Duke Health Data Pipeline
A foundational, fully-automated data curation tool enabling data liquidity which accelerates quality improvement, learning health, research and innovation projects.
Projects
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Patient-directed acoustic surveillance for LVAD complications
Patients upload cardiac tones from digital stethoscopes to develop acoustic signatures associated with LVAD complications.
RFID surgical instrument tracking and optimization of the operating room
Implement an RFID system that could be integrated into the OR to measure instrument usage autonomously.
Innovative predictive model to anticipate steroid-induced hyperglycemia and guide insulin regimens
Identify optimal, individualized treatment policies for insulin dosing in the context of systemic glucocorticoids.
Improving primary care access for residents and fellows through electronic visits
Developing an innovative GME Trainee Primary Care eVisit Program within Duke Primary Care.
Early identification of cardiac decompensation and cardiogenic shock
Duke Heart and DIHI are collaborating to implement the phenotype dashboard and model to support real-time identification of patients experiencing or at high risk of experiencing cardiac decompensation.
Voices of Duke Health Listening Booth
Inviting healthcare providers, staff, students, trainees, patients, and visitors to have conversations about what is meaningful in your lives, work, and relationships.
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 with a needs-targeted app intervention
Systematically engaging families and helps ICU clinicians deliver needs-targeted palliative care.