Related Experiment Video
Updated: Oct 2, 2025

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
Published on: November 10, 2023
Leveraging predictive analytics to reduce influenza and COVID-19-related adverse events
1Heather Annolino is the senior director for Healthcare Practice at Ventiv Technology in Chicago, Ill.
Abstract:
Optimizing technology can help healthcare facilities better manage the risks from a potential "twindemic" of COVID-19 and influenza. This article explores the use of predictive analytics and artificial intelligence to address these risks and improve overall patient care and safety amid a simultaneous pandemic and flu season.
Related Concept Videos
Steps in Outbreak Investigation
Issues And Trends In Healthcare Delivery System
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Pharmacovigilance
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
Healthcare Associated Infections II: Preventive Measures
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
Vaccinations

