Artificial Intelligence (AI) in Pharmacy: An Overview of Innovations

Abstract

Artificial Intelligence (AI) emerged as an intervention for data and number-related problems. This breakthrough has led to several technological advancements in virtually all fields from engineering to architecture, education, accounting, business, health, and so on. AI has come a long way in healthcare, having played significant roles in data and information storage and management – such as patient medical histories, medicine stocks, sale records, and so on; automated machines; software and computer applications like diagnostic tools such as MRI radiation technology, CT diagnosis and many more have all been created to aid and simplify healthcare measures. Inarguably, AI has revolutionized healthcare to be more effective and efficient and the pharmacy sector is not left out. During the past few years, a considerable amount of increasing interest in the uses of AI technology has been identified for analyzing as well as interpreting some important fields of pharmacy like drug discovery, dosage form designing, polypharmacology, and hospital pharmacy. Given the growing importance of AI, we wanted to create a comprehensive report which helps every practicing pharmacist understand the biggest breakthroughs which are assisted by the deployment of this field.

Assessment of Awareness, Perceptions, and Opinions towards Artificial Intelligence among Healthcare Students in Riyadh, Saudi Arabia

“…AI works by collaborating with researchers to enhance decision-making processes for existing pharmaceuticals and expanding therapies for various ailments, as well as to speed up clinical trials by identifying suitable patients from several data sources [ 32 ]. In pharmacy and hospital settings, AI is being utilized to reduce hospital readmissions and avoid medical errors by evaluating patient data for medical and medication errors, readmission root causes, and other medical data sources [ 33 , 34 , 35 ]. Furthermore, AI serve more people in a very short period [ 33 , 34 , 35 ].…”

“…In pharmacy and hospital settings, AI is being utilized to reduce hospital readmissions and avoid medical errors by evaluating patient data for medical and medication errors, readmission root causes, and other medical data sources [ 33 , 34 , 35 ]. Furthermore, AI serve more people in a very short period [ 33 , 34 , 35 ]. Furthermore, the growth of AI technology may result in more rapid and cost-effective healthcare and pharmaceutical research, as well as better service to the general population [ 33 , 34 , 35 ].…”

Perspectives of Pharmacy Students on Ethical Issues Related to Artificial Intelligence: A Comprehensive Survey Study

“…The questionnaire (Additional le 1) was developed collaboratively with pharmacy practice and research ethics experts and grounded in a comprehensive literature review [11][12][13]. Comprising two parts, the rst section gathered sociodemographic information from the students, while the second section focused on collecting responses regarding pharmacy students' perspectives on AI integration.…”

International pharmacy students' perceptions towards artificial intelligence in medicine—A multinational, multicentre cross‐sectional study

“…In the context of pharmacy, AI holds promise in the analysis and extraction of pertinent information from clinical documents, streamlining access to relevant patient data. 9 AI systems deployed in pharmacovigilance can leverage multiple data sources to monitor and detect potential adverse drug events, thus contributing to early identification and prevention of drug-related risks. 10 AI can also expedite the drug discovery and development process, utilizing machine learning models to scrutinize extensive molecular data and pinpoint therapeutic targets.…”

“…This ability is crucial for early disease detection and the development of personalized treatment plans. In the context of pharmacy, AI holds promise in the analysis and extraction of pertinent information from clinical documents, streamlining access to relevant patient data 9 . AI systems deployed in pharmacovigilance can leverage multiple data sources to monitor and detect potential adverse drug events, thus contributing to early identification and prevention of drug‐related risks 10 .…”