Name
The Role of Artificial Intelligence in Inpatient Pharmacy
Speakers
Content Presented on Behalf of
VHA/VA
Services/Agencies represented
Veterans Health Administration/Veterans Affairs (VHA/VA)
Session Type
Posters
Room#/Location
Prince Georges Exhibit Hall
Focus Areas/Topics
Behavioral and Mental Health, Clinical Care, Medical Technology, Policy/Management/Administrative
Learning Outcomes
1. Attendees will understand how AI can automate medication dispensing, ensuring correct dosages, reducing errors, and optimizing inventory by predicting stock needs and preventing wastage through real-time monitoring.
2. Attendees will learn how AI can analyze patient data, such as medical history, genetics, and co-existing conditions, to recommend personalized treatment plans and alert healthcare providers to potential drug interactions or adverse effects.
3. Attendees will discover how AI can take over repetitive tasks like labeling and sorting medications, allowing pharmacists to focus more on patient care, and how AI can quickly verify prescription accuracy to reduce errors and accelerate medication processing.
4. Attendees will grasp how AI can proactively identify and prevent medication errors, monitor patient adherence to medication schedules, and predict potential adverse drug reactions for early intervention and improved patient outcomes.
5. Attendees will explore how AI can manage hospital pharmacy inventories efficiently, predict medication demand using real-time data, and contribute to personalized medicine by analyzing genetic data to forecast patient responses to specific treatments.
2. Attendees will learn how AI can analyze patient data, such as medical history, genetics, and co-existing conditions, to recommend personalized treatment plans and alert healthcare providers to potential drug interactions or adverse effects.
3. Attendees will discover how AI can take over repetitive tasks like labeling and sorting medications, allowing pharmacists to focus more on patient care, and how AI can quickly verify prescription accuracy to reduce errors and accelerate medication processing.
4. Attendees will grasp how AI can proactively identify and prevent medication errors, monitor patient adherence to medication schedules, and predict potential adverse drug reactions for early intervention and improved patient outcomes.
5. Attendees will explore how AI can manage hospital pharmacy inventories efficiently, predict medication demand using real-time data, and contribute to personalized medicine by analyzing genetic data to forecast patient responses to specific treatments.
Session Currently Live