{"title":"The Evolving Landscape of Primary Healthcare: Exploring AI Readiness of the Dutch General Practitioners.","authors":"Zehraa Al-Bikkalli, Rudy Douven, Iris Wallenburg, Habibollah Pirnejad","doi":"10.3233/SHTI250042","DOIUrl":null,"url":null,"abstract":"<p><p>This study explores the readiness of Dutch general practitioners (GPs) to adopt artificial intelligence (AI) technologies in primary healthcare (PHC) using an expanded Technology Acceptance Model (TAM). The model assesses perceived usefulness (PU), perceived ease of use (PEU), and perceived societal impact (PSI) of AI. A self-administered online questionnaire gathered responses from 224 GPs regarding their demographics, AI knowledge, and perceptions of AI in PHC. Significant relationships were found between PU and \"intention to use AI\", as well as between \"intention to use\" and \"actual use\". Knowledge about AI was significantly correlated with PU. However, no significant relationships were found between PEU and \"intention to use\" and between PSI and \"intention to use\". Age, gender, and years of experience had significant relation with PU, with younger age, male gender reporting higher PU. Overall, the study highlights that Dutch GPs, particularly younger GPs are ready to adopt AI-based technologies.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"31-35"},"PeriodicalIF":0.0000,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Studies in health technology and informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/SHTI250042","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This study explores the readiness of Dutch general practitioners (GPs) to adopt artificial intelligence (AI) technologies in primary healthcare (PHC) using an expanded Technology Acceptance Model (TAM). The model assesses perceived usefulness (PU), perceived ease of use (PEU), and perceived societal impact (PSI) of AI. A self-administered online questionnaire gathered responses from 224 GPs regarding their demographics, AI knowledge, and perceptions of AI in PHC. Significant relationships were found between PU and "intention to use AI", as well as between "intention to use" and "actual use". Knowledge about AI was significantly correlated with PU. However, no significant relationships were found between PEU and "intention to use" and between PSI and "intention to use". Age, gender, and years of experience had significant relation with PU, with younger age, male gender reporting higher PU. Overall, the study highlights that Dutch GPs, particularly younger GPs are ready to adopt AI-based technologies.