The Duke Institute for Health Innovation (DIHI) has announced the recipients of the 2019 Innovation Awards, which support high-potential 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. This is the sixth year the institute has funded projects through a call for innovation applications (RFA) across Duke Health.
Seven of the 10 funded project teams include faculty and trainees from the Department of Medicine, and five of the funded projects are led by principal investigators from Medicine.
DIHI received 75 high-quality applications from across the university and clinical enterprise. In addition to providing funding to advance these 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 an environment of value-based care, having an effective platform for innovation will be one way to ensure that we continue to focus on new models of care," said William J. Fulkerson Jr., MD, executive vice president of Duke University Health System and executive director of DIHI. “Delivering highest-quality care while exceeding quality goals and enhancing operational efficiencies will remain priorities for our clinical enterprise in the foreseeable future."
2019 DIHI Innovation Projects and Principal Investigators
Members from the Department of Medicine are highlighted below
Understanding Underlying Health Care Costs to Deliver Value-Based Care
Joshua Watson, MD and David Thompson, MD
Machine Learning Models to Recognize Early Clinical Deterioration in DUHS Pediatric Inpatients
Jennifer Li, MD, Kimberly Jackson, MD, Ira Cheifetz, MD, Christoph Hornik, MD, Kevin Hill, MD, Jeffrey Langdon, MHA, Sarah Tallent, PNP, Sharah Collier, RN, Remi Hueckel, DNP, Kristin Corey, Lauren Chisholm, MF, RRT-NPS, and Sallie Permar, MD, PhD
Using Machine Learning in Emergency Department Patient Flow
Jason B. Theiling, MD, Neel Kapadia, MD, Cara O’Brien, MD, Michael Gao, and Mark Sendak, MD, MPP
Transforming Cancer Care: Bringing PCPs Back into Cancer Care through Onco-Primary Care
Kevin Oeffinger, MD, and Leah Zullig, PhD
Machine-learning Algorithm to Predict ICU Readmissions in the Cardiothoracic Surgical Population
Mihai Podgoreanu, MD, Jacob N. Schroder, MD, Jill Engel, DNP, Kelly Kester, MSN, Mary Lindsay, MSN, Nathan Waldron, MD, Quintin Quinones, MD, PhD, Ricardo Henao, PhD, Kristin Corey, Michael Gao, Ray Shao, MD, Ashok Bhata, Tracey Hughes MMCi, and Noa Segall, PhD
Telehealth Examination versus Clinical Examination in the Detection of Rotator Cuff Tears
Jocelyn Wittstein, MD, Tally Lassiter, MD, MHA, Emily Vinson, MD, Chad Cook, PT, PhD, MBA, Alex Cho, MD, MBA, Donny Phinney, RN, Chad Mather, MD, MBA, Shilpa Shelton, MHA, and Emily Reinke, PhD