School
School of Healthcare Business and Technology
Department
School of Healthcare Business and Technology
About
Adrienne Saffron designs and optimizes clinical informatics systems to deliver integrated, user-centered performance. They leverage artificial intelligence and data science to improve patient care and health outcomes.
As leader of a Clinical Informatics team, Saffron oversees system implementation and customization, drives analytics-based improvements and guides the development of clinical decision-support tools. Their work spans multiple areas of healthcare, including cancer care, genetics, primary care and specialties such as pediatrics, cardiology, obstetrics and gynecology, psychiatry and neurology.
Education
- DHA in Healthcare Administration (Healthcare Informatics Specialization), MCPHS
- MSHCI in Healthcare Informatics, University of San Diego
- BSN, Azusa Pacific University
Research Interests
- Evaluate whether improving EHR usability reduces physician cognitive workload and enhances clinical decision-making
- Design and optimize user-centered clinical informatics systems using artificial intelligence (AI) and data science
- Develop and assess analytics-driven clinical decision support tools integrated into real-world workflows
- Study informatics interventions across diverse clinical domains, including cancer care, genetics, primary care, pediatrics, cardiology, OB/GYN, psychiatry, and neurology
- Examine the impact of EHR usability on clinician efficiency, burnout, and patient outcomes
Featured Affiliations
American Medical Informatics Association
WebsiteAmerican College of Healthcare Executives
WebsiteAdvisory Board Member, University of California, Santa Barbara, Customer Experience Program
WebsiteEducation
- DHA in Healthcare Administration (Healthcare Informatics Specialization), MCPHS
- MSHCI in Healthcare Informatics, University of San Diego
- BSN, Azusa Pacific University
Research Interests
- Evaluate whether improving EHR usability reduces physician cognitive workload and enhances clinical decision-making
- Design and optimize user-centered clinical informatics systems using artificial intelligence (AI) and data science
- Develop and assess analytics-driven clinical decision support tools integrated into real-world workflows
- Study informatics interventions across diverse clinical domains, including cancer care, genetics, primary care, pediatrics, cardiology, OB/GYN, psychiatry, and neurology
- Examine the impact of EHR usability on clinician efficiency, burnout, and patient outcomes