A5067976643- Antimicrobial Resistance in Staphylococcus
- Health Systems, Economic Evaluations, Quality of Life
- Vaccine Coverage and Hesitancy
- COVID-19 diagnosis using AI
- AI in cancer detection
- Respiratory viral infections research
- Streptococcal Infections and Treatments
- Mycobacterium research and diagnosis
- Antibiotic Use and Resistance
- Influenza Virus Research Studies
- Neonatal and Maternal Infections
- Patient-Provider Communication in Healthcare
- Machine Learning in Healthcare
- Misinformation and Its Impacts
- Biosimilars and Bioanalytical Methods
- Healthcare Policy and Management
- Biomedical Ethics and Regulation
- Nasal Surgery and Airway Studies
Geisinger Health System
2013-2023
Geisinger Medical Center
2013-2017
Influenza vaccinations are recommended for high-risk individuals, but few population-based strategies exist to identify individual risks. Patient-level data from unvaccinated stratified into retrospective cases (n = 111,022) and controls 2,207,714), informed a machine learning model designed create an influenza risk score; the was called Geisinger Flu-Complications Flag (GFlu-CxFlag). The flag created validated on cohort of 604,389 unique individuals. Risk scores were generated cases;...
Artificial Intelligence (AI) is increasingly used in healthcare to identify patients needing intervention, but evidence from laboratory studies mixed about whether exhibit aversion or appreciation for AI use their care. As a field test of algorithm appreciation, four large-scale preregistered randomized controlled trials, totaling over 100,000 unique patients, encouraged influenza vaccination identified by previously validated machine-learning be at high risk flu and flu-related...