Npj health systemsPub Date : 2025-01-01Epub Date: 2025-01-25DOI: 10.1038/s44401-024-00009-w
Betina Idnay, Zihan Xu, William G Adams, Mohammad Adibuzzaman, Nicholas R Anderson, Neil Bahroos, Douglas S Bell, Cody Bumgardner, Thomas Campion, Mario Castro, James J Cimino, I Glenn Cohen, David Dorr, Peter L Elkin, Jungwei W Fan, Todd Ferris, David J Foran, David Hanauer, Mike Hogarth, Kun Huang, Jayashree Kalpathy-Cramer, Manoj Kandpal, Niranjan S Karnik, Avnish Katoch, Albert M Lai, Christophe G Lambert, Lang Li, Christopher Lindsell, Jinze Liu, Zhiyong Lu, Yuan Luo, Peter McGarvey, Eneida A Mendonca, Parsa Mirhaji, Shawn Murphy, John D Osborne, Ioannis C Paschalidis, Paul A Harris, Fred Prior, Nicholas J Shaheen, Nawar Shara, Ida Sim, Umberto Tachinardi, Lemuel R Waitman, Rosalind J Wright, Adrian H Zai, Kai Zheng, Sandra Soo-Jin Lee, Bradley A Malin, Karthik Natarajan, W Nicholson Price Ii, Rui Zhang, Yiye Zhang, Hua Xu, Jiang Bian, Chunhua Weng, Yifan Peng
{"title":"Environment scan of generative AI infrastructure for clinical and translational science.","authors":"Betina Idnay, Zihan Xu, William G Adams, Mohammad Adibuzzaman, Nicholas R Anderson, Neil Bahroos, Douglas S Bell, Cody Bumgardner, Thomas Campion, Mario Castro, James J Cimino, I Glenn Cohen, David Dorr, Peter L Elkin, Jungwei W Fan, Todd Ferris, David J Foran, David Hanauer, Mike Hogarth, Kun Huang, Jayashree Kalpathy-Cramer, Manoj Kandpal, Niranjan S Karnik, Avnish Katoch, Albert M Lai, Christophe G Lambert, Lang Li, Christopher Lindsell, Jinze Liu, Zhiyong Lu, Yuan Luo, Peter McGarvey, Eneida A Mendonca, Parsa Mirhaji, Shawn Murphy, John D Osborne, Ioannis C Paschalidis, Paul A Harris, Fred Prior, Nicholas J Shaheen, Nawar Shara, Ida Sim, Umberto Tachinardi, Lemuel R Waitman, Rosalind J Wright, Adrian H Zai, Kai Zheng, Sandra Soo-Jin Lee, Bradley A Malin, Karthik Natarajan, W Nicholson Price Ii, Rui Zhang, Yiye Zhang, Hua Xu, Jiang Bian, Chunhua Weng, Yifan Peng","doi":"10.1038/s44401-024-00009-w","DOIUrl":"10.1038/s44401-024-00009-w","url":null,"abstract":"<p><p>This study reports a comprehensive environmental scan of the generative AI (GenAI) infrastructure in the national network for clinical and translational science across 36 institutions supported by the CTSA Program led by the National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health (NIH) at the United States. Key findings indicate a diverse range of institutional strategies, with most organizations in the experimental phase of GenAI deployment. The results underscore the need for a more coordinated approach to GenAI governance, emphasizing collaboration among senior leaders, clinicians, information technology staff, and researchers. Our analysis reveals that 53% of institutions identified data security as a primary concern, followed by lack of clinician trust (50%) and AI bias (44%), which must be addressed to ensure the ethical and effective implementation of GenAI technologies.</p>","PeriodicalId":520349,"journal":{"name":"Npj health systems","volume":"2 1","pages":"4"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11762411/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143054720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Npj health systemsPub Date : 2024-01-01Epub Date: 2024-12-23DOI: 10.1038/s44401-024-00006-z
Jiajie Zhang, Susan H Fenton
{"title":"Preparing healthcare education for an AI-augmented future.","authors":"Jiajie Zhang, Susan H Fenton","doi":"10.1038/s44401-024-00006-z","DOIUrl":"10.1038/s44401-024-00006-z","url":null,"abstract":"<p><p>Artificial intelligence (AI) fundamentally transforms healthcare education as a knowledge enterprise, creating a distributed cognitive system composed of the human brain, which remains relatively unchanged, and AI-based knowledge and cognitive functions, which have accelerated exponentially in scale and power. Education must focus on developing skills to collaborate with AI and on achieving outcomes like problems solved and discoveries made. Curriculum and education policies also need to adapt to this transformation.</p>","PeriodicalId":520349,"journal":{"name":"Npj health systems","volume":"1 1","pages":"4"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11666452/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142901590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Npj health systemsPub Date : 2024-01-01Epub Date: 2024-12-05DOI: 10.1038/s44401-024-00002-3
Jiang Bian, Nan Liu, Shauna M Overgaard, Rema Padman, Peter A D Steel, Victoria Tiase, Clifford Alan Whitcomb, Jiajie Zhang, Yiye Zhang
{"title":"Transdisciplinary perspectives for health systems science.","authors":"Jiang Bian, Nan Liu, Shauna M Overgaard, Rema Padman, Peter A D Steel, Victoria Tiase, Clifford Alan Whitcomb, Jiajie Zhang, Yiye Zhang","doi":"10.1038/s44401-024-00002-3","DOIUrl":"10.1038/s44401-024-00002-3","url":null,"abstract":"<p><p>Health systems science uses systems thinking as part of a transdisciplinary approach that transcends traditional disciplinary boundaries. It integrates and synthesizes knowledge from multiple disciplines to address real-world problems in healthcare with pragmatic solutions. This editorial defines health systems from the perspectives of systems thinking, science, and engineering, discusses their current challenges and opportunities, and envisions how health systems science as a field can advance the continuous learning and improvement of health systems.</p>","PeriodicalId":520349,"journal":{"name":"Npj health systems","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11722168/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142974508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Npj health systemsPub Date : 2024-01-01Epub Date: 2024-12-05DOI: 10.1038/s44401-024-00001-4
James Anibal, Jasmine Gunkel, Shaheen Awan, Hannah Huth, Hang Nguyen, Tram Le, Jean-Christophe Bélisle-Pipon, Micah Boyer, Lindsey Hazen, Yael Bensoussan, David Clifton, Bradford Wood
{"title":"The doctor will polygraph you now.","authors":"James Anibal, Jasmine Gunkel, Shaheen Awan, Hannah Huth, Hang Nguyen, Tram Le, Jean-Christophe Bélisle-Pipon, Micah Boyer, Lindsey Hazen, Yael Bensoussan, David Clifton, Bradford Wood","doi":"10.1038/s44401-024-00001-4","DOIUrl":"https://doi.org/10.1038/s44401-024-00001-4","url":null,"abstract":"<p><p>Artificial intelligence (AI) methods have been proposed for the prediction of social behaviors that could be reasonably understood from patient-reported information. This raises novel ethical concerns about respect, privacy, and control over patient data. Ethical concerns surrounding clinical AI systems for social behavior verification can be divided into two main categories: (1) the potential for inaccuracies/biases within such systems, and (2) the impact on trust in patient-provider relationships with the introduction of automated AI systems for \"fact-checking\", particularly in cases where the data/models may contradict the patient. Additionally, this report simulated the misuse of a verification system using patient voice samples and identified a potential LLM bias against patient-reported information in favor of multi-dimensional data and the outputs of other AI methods (i.e., \"AI self-trust\"). Finally, recommendations were presented for mitigating the risk that AI verification methods will cause harm to patients or undermine the purpose of the healthcare system.</p>","PeriodicalId":520349,"journal":{"name":"Npj health systems","volume":"1 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11698301/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142934411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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