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It notes enthusiasm and limited critical appraisal, describing the “hype” movement and a need to bend adoption toward safe, appropriate use. It outlines priorities: interoperable digital platforms, reliable AI for documentation and clinical decision support, effective digital skills, and maintaining holistic patient-centered care. It also proposes guidance, identifies knowledge gaps and conflicts of interest, and calls for real-world research plus a publisher AI disclosure policy.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/the-future-is-now-towards-intelligent-use-of-generative-ai-in-general-practice-editorial/456499/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/the-future-is-now-towards-intelligent-use-of-generative-ai-in-general-practice-editorial/456499.png","ImageObject",300,407,{"name":92,"@type":93},"jay","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-07","2026-09-30",true,{"@type":102,"interactionType":103,"userInteractionCount":34},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"Why does the editorial argue that healthcare needs “intelligent use” of Generative AI now?","Question",{"text":112,"@type":113},"It contrasts the usual slow pace of implementing innovations in healthcare with the rapid enthusiasm for Generative AI despite limited critical assessment. The piece argues that adoption should be redirected toward appropriate and intelligent use rather than hype.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What guidance does the editorial emphasize for responsible Generative AI in general practice?",{"text":117,"@type":113},"It stresses that AI should support—not override—professional judgement and clinical autonomy through a “human-in-the-loop” approach. It also points to international guidelines to separate reliable evidence from poor-quality claims.",{"name":119,"@type":110,"acceptedAnswer":120},"What kind of research is requested regarding Generative AI in general practice?",{"text":121,"@type":113},"The editorial calls for quantitative, qualitative, or mixed-method studies assessing effects on patient outcomes and GP workloads, including benefits and harms. It favors real-world testing over strictly controlled experimental designs and asks for careful evaluation of bias, adoption, and scalability.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},456499,1791094069,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":34,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":81,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":39,"preview_page_count":4},3985747858866,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","EuropEan Journal of GEnEral practicE 2026, Vol. 32, no. 1, 2602356  \n[https://doi.org/10.1080/13814788.2025.2602356](https://doi.org/10.1080/13814788.2025.2602356)  \nEditorial     \nThe future is now: Towards intelligent use of Generative AI in general practice  \nit usually takes years to introduce and implement an innovation in health care. Changing behaviour, routines, and habits seems to be difficult, especially when the benefits are small or [unclear. in](unclear. in) contrast, Generative ai (Gen ai) has been introduced and is increasingly used in healthcare and other domains of society with enthusiasm, but with limited critical assessment. the movement has been characterised as hype [1] . thereis a need to bend the curve towards appropriate and intelligent use.  \nrecently, we published a paper outlining the potential role, opportunities, and challenges of Generative ai (Gen ai) in general practice [2] . We are not ready yet, and we still have a bucket list to address [3] . these include developing safe and interoperable digital platforms, reliable ai tools for automatic documentation and clinical decision support, digital skills to use ai tools effectively, and self-confidence to maintain a holistic and personalised approach in general practice.  \nNeed for guidance  \nai should support and not override professional judgement and clinical autonomy, keeping the‘human-in-the-loop’ [4] . international guidelines are available for the responsible use of Gen ai in clinical practice and research [5,6] . Following the recommendations can help separate the wheat from the chaff and ensure evidence-based healthcare.  \nin general practice, however, there is a significant knowledge gap regarding the effects of using Gen ai. available examples are anecdotal, and studies are not conducted in real daily practice. Conflicts of interest can arise when tools are developed by commercial companies or start-ups. Co-creation and validation with GPs to build trust, detect bias, and ensure practical relevance are often lacking. UK GPs expressed concerns about increased workload, extra, unnecessary patient tests, and appropriateness for different population groups [7] .  \nCall for research papers  \nStudies assessing the effects of Gen ai can be quantitative, qualitative, or mixed methods, taking into account the specific context of GPs and patients involved. real-world testing offers greater added value than experimental studies with strictly controlled conditions that limit the generalisability of the findings. High-quality studies should assess bias and discuss the potential benefits and harms, adoption, and scalability of the intervention [8] .  \nWe welcome research articles exploring the development, evaluation, implementation, or ethical implications of ai tools in general practice. We are particularly interested in studies that examine the effects of using Gen ai tools on relevant patient outcomes and GP workloads, including potential benefits and harms. ideally, the use of ai should lead to less computer time and more time for patient care, and keep staff in the workplace longer. We will collect all published articles in an EJGP Collection on artificial intelligence, which will promote reading and citation.  \nPublisher’s AI policy  \nresponsible use of Gen ai in writing research papers is also encouraged. this means that authors of manuscripts are allowed to use Gen ai, provided that they follow the ai policy of the Publisher [[https://](https://)[ ](https://)[taylorandfrancis.com/our-policies/ai-policy/](taylorandfrancis.com/our-policies/ai-policy/)] and clearly acknowledge the use of Gen ai tools through a statement. this includes the full name of the tool used, how it was used, and the reason for [use. an](use. an) example of acknowledgement can be found in Box 1.  \nBox 1 Example acknowledgement of using ai [9]  \nWe used the following ai applications for writing and language support: Grammarly, an add-in application for writing assistance (","cbCaiu5mte9JrXaT","https://ap.wps.com/l/cbCaiu5mte9JrXaT","pdf",384087,"English","# Need for guidance\n# Call for research papers\n# Publisher’s AI policy\n# Advancing general practice\n# Disclosure statement\n# ORCID\n# References","[{\"question\":\"Why does the editorial argue that healthcare needs “intelligent use” of Generative AI now?\",\"answer\":\"It contrasts the usual slow pace of implementing innovations in healthcare with the rapid enthusiasm for Generative AI despite limited critical assessment. The piece argues that adoption should be redirected toward appropriate and intelligent use rather than hype.\"},{\"question\":\"What guidance does the editorial emphasize for responsible Generative AI in general practice?\",\"answer\":\"It stresses that AI should support—not override—professional judgement and clinical autonomy through a “human-in-the-loop” approach. It also points to international guidelines to separate reliable evidence from poor-quality claims.\"},{\"question\":\"What kind of research is requested regarding Generative AI in general practice?\",\"answer\":\"The editorial calls for quantitative, qualitative, or mixed-method studies assessing effects on patient outcomes and GP workloads, including benefits and harms. It favors real-world testing over strictly controlled experimental designs and asks for careful evaluation of bias, adoption, and scalability.\"}]","The future is now: Towards intelligent use of Generative AI in general practice - Editorial | PDF",1790746241]