Automating Oncology Patient Access and Elevating the Patient Experience
Identifying specialty and clinical urgency for patient appointments.
Projects
Matching Transplant Donors to Recipients using Generative AI/LLM
Helping match transplant kidneys.
Using AI to Reduce the Burden of Prior Authorizations
Assisting prior authorization requests for a prototypical medication.
Using AI for Surgery Pre-Authorization
Identifying and outlining documentation for surgery pre-authorizations.
World Health AI Partnership
Focused on capacity building, best practice diffusion, and AI solution scaling between Duke Health and Aga Khan University in Kirachi, Pakistan.
Automating Behavioral Health Evaluation in Primary Care
Automating follow up to a positive BH screen in 6-11 year old patients within primary care by distributing, collecting and scoring ADHD, Depression and Anxiety questionnaires directly within the EHR.
EASY Telehealth Care: Optimizing telehealth in rheumatology
Enable rheumatology providers to identify patients who could be seen by telehealth rather than in-person at their next follow-up appointment.
Automated Post-Hospitalization Track for Patients Discharged on Outpatient Parenteral Antimicrobial Therapy (OPAT)
Implement a real-time OPAT patient dashboard to facilitate earlier hospital discharge and automate the process of early post-discharge follow-up.
Using Machine Learning to Appropriately Triage Patients with Low Back Pain (LBP)
Develop and validate a machine learning algorithm capable of predicting patient need for spinal surgery or non-operative management utilizing elements from the electronic health record.