Abstract

REVIEW ON ARTIFICIAL INTELLIGECE IN HOSPITAL AND COMMUNITY PHARMACY

Dr. Vijaya Sindhuri Gopu*, Kishore B., Dr. Vasavi Pachika, Dr. A. Muralidhar Rao

Abstract

Artificial Intelligence (AI) emerged as an intervention, for data safety problems. AI has an important role in analyzing patient care, safety, improving medication management and optimizing inventory in hospital pharmacies.[5] AI played an important role in hospital and community pharmacy`s in modern days. Various advancements in AI have been observed within hospital pharmacies, particularly in pharmacy supply chain management, Computerized Provider Order Entry (CPOE), Clinical Decision Support System (CDSS), automated dispensing systems, automated prescription filling and the identification of medication errors.[3] AI in clinical and hospital pharmacies has great ability to analyze how medications are prescribed, dispensed, administered, and monitored. However, we know AI systems use large amounts of patient data, privacy, and cybersecurity are major concerns. By analyzing large volumes of healthcare data, AI can identify patterns and predict outcomes, which is useful in healthcare organizations to make the professionals better decisions and achieve better results.[1] By using the AI algorithms, hospital pharmacists can analyze a vast amount of patient data, including laboratory results, medical records, and aiding them in recognize the potential drug–drug interactions, assessing the safety and efficacy of medicines. In Hospital and Health System pharmacies, the application of machine learning and natural language processing to access and analyse the unstructured, free-text information captured in millions of electronic health records may become an essential tool to improve patient care and perform real-time evaluations of the safety and efficacy of the available drugs.[3] Hospital pharmacists who master AI will play a crucial role in future. The introduction of AI into clinical pharmacy and hospital settings appears an transformative factor, improve patient safety, and shape a more active and efficient future for the pharmacy professionals.

Keywords: Supply chain management, automated dispensing systems, cybersecurity, natural language processing, electronic health records.