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Maximizing the synergy among multiple teams is critical for Collaborative AI in Healthcare.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We have developed a series of data, tools, and educational resources for cultivating the next generation of multidisciplinary workforce for Collaborative AI in Healthcare. We built bulk\u2010natural language processing pipelines to extract structured information from clinical notes and stored them in common data models. We developed multimodal AI\/machine learning (ML) tools and tutorials to enrich the toolbox of the multidisciplinary workforce to analyze multimodal healthcare data. We have created a fertile ground to cross\u2010pollinate clinicians and AI scientists and train the next generation of AI health workforce to collaborate effectively.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Our work has democratized access to unstructured health information, AI\/ML tools and resources for healthcare, and collaborative education resources. From 2017 to 2022, this has enabled studies in multiple clinical specialties resulting in 68 peer\u2010reviewed publications. In 2022, our cross\u2010discipline efforts converged and institutionalized into the Center for Collaborative AI in Healthcare.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Our Collaborative AI in Healthcare initiatives has created valuable educational and practical resources. They have enabled more clinicians, scientists, and hospital administrators to successfully apply AI methods in their daily research and practice, develop closer collaborations, and advanced the institution\u2010level learning health system.<\/jats:p><\/jats:sec>","DOI":"10.1002\/lrh2.10417","type":"journal-article","created":{"date-parts":[[2024,4,15]],"date-time":"2024-04-15T07:40:14Z","timestamp":1713166814000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Northwestern University resource and education development initiatives to advance collaborative artificial intelligence across the learning health system"],"prefix":"10.1002","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0195-7456","authenticated-orcid":false,"given":"Yuan","family":"Luo","sequence":"first","affiliation":[{"name":"Northwestern University Clinical and Translational Sciences Institute  Chicago Illinois USA"},{"name":"Institute for Augmented Intelligence in Medicine Northwestern University  Chicago Illinois USA"},{"name":"Division of Health and Biomedical Informatics, Department of Preventive Medicine Northwestern University Feinberg School of Medicine  Chicago Illinois USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chengsheng","family":"Mao","sequence":"additional","affiliation":[{"name":"Northwestern University Clinical and Translational Sciences Institute  Chicago Illinois USA"},{"name":"Institute for Augmented Intelligence in Medicine Northwestern University  Chicago Illinois USA"},{"name":"Division of Health and Biomedical Informatics, Department of Preventive Medicine Northwestern University Feinberg School of Medicine  Chicago Illinois USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lazaro N.","family":"Sanchez\u2010Pinto","sequence":"additional","affiliation":[{"name":"Division of Health and Biomedical Informatics, Department of Preventive Medicine Northwestern University Feinberg School of Medicine  Chicago Illinois USA"},{"name":"Division of Critical Care, Department of Pediatrics Northwestern University Feinberg School of Medicine  Chicago Illinois USA"},{"name":"Stanley Manne Children's Research Institute Ann &amp; Robert H. 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