sendak, MD, MPP; Sarah Lewis, MD, MPH; Becky Smith, MD; Jennifer Saullo, MD, PharmD; and Rebekah Moehring, MD, MPH

 

A predictive model for assisted triage of traumatic brain injury

Timothy Dunn, PhD; Mike Haglund, MD, PhD; Anthony Fuller, MD; Brian Burrows, MD; Steven Cook, MD; and David Carlson, PhD

 

A Virtual Operating Room Hub to facilitate peri-operative communication

Robert Qi, MD; Ro Tejwani, MD, MS; and Wendy Webster, MBA

 

Development of a Maternal Early Warning System Using Machine Learning

Courtney Mitchell, MD, PhD; Brenna Hughes, MD; Ashraf Habib, MBBCh, MSc; Terrence Allen, MBBS; Mark Sendak, MD, MPP; Cara O’Brien, MD; William Ratliff, MBA; and William Knechtle, MBA, MPH

 

Development and Implementation of a Hospital at Home Program in Wake County

Vidhya Aroumougame, MD, MBA; David Zaas, MD, MBA; Adia Ross, MD, MHA; and Mike Spiritos, MD

 

Using a Mortality Risk Predictor Model for Advance Care Planning via a Transitions of Care Toolkit

Amanda Bisset, MD; J. Trig Brown, MD, MPH; and Aparna Kamath, MD, MS

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