Our researchers are applying cutting-edge information and communication technologies to improve healthcare delivery and health outcomes. In their research, faculty study the use of wearable devices, mobile health, telehealth, health information technology, and telemedicine. To manage the large amounts of data digital health generates, faculty apply machine learning and other cutting-edge data analytics.
Current Related Projects
Community Engagement
An AI-Powered Decision Aid for Advancing Women’s Health Choices
Kandyce Brennan, DNP, CNM
Digital Innovation
CIVIC-PG Track B: Integrating Drone Delivery of AEDs Into EMS Response (IN-AIR) Study
Jessica Zègre-Hemsey, PhD, RN, FAHA
Digital Innovation
Re-examining links between screen time, health behaviors, and executive functioning
Cathi Propper, PhD
Digital Innovation
Real World Treatment Experience of Patients with Acute Myelogenous Leukemia and Lung Cancer Using Remote Symptom Monitoring
Ashley Leak Bryant, PhD, RN, OCN, FAAN
Digital Innovation
Center for Virtual Care Value and Excellence
Saif Khairat, PhD, MPH
Digital Innovation
Improving Providers’ Decision-Making and Reducing Information Overload Using Information Visualization in Electronic Health Records
Saif Khairat, PhD, MPHAdditional Digital Innovation Research Projects
- The Recognize and Report Heart Symptoms (REHEARSE)-2 Trial | Dr. Leslie Davis | Funded by Sigma Theta Tau International Alpha Alpha Chapter
- REHEARSE 2: The Recognize and Report Heart Symptoms Pilot | Dr. Leslie Davis | Funded by a 2023 Deans Office Pilot Grant
- Rehearse Self-care | Dr. Leslie Davis | Funded by the American Association of Nurse Practitioners (AANP)
- Predictive Modeling to Support Safe Discharges of COVID-19 Patients in the Emergency Department | Dr. Saif Khairat | Funded by MedStar Health Research Institute
- Evaluation of Virtual Nursing Program to Combat Nursing Workforce Challenges | Dr. Saif Khairat | Funded by a 2023 Deans Office Pilot Grant
- Electrocardiographic Detection of Non-ST Elevation Myocardial Events for Accelerated Classification of Chest Pain Encounters (ECG-SMART-2) | Dr. Jessica Zègre-Hemsey | Funded by University of Pittsburgh
Areas of Excellence in Research and Scholarship
