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Through the Nursing Lens: How AI Will Change Healthcare Practice and Professions. 透过护理镜头：人工智能将如何改变医疗保健实践和专业。
HealthcarePapers Pub Date : 2025-04-01 DOI: 10.12927/hcpap.2025.27573
Tracie Risling, Gillian Strudwick
{"title":"Through the Nursing Lens: How AI Will Change Healthcare Practice and Professions.","authors":"Tracie Risling, Gillian Strudwick","doi":"10.12927/hcpap.2025.27573","DOIUrl":"https://doi.org/10.12927/hcpap.2025.27573","url":null,"abstract":"<p><p>The influence of artificial intelligence (AI) is driving transformation in healthcare systems in parallel with similar disruption in other sectors and society at large. In this article, we draw on Kueper and Pandit's (2025) paper to emphasize that this global infusion of AI requires immediate attention from the world's largest group of healthcare practitioners. Nurses have a critical role to play not only in how this technology will change healthcare delivery and their professional practice but also in how it will change the world. Promising nursing-led AI initiatives include improved clinical decision making and prediction, personalized care, digital documentation and resource allocation.</p>","PeriodicalId":101342,"journal":{"name":"HealthcarePapers","volume":"22 4","pages":"32-38"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144103462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Tipping the Balance Toward Positive Futures for Patients: AI in Healthcare. 为患者的积极未来打破平衡：医疗保健中的人工智能。
HealthcarePapers Pub Date : 2025-04-01 DOI: 10.12927/hcpap.2025.27566
Jennifer Zelmer, Annette McKinnon
{"title":"Tipping the Balance Toward Positive Futures for Patients: AI in Healthcare.","authors":"Jennifer Zelmer, Annette McKinnon","doi":"10.12927/hcpap.2025.27566","DOIUrl":"https://doi.org/10.12927/hcpap.2025.27566","url":null,"abstract":"<p><p>Artificial intelligence (AI) has the potential to improve the patient and provider experience, contribute to better health outcomes, and strengthen the productivity and sustainability of health systems and advance equity. Or to do the opposite. A policy lab involving diverse interest holders identified four guiding principles to help tip the balance toward positive outcomes. Participants noted the importance of bearing in mind the unique characteristics of AI as a technology, right-sizing its use, co-designing solutions and ensuring a focus on equity. The paper also includes reflections from an experienced patient partner on how these core principles apply from her perspective.</p>","PeriodicalId":101342,"journal":{"name":"HealthcarePapers","volume":"22 4","pages":"74-77"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144103465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Workforce Investments to Accelerate Learning Health Systems With Artificial Intelligence in Northern and Rural Settings. 劳动力投资以加速北部和农村地区人工智能卫生系统的学习。
HealthcarePapers Pub Date : 2025-04-01 DOI: 10.12927/hcpap.2025.27567
Dominique Cava, Brianne Wood
{"title":"Workforce Investments to Accelerate Learning Health Systems With Artificial Intelligence in Northern and Rural Settings.","authors":"Dominique Cava, Brianne Wood","doi":"10.12927/hcpap.2025.27567","DOIUrl":"https://doi.org/10.12927/hcpap.2025.27567","url":null,"abstract":"<p><p>Northern and rural health systems experience unique challenges and opportunities for adopting artificial intelligence (AI). An embedded AI researcher could help these systems capitalize on existing strengths to better consider AI use. This professional would collect and manage meaningful health data; bridge the gap between the health workforce and AI tools; and ensure that these tools are adapted to the specific social, economic and cultural needs in the region. Critical research and use of AI tools could advance northern and rural learning health systems to achieve better outcomes while contributing to the global AI agenda.</p>","PeriodicalId":101342,"journal":{"name":"HealthcarePapers","volume":"22 4","pages":"69-73"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144103403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Artificial Intelligence for Healthcare in Canada: Contrasting Advances and Challenges. 人工智能在加拿大的医疗保健：对比进步和挑战。
HealthcarePapers Pub Date : 2025-04-01 DOI: 10.12927/hcpap.2025.27574
Jacqueline K Kueper, Jay A Pandit
{"title":"Artificial Intelligence for Healthcare in Canada: Contrasting Advances and Challenges.","authors":"Jacqueline K Kueper, Jay A Pandit","doi":"10.12927/hcpap.2025.27574","DOIUrl":"10.12927/hcpap.2025.27574","url":null,"abstract":"<p><p>Artificial intelligence (AI)-enabled tools are transforming healthcare, offering potential benefits such as alleviating administrative burdens, optimizing workflows and supporting diagnostics and personalized treatment for improved patient outcomes. With the increasing availability of AI-enabled tools, it is important to consider the potential for both benefit and harm and what is needed to support generalizable and beneficial, equitable progress. This paper provides a brief history of AI advancements leading to the current state in Canada, reviews trends in applications and research, and discusses the balancing act between achieving positive and negative outcomes. Woven throughout are high-level overviews of concepts and references to key initiatives, regulations and guidelines relevant to the Canadian context as well as more in-depth, contrasting examples to highlight how the apparent explosion of AI is happening at varied paces across applications, specialties and regions. The piece includes system- and population-level perspectives on suspected future implications and needs as the number and type of AI-enabled tools used in healthcare increases.</p>","PeriodicalId":101342,"journal":{"name":"HealthcarePapers","volume":"22 4","pages":"11-30"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144103454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Accelerating AI Adoption for Reducing Administrative Burden in Primary Care: Insights from Evaluating AI Scribes. 加速采用人工智能以减轻初级保健的行政负担：来自评估人工智能抄写员的见解。
HealthcarePapers Pub Date : 2025-04-01 DOI: 10.12927/hcpap.2025.27568
Onil Bhattacharyya, Payal Agarwal, Emily Ha, Jean Yong, Enid Montague
{"title":"Accelerating AI Adoption for Reducing Administrative Burden in Primary Care: Insights from Evaluating AI Scribes.","authors":"Onil Bhattacharyya, Payal Agarwal, Emily Ha, Jean Yong, Enid Montague","doi":"10.12927/hcpap.2025.27568","DOIUrl":"https://doi.org/10.12927/hcpap.2025.27568","url":null,"abstract":"<p><p>Artificial intelligence (AI) adoption has progressed unevenly across healthcare disciplines, even for low-risk applications aimed at easing administrative burdens. This commentary examines AI scribes as valuable tools to reduce administrative workload and improve provider well-being. A two-phase evaluation demonstrated significant reductions in documentation time and positive provider feedback, prompting provincial procurement. Highlighting the need for tailored, inclusive evaluations, we propose a structured approach to support broader AI adoption in primary care, focusing on fit-for-purpose assessments, robust simulations and diverse partnerships. This approach aims to foster equitable AI deployment across primary care settings in Canada, improving access and quality of care.</p>","PeriodicalId":101342,"journal":{"name":"HealthcarePapers","volume":"22 4","pages":"63-68"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144103388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Education and the Adoption of AI in Healthcare: "What Is Happening?" 教育和人工智能在医疗保健中的应用：“正在发生什么？”
HealthcarePapers Pub Date : 2025-04-01 DOI: 10.12927/hcpap.2025.27572
Brian D Hodges
{"title":"Education and the Adoption of AI in Healthcare: \"What Is Happening?\"","authors":"Brian D Hodges","doi":"10.12927/hcpap.2025.27572","DOIUrl":"https://doi.org/10.12927/hcpap.2025.27572","url":null,"abstract":"<p><p>Kueper and Pandit (2025) describe potential benefits and harms of technologies that incorporate artificial intelligence (AI), including bias and equity issues, effects on end-users and downstream impacts on quality of care and cost. They advocate for an iterative, life cycle approach in developing and monitoring \"trustworthy\" AI. Their model suggests that safe and effective deployment of AI requires \"training\" for end-users but leave ill-defined what such training might entail. The design of learning programs to facilitate safe incorporation of AI into healthcare must be proactive and deliberate and not an afterthought.</p>","PeriodicalId":101342,"journal":{"name":"HealthcarePapers","volume":"22 4","pages":"39-43"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144103457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
How Are Canadians Regulating Artificial Intelligence for Healthcare? A Brief Analysis of the Current Legal Directions, Challenges and Deficiencies. 加拿大人如何监管医疗保健领域的人工智能？浅析当前的法律方向、挑战与不足。
HealthcarePapers Pub Date : 2025-04-01 DOI: 10.12927/hcpap.2025.27571
Sian Hsiang-Te Tsuei
{"title":"How Are Canadians Regulating Artificial Intelligence for Healthcare? A Brief Analysis of the Current Legal Directions, Challenges and Deficiencies.","authors":"Sian Hsiang-Te Tsuei","doi":"10.12927/hcpap.2025.27571","DOIUrl":"10.12927/hcpap.2025.27571","url":null,"abstract":"<p><p>Effective regulations can ensure a minimum level of performance from artificial intelligence (AI) systems. Canadian regulators face two major categories of challenges. First, the AI-specific challenges stem from the unpredictable developments, use, evidence, and acceptable ethical trade-offs around AI systems. These uncertainties can drive the need for flexible definitions of risk, evidentiary threshold, change plan, and post hoc determination of ethical trade-off. These regulatory flexibilities could neglect impactful AI systems, allow regulatory capture, and undermine public oversight. Second, the jurisdictional challenges obfuscate the scope of products, regulatory boundaries, and division of power across regulations. Clarifying regulatory definitions, the responsibilities of professional bodies, and the need for provincial and territorial legislations may help. However, the lack of reason to believe that regulators have clear motivation and capacity to meaningfully protect patient health is worrisome.</p>","PeriodicalId":101342,"journal":{"name":"HealthcarePapers","volume":"22 4","pages":"44-51"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144103459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
What Problem Are We Trying to Solve With Artificial Intelligence for Healthcare in Canada? 在加拿大，我们试图用人工智能解决医疗保健领域的什么问题？
HealthcarePapers Pub Date : 2025-04-01 DOI: 10.12927/hcpap.2025.27575
Ashley Chisholm, Owen Adams, Sara Allin, Audrey Laporte
{"title":"What Problem Are We Trying to Solve With Artificial Intelligence for Healthcare in Canada?","authors":"Ashley Chisholm, Owen Adams, Sara Allin, Audrey Laporte","doi":"10.12927/hcpap.2025.27575","DOIUrl":"https://doi.org/10.12927/hcpap.2025.27575","url":null,"abstract":"<p><p>The application of artificial intelligence (AI) in healthcare is not a \"flash in the pan.\" As Howell et al. (2024) have described, AI has been evolving since the 1950s, from decision trees to machine learning to generative AI that can create new content. These developments were foreshadowed by science fiction writer Isaac Asimov in a story first published in 1942 in which he outlined three rules of robotics, to the effect that they must not harm humans (Asimov 1950). Fast forward to 2015; Ashrafian (2015) proposed an additional law for AI systems that interact with each other: \"all robots endowed with comparable human reason and conscience should act towards one another in a spirit of brotherhood.\"</p>","PeriodicalId":101342,"journal":{"name":"HealthcarePapers","volume":"22 4","pages":"5-9"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144103471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Training Data Tell Us a Lot About Whom Health AI Tools Are Likely to Benefit. 训练数据告诉我们很多关于健康人工智能工具可能受益的信息。
HealthcarePapers Pub Date : 2025-04-01 DOI: 10.12927/hcpap.2025.27569
Alison P Paprica
{"title":"Training Data Tell Us a Lot About Whom Health AI Tools Are Likely to Benefit.","authors":"Alison P Paprica","doi":"10.12927/hcpap.2025.27569","DOIUrl":"10.12927/hcpap.2025.27569","url":null,"abstract":"<p><p>Appropriate training data are a prerequisite for health AI tools. Policy makers, clinicians and patients can assess the datasets used to train AI models as a practical step in determining whom health AI tools are likely to benefit. Analyses of training datasets can help prioritize which health AI tools to validate and help identify where changes are needed to improve the equity of health AI.</p>","PeriodicalId":101342,"journal":{"name":"HealthcarePapers","volume":"22 4","pages":"58-62"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144103466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Achieving Health Equity for All Canadians: Is AI Currently Up to the Task? 为所有加拿大人实现健康公平：人工智能目前能胜任这项任务吗？
HealthcarePapers Pub Date : 2025-04-01 DOI: 10.12927/hcpap.2025.27570
Stephanie Garies, Jessalyn K Holodinsky, Jason E Black, Tyler Williamson
{"title":"Achieving Health Equity for All Canadians: Is AI Currently Up to the Task?","authors":"Stephanie Garies, Jessalyn K Holodinsky, Jason E Black, Tyler Williamson","doi":"10.12927/hcpap.2025.27570","DOIUrl":"10.12927/hcpap.2025.27570","url":null,"abstract":"<p><p>Artificial intelligence (AI) deployed into healthcare settings is touted as an exciting approach for improving health equity. However, several issues need to be addressed before this could be achieved, including improving the collection and use of the social determinants of health data, enhancing data interoperability, closing the digital divide and conducting rigorous assessment and evaluation of AI applications to ensure that they achieve fair and equitable outcomes in real-world settings. Importantly, we should not neglect evidence-based strategies that will truly advance health equity, such as adequate housing, poverty reduction, accessible mental healthcare, food security and many other structural and social determinants of health.</p>","PeriodicalId":101342,"journal":{"name":"HealthcarePapers","volume":"22 4","pages":"52-57"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144103452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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