Md Ismail Ahamed Fahim , Tamanna Shahrin Tonny , Abdullah Al Noman
{"title":"实现人工智能在药学实践中的潜力:采用人工智能的障碍与途径","authors":"Md Ismail Ahamed Fahim , Tamanna Shahrin Tonny , Abdullah Al Noman","doi":"10.1016/j.ipha.2024.02.003","DOIUrl":null,"url":null,"abstract":"<div><p>Artificial intelligence (AI) has immense potential to revolutionize pharmacy operations by simplifying procedures, improving efficiency, and expediting pharmaceutical research. Nevertheless, obstacles such as steep expenses, absence of faith in AI, worries about unemployment, threats to privacy, and the incapacity to substitute human decision-making have impeded acceptance. This text discusses the future of AI in the field of pharmacy, obstacles that are preventing its usage, and methods to make its integration easier. The expansion of large data in healthcare offers chances for AI to obtain understanding, but examining and implementing information still presents difficulties. Significant obstacles such as costly implementation, safety concerns, restrictions on data exchange by regulations, and absence of interpersonal interaction need to be resolved. Methods to facilitate acceptance involve upgrading medical instruction to center around AI, involving interested parties, allocating resources for research and development, creating safeguarded machine learning methods, and carefully incorporating AI to enhance, rather than replace, pharmacy personnel. Although additional effort is required to establish confidence in AI and address genuine worries, specific actions can tap into AI's capacity to enhance effectiveness, lower expenses, expedite drug exploration, and improve healthcare for patients. Responsible and moral adoption requires tackling obstacles through cooperation among interested parties and gradual incorporation centered on enhancing human workforce, rather than substituting them.</p></div>","PeriodicalId":100682,"journal":{"name":"Intelligent Pharmacy","volume":"2 3","pages":"Pages 308-311"},"PeriodicalIF":0.0000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949866X24000261/pdfft?md5=0622010e4672dd638ce8e411e0b8a060&pid=1-s2.0-S2949866X24000261-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Realizing the potential of AI in pharmacy practice: Barriers and pathways to adoption\",\"authors\":\"Md Ismail Ahamed Fahim , Tamanna Shahrin Tonny , Abdullah Al Noman\",\"doi\":\"10.1016/j.ipha.2024.02.003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Artificial intelligence (AI) has immense potential to revolutionize pharmacy operations by simplifying procedures, improving efficiency, and expediting pharmaceutical research. Nevertheless, obstacles such as steep expenses, absence of faith in AI, worries about unemployment, threats to privacy, and the incapacity to substitute human decision-making have impeded acceptance. This text discusses the future of AI in the field of pharmacy, obstacles that are preventing its usage, and methods to make its integration easier. The expansion of large data in healthcare offers chances for AI to obtain understanding, but examining and implementing information still presents difficulties. Significant obstacles such as costly implementation, safety concerns, restrictions on data exchange by regulations, and absence of interpersonal interaction need to be resolved. Methods to facilitate acceptance involve upgrading medical instruction to center around AI, involving interested parties, allocating resources for research and development, creating safeguarded machine learning methods, and carefully incorporating AI to enhance, rather than replace, pharmacy personnel. Although additional effort is required to establish confidence in AI and address genuine worries, specific actions can tap into AI's capacity to enhance effectiveness, lower expenses, expedite drug exploration, and improve healthcare for patients. Responsible and moral adoption requires tackling obstacles through cooperation among interested parties and gradual incorporation centered on enhancing human workforce, rather than substituting them.</p></div>\",\"PeriodicalId\":100682,\"journal\":{\"name\":\"Intelligent Pharmacy\",\"volume\":\"2 3\",\"pages\":\"Pages 308-311\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2949866X24000261/pdfft?md5=0622010e4672dd638ce8e411e0b8a060&pid=1-s2.0-S2949866X24000261-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Intelligent Pharmacy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2949866X24000261\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Intelligent Pharmacy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949866X24000261","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Realizing the potential of AI in pharmacy practice: Barriers and pathways to adoption
Artificial intelligence (AI) has immense potential to revolutionize pharmacy operations by simplifying procedures, improving efficiency, and expediting pharmaceutical research. Nevertheless, obstacles such as steep expenses, absence of faith in AI, worries about unemployment, threats to privacy, and the incapacity to substitute human decision-making have impeded acceptance. This text discusses the future of AI in the field of pharmacy, obstacles that are preventing its usage, and methods to make its integration easier. The expansion of large data in healthcare offers chances for AI to obtain understanding, but examining and implementing information still presents difficulties. Significant obstacles such as costly implementation, safety concerns, restrictions on data exchange by regulations, and absence of interpersonal interaction need to be resolved. Methods to facilitate acceptance involve upgrading medical instruction to center around AI, involving interested parties, allocating resources for research and development, creating safeguarded machine learning methods, and carefully incorporating AI to enhance, rather than replace, pharmacy personnel. Although additional effort is required to establish confidence in AI and address genuine worries, specific actions can tap into AI's capacity to enhance effectiveness, lower expenses, expedite drug exploration, and improve healthcare for patients. Responsible and moral adoption requires tackling obstacles through cooperation among interested parties and gradual incorporation centered on enhancing human workforce, rather than substituting them.