Pharmacists’ perceptions of artificial intelligence: A national survey
Artificial intelligence (AI) is a rapidly growing and evolving field impacting pharmacy research, education, and professional practice. The development and adaptation of AI technologies have the potential to radically shape the future of the pharmacy profession. However, it remains unclear how aware...
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| Veröffentlicht in: | Journal of the American Pharmacists Association 2024-11, p.102306, Article 102306 |
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| creator | Gustafson, Kyle A. Rowe, Casey Gavaza, Paul Bernknopf, Allison Nogid, Anna Hoffman, Alexander Jones, Ellen Showman, Leanne Miller, Victoria Abdel Aziz, May H. Brand-Eubanks, Damianne Do, Duc P. Berman, Sarah Chu, Angela Dave, Vivek Devraj, Radhika Hintze, Trager D. Munir, Faria Mohamed, Islam Ogunsanya, Motolani E. Prudencio, Jarred Singh, Divita Southwood, Robin |
| description | Artificial intelligence (AI) is a rapidly growing and evolving field impacting pharmacy research, education, and professional practice. The development and adaptation of AI technologies have the potential to radically shape the future of the pharmacy profession. However, it remains unclear how aware pharmacists are of these technologies or their perceptions regarding current and future utilization.
The purpose of this study is to describe the perceptions and awareness of artificial intelligence technologies in a population of practicing pharmacists across the United States.
A 19-question electronic survey was administered via Qualtrics to assess various AI perceptions among U.S. pharmacists. The survey ran from September 5th to November 22nd, 2023 and targeted practicing pharmacists through professional organizations and publicly available email lists. Responses were analyzed for descriptive trends and demographic analysis focusing on factors predicting AI use and were categorized into sub-focuses for detailed analysis.
A total of 1363 practicing pharmacists completed the survey. 82.5% of respondents expressed some degree of familiarity with AI software, but only 38.7% reported having used AI. Of those using AI software, the most common applications were Large Language Models (33.7%) and Image Generation (10%). 56.1% of pharmacists feel that AI will decrease the number of pharmacy jobs, and 34.9% of pharmacists express some degree of distrust of AI. Despite this, 64.1% of pharmacists feel that AI could enhance their professional effectiveness and productivity. Males appear much more likely than females to use AI (50.1% Vs. 31%, P |
| doi_str_mv | 10.1016/j.japh.2024.102306 |
| format | Article |
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The purpose of this study is to describe the perceptions and awareness of artificial intelligence technologies in a population of practicing pharmacists across the United States.
A 19-question electronic survey was administered via Qualtrics to assess various AI perceptions among U.S. pharmacists. The survey ran from September 5th to November 22nd, 2023 and targeted practicing pharmacists through professional organizations and publicly available email lists. Responses were analyzed for descriptive trends and demographic analysis focusing on factors predicting AI use and were categorized into sub-focuses for detailed analysis.
A total of 1363 practicing pharmacists completed the survey. 82.5% of respondents expressed some degree of familiarity with AI software, but only 38.7% reported having used AI. Of those using AI software, the most common applications were Large Language Models (33.7%) and Image Generation (10%). 56.1% of pharmacists feel that AI will decrease the number of pharmacy jobs, and 34.9% of pharmacists express some degree of distrust of AI. Despite this, 64.1% of pharmacists feel that AI could enhance their professional effectiveness and productivity. Males appear much more likely than females to use AI (50.1% Vs. 31%, P < .001). Younger responders also reported higher AI utilization with the highest utilization aged 23–29 (47.5%) and lowest in 60+ (25.6%, P < .001)
Understanding pharmacists' current awareness, concerns, and perspectives on AI is crucial for navigating its potential impact on the profession including potential professional utilization, addressing concerns regarding job security, ethical considerations, and regulatory uncertainty.</description><identifier>ISSN: 1544-3191</identifier><identifier>ISSN: 1544-3450</identifier><identifier>EISSN: 1544-3450</identifier><identifier>DOI: 10.1016/j.japh.2024.102306</identifier><identifier>PMID: 39615589</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><ispartof>Journal of the American Pharmacists Association, 2024-11, p.102306, Article 102306</ispartof><rights>2024</rights><rights>Copyright © 2024. Published by Elsevier Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0002-8074-758X ; 0000-0002-8604-4949 ; 0000-0003-0624-4607 ; 0000-0003-1934-3399 ; 0000-0003-3096-3951 ; 0009-0007-3547-1143 ; 0000-0002-3493-8094 ; 0000-0002-4365-2979 ; 0000-0001-7964-1959 ; 0000-0002-4852-9806 ; 0000-0002-1391-2178 ; 0000-0002-6171-7000 ; 0000-0002-4005-0446 ; 0000-0001-7827-6822 ; 0000-0003-4333-373X ; 0000-0002-5712-9038 ; 0000-0003-3356-4681 ; 0000-0003-2752-0113 ; 0009-0007-7478-8071 ; 0000-0001-6642-498X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39615589$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gustafson, Kyle A.</creatorcontrib><creatorcontrib>Rowe, Casey</creatorcontrib><creatorcontrib>Gavaza, Paul</creatorcontrib><creatorcontrib>Bernknopf, Allison</creatorcontrib><creatorcontrib>Nogid, Anna</creatorcontrib><creatorcontrib>Hoffman, Alexander</creatorcontrib><creatorcontrib>Jones, Ellen</creatorcontrib><creatorcontrib>Showman, Leanne</creatorcontrib><creatorcontrib>Miller, Victoria</creatorcontrib><creatorcontrib>Abdel Aziz, May H.</creatorcontrib><creatorcontrib>Brand-Eubanks, Damianne</creatorcontrib><creatorcontrib>Do, Duc P.</creatorcontrib><creatorcontrib>Berman, Sarah</creatorcontrib><creatorcontrib>Chu, Angela</creatorcontrib><creatorcontrib>Dave, Vivek</creatorcontrib><creatorcontrib>Devraj, Radhika</creatorcontrib><creatorcontrib>Hintze, Trager D.</creatorcontrib><creatorcontrib>Munir, Faria</creatorcontrib><creatorcontrib>Mohamed, Islam</creatorcontrib><creatorcontrib>Ogunsanya, Motolani E.</creatorcontrib><creatorcontrib>Prudencio, Jarred</creatorcontrib><creatorcontrib>Singh, Divita</creatorcontrib><creatorcontrib>Southwood, Robin</creatorcontrib><title>Pharmacists’ perceptions of artificial intelligence: A national survey</title><title>Journal of the American Pharmacists Association</title><addtitle>J Am Pharm Assoc (2003)</addtitle><description>Artificial intelligence (AI) is a rapidly growing and evolving field impacting pharmacy research, education, and professional practice. The development and adaptation of AI technologies have the potential to radically shape the future of the pharmacy profession. However, it remains unclear how aware pharmacists are of these technologies or their perceptions regarding current and future utilization.
The purpose of this study is to describe the perceptions and awareness of artificial intelligence technologies in a population of practicing pharmacists across the United States.
A 19-question electronic survey was administered via Qualtrics to assess various AI perceptions among U.S. pharmacists. The survey ran from September 5th to November 22nd, 2023 and targeted practicing pharmacists through professional organizations and publicly available email lists. Responses were analyzed for descriptive trends and demographic analysis focusing on factors predicting AI use and were categorized into sub-focuses for detailed analysis.
A total of 1363 practicing pharmacists completed the survey. 82.5% of respondents expressed some degree of familiarity with AI software, but only 38.7% reported having used AI. Of those using AI software, the most common applications were Large Language Models (33.7%) and Image Generation (10%). 56.1% of pharmacists feel that AI will decrease the number of pharmacy jobs, and 34.9% of pharmacists express some degree of distrust of AI. Despite this, 64.1% of pharmacists feel that AI could enhance their professional effectiveness and productivity. Males appear much more likely than females to use AI (50.1% Vs. 31%, P < .001). Younger responders also reported higher AI utilization with the highest utilization aged 23–29 (47.5%) and lowest in 60+ (25.6%, P < .001)
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The development and adaptation of AI technologies have the potential to radically shape the future of the pharmacy profession. However, it remains unclear how aware pharmacists are of these technologies or their perceptions regarding current and future utilization.
The purpose of this study is to describe the perceptions and awareness of artificial intelligence technologies in a population of practicing pharmacists across the United States.
A 19-question electronic survey was administered via Qualtrics to assess various AI perceptions among U.S. pharmacists. The survey ran from September 5th to November 22nd, 2023 and targeted practicing pharmacists through professional organizations and publicly available email lists. Responses were analyzed for descriptive trends and demographic analysis focusing on factors predicting AI use and were categorized into sub-focuses for detailed analysis.
A total of 1363 practicing pharmacists completed the survey. 82.5% of respondents expressed some degree of familiarity with AI software, but only 38.7% reported having used AI. Of those using AI software, the most common applications were Large Language Models (33.7%) and Image Generation (10%). 56.1% of pharmacists feel that AI will decrease the number of pharmacy jobs, and 34.9% of pharmacists express some degree of distrust of AI. Despite this, 64.1% of pharmacists feel that AI could enhance their professional effectiveness and productivity. Males appear much more likely than females to use AI (50.1% Vs. 31%, P < .001). Younger responders also reported higher AI utilization with the highest utilization aged 23–29 (47.5%) and lowest in 60+ (25.6%, P < .001)
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| title | Pharmacists’ perceptions of artificial intelligence: A national survey |
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