Donald S Wright, Naga S Kanaparthy, Edward R Melnick, Deborah R Levy, Stephen J Huot, Allen Hsiao, Lee H Schwamm, Shawn Y Ong
{"title":"环境人工智能抄写员对实习生文档负担的影响。","authors":"Donald S Wright, Naga S Kanaparthy, Edward R Melnick, Deborah R Levy, Stephen J Huot, Allen Hsiao, Lee H Schwamm, Shawn Y Ong","doi":"10.1055/a-2647-1142","DOIUrl":null,"url":null,"abstract":"<p><p>Ambient artificial intelligence scribes have become widespread commercial products in the era of generative artificial intelligence. While studies have examined the effect of these tools on the experience of attending physicians, little evidence is available regarding their use by resident physician trainees.To assess trainee experience with an ambient artificial intelligence scribe using measures of usability, acceptability, and documentation burden.This prospective observational study enrolled 47 trainees in a 2-month pilot. Pre/postsurveys were conducted with the NASA Task Load Index (NASA-TLX, raw unweighted form, pre/post, for cognitive load during the documentation), the System Usability Scale (post; general usability), the Net Promoter Score (post; acceptability), and the AMIA TrendBurden Survey (pre/post; documentation burden). Electronic health record utilization metrics were obtained from Epic Signal for both the pilot period and a 6-month baseline.In total, 43/47 (91.5%) of participants adopted the intervention in practice. NASA-TLX scores improved from 56.3 to 43.3 (<i>p</i> < 0.001), and multiple items on the TrendBurden survey improved with high measures of acceptability. No significant difference in time spent on notes activity per note written was observed, with a median increase of 0.4 minutes (<i>p</i> = 0.568).Trainee use of an ambient artificial intelligence scribe was associated with improvements in documentation burden. Additional research on the effect of this technology on trainee learning and expertise development is needed.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":"872-878"},"PeriodicalIF":2.2000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12367366/pdf/","citationCount":"0","resultStr":"{\"title\":\"The Effect of Ambient Artificial Intelligence Scribes on Trainee Documentation Burden.\",\"authors\":\"Donald S Wright, Naga S Kanaparthy, Edward R Melnick, Deborah R Levy, Stephen J Huot, Allen Hsiao, Lee H Schwamm, Shawn Y Ong\",\"doi\":\"10.1055/a-2647-1142\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Ambient artificial intelligence scribes have become widespread commercial products in the era of generative artificial intelligence. While studies have examined the effect of these tools on the experience of attending physicians, little evidence is available regarding their use by resident physician trainees.To assess trainee experience with an ambient artificial intelligence scribe using measures of usability, acceptability, and documentation burden.This prospective observational study enrolled 47 trainees in a 2-month pilot. Pre/postsurveys were conducted with the NASA Task Load Index (NASA-TLX, raw unweighted form, pre/post, for cognitive load during the documentation), the System Usability Scale (post; general usability), the Net Promoter Score (post; acceptability), and the AMIA TrendBurden Survey (pre/post; documentation burden). Electronic health record utilization metrics were obtained from Epic Signal for both the pilot period and a 6-month baseline.In total, 43/47 (91.5%) of participants adopted the intervention in practice. NASA-TLX scores improved from 56.3 to 43.3 (<i>p</i> < 0.001), and multiple items on the TrendBurden survey improved with high measures of acceptability. No significant difference in time spent on notes activity per note written was observed, with a median increase of 0.4 minutes (<i>p</i> = 0.568).Trainee use of an ambient artificial intelligence scribe was associated with improvements in documentation burden. Additional research on the effect of this technology on trainee learning and expertise development is needed.</p>\",\"PeriodicalId\":48956,\"journal\":{\"name\":\"Applied Clinical Informatics\",\"volume\":\" \",\"pages\":\"872-878\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2025-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12367366/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Clinical Informatics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1055/a-2647-1142\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/7/2 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"MEDICAL INFORMATICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Clinical Informatics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1055/a-2647-1142","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/7/2 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"MEDICAL INFORMATICS","Score":null,"Total":0}
The Effect of Ambient Artificial Intelligence Scribes on Trainee Documentation Burden.
Ambient artificial intelligence scribes have become widespread commercial products in the era of generative artificial intelligence. While studies have examined the effect of these tools on the experience of attending physicians, little evidence is available regarding their use by resident physician trainees.To assess trainee experience with an ambient artificial intelligence scribe using measures of usability, acceptability, and documentation burden.This prospective observational study enrolled 47 trainees in a 2-month pilot. Pre/postsurveys were conducted with the NASA Task Load Index (NASA-TLX, raw unweighted form, pre/post, for cognitive load during the documentation), the System Usability Scale (post; general usability), the Net Promoter Score (post; acceptability), and the AMIA TrendBurden Survey (pre/post; documentation burden). Electronic health record utilization metrics were obtained from Epic Signal for both the pilot period and a 6-month baseline.In total, 43/47 (91.5%) of participants adopted the intervention in practice. NASA-TLX scores improved from 56.3 to 43.3 (p < 0.001), and multiple items on the TrendBurden survey improved with high measures of acceptability. No significant difference in time spent on notes activity per note written was observed, with a median increase of 0.4 minutes (p = 0.568).Trainee use of an ambient artificial intelligence scribe was associated with improvements in documentation burden. Additional research on the effect of this technology on trainee learning and expertise development is needed.
期刊介绍:
ACI is the third Schattauer journal dealing with biomedical and health informatics. It perfectly complements our other journals Öffnet internen Link im aktuellen FensterMethods of Information in Medicine and the Öffnet internen Link im aktuellen FensterYearbook of Medical Informatics. The Yearbook of Medical Informatics being the “Milestone” or state-of-the-art journal and Methods of Information in Medicine being the “Science and Research” journal of IMIA, ACI intends to be the “Practical” journal of IMIA.