Scout: the RCT and pilot, in brief
Scout digs through EHR data, including every note and report, to deliver exactly the information you need, in the format you want.
Research & Evidence Generation
Clinical, outcomes and quality improvement research projects.
Sepsis Watch™: the implementation of a Duke-specific early warning system for sepsis
Sepsis Watch is a deep learning model that leverages real-time EHR data to improve detection and treatment of sepsis in the hospital. It was successfully integrated into routine clinical care in November 2018 and has reshaped how local machine learning projects are executed.
Telehealth examination versus clinical examination in the detection of rotator cuff tears
Simulated telehealth evaluation of shoulder pain using patient self-examination will be compared to traditional clinical examination of shoulder pain using MRI as the gold standard to determine accuracy in detecting rotator cuff tears.
Patient-directed acoustic surveillance for LVAD complications
Patients upload cardiac tones from digital stethoscopes to develop acoustic signatures associated with LVAD complications.
Cancer Distress Coach
A randomized control trial to determine whether a distress coach mobile app usage influences symptoms of posttraumatic stress disorder and distress in cancer patients.
A Three-Pronged Approach to Reducing HIV Transmission through Pre-Exposure Prophylaxis (PrEP)
Development of a three-pronged program to decrease HIV transmission and increase awareness in the Duke and Durham community, including the creation of a dedicated Duke PrEP clinic at Duke Medical center, educational promotion, and community outreach.
Autism & Beyond
Tests the reliability of smart phone questionnaires and video analysis of facial expressions as a possible screening tool for autism and other developmental disorders of children.