Name
#189 The Role of Artificial Intelligence in Inpatient Pharmacy
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 A/B
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.
Session Currently Live
Description
AI is revolutionizing healthcare, especially in inpatient pharmacy. It can boost efficiency, minimize errors, and improve patient care. Medication Management and Dispensing Robots and AI algorithms can ensure that medications are dispensed with the correct dosage, significantly reducing the chances of human error. AI can monitor inventory levels in real-time, predict stock needs, prevent shortages, and minimize wastage caused by expired medications. Using barcode scanning and machine learning, AI can verify prescriptions against a patient's medical history and current medications, reducing the risk of adverse drug interactions or allergic reactions. Clinical Decision Support AI can analyze a patient's medication regimen and alert healthcare providers about potential drug-drug interactions, thus preventing harmful effects. By considering patient data like genetic factors, allergies, and co-existing conditions, AI can recommend the most suitable medication and dosage for individual patients, ultimately improving treatment outcomes. Moreover, AI can utilize historical and real-time data to predict potential adverse reactions or the likelihood of readmission, enabling healthcare providers to intervene proactively. Streamlining Workflow and Reducing Human Error By taking over time-consuming tasks such as labeling, packing, and sorting medications, AI can allow pharmacists to dedicate more time to patient care and clinical decision-making. AI systems can cross-referencing prescription orders with databases and patient records, identifying inconsistencies to ensure the accurate administration of medications. AI can significantly accelerate prescription processing times during busy periods, guaranteeing that patients receive their medications promptly and without any hindrances. Enhanced Patient Safety and Care AI technology can identify errors in advance, such as incorrect dosages, drugs with similar names, or discrepancies between a patient's medical history and prescriptions. Additionally, AI can examine patient data to detect early signs of adverse drug reactions and promptly alert healthcare providers so that preventive actions can be taken before any complications arise. Moreover, AI-powered systems can alert healthcare teams if patients are not following their prescribed medication schedule or missing doses, ultimately improving treatment outcomes. Optimizing Inventory and Supply Chain Management AI algorithms can use patient admission rates, seasonal variations, and historical data to predict medication needs. This helps hospitals efficiently manage their inventory. AI can also reduce medication wastage by accurately predicting demand and expiration dates, ensuring that the pharmacy only stocks what is necessary. By improving inventory management, AI can reduce unnecessary orders and ensure optimal purchasing, leading to significant cost savings for healthcare institutions. Pharmacogenomics and Personalized Medicine AI can analyze intricate genetic data to forecast how patients react to certain medications. This ability enables the creation of tailored treatment plans. By considering individual genetic differences, AI can assist in determining the most suitable dosage with minimal side effects, resulting in more personalized and efficient care. AI can revolutionize inpatient pharmacies by automating tasks, improving accuracy, supporting clinical decisions, enhancing patient safety, and optimizing inventory management.