{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T06:51:08Z","timestamp":1791615068763,"version":"4.3.4"},"reference-count":9,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T00:00:00Z","timestamp":1791504000000},"content-version":"vor","delay-in-days":8,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Learning Health Systems"],"published-print":{"date-parts":[[2026,10]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Health systems are expanding access to artificial intelligence (AI), yet frontline integration into teaching, clinical workflows, and research practice remains uneven. We frame this gap as the \u201cAI embedding deficit,\u201d reflecting limited organizational pathways that enable frontline professionals to translate local needs into legitimate, supported, and sustainable AI\u2010enabled tools and workflows. This Experience Report describes a prototype intervention mechanism implemented at an academic nursing school: a rapid\u2010cycle Nursing\u2010AI Challenge followed by a year\u2010round Nursing\u2010AI Studio (NAIS) designed to stabilize and scale embedding.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We implemented the Nursing\u2010AI Challenge as a structured, time\u2010bounded mechanism to solicit real\u2010world challenges from nursing faculty, translate and curate submissions through an interdisciplinary facilitation role, match challenges to AI trainees and mentors, and support rapid proposal development culminating in a public showcase. We then developed NAIS to address continuity and embedding barriers revealed in the Challenge, incorporating continuous intake, environmental scanning, supported co\u2010development, year\u2010round coordination, formalized interdisciplinary partnerships, and a strategic memorandum of understanding with the Chief Information Officer's office to support legitimate integration pathways.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>In the inaugural Challenge cycle (Spring 2025), nursing faculty identified 17 challenges spanning education, clinical practice, and research, and students in AI\u2010related fields submitted eight proposals, followed by team formation, co\u2010design of the AI prototypes, and a public showcase event. Implementation reflections identified key sustainability barriers including semester\u2010bounded participation, summer momentum gaps, and intellectual property ambiguity. NAIS was established (Fall 2025 onward) to mitigate these barriers and support ongoing embedding. In early Spring 2026, NAIS launched \u201cTeaching with AI,\u201d a clinical faculty innovation initiative piloting an AI\u2010powered teaching tool fully deployed within the university's information technology infrastructure.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>A Challenge\u2010to\u2010Studio pathway may function as a practical prototype mechanism for learning health systems seeking to reduce embedding barriers and convert decentralized frontline innovation into durable, governable, and evaluable practice change.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/lrh2.70126","type":"journal-article","created":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T06:43:04Z","timestamp":1791614584000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["From Challenge to Studio: A Prototype Frontline\n                    <scp>AI<\/scp>\n                    Innovation Mechanism to Address the\n                    <scp>AI<\/scp>\n                    Embedding Deficit in Healthcare and Educational Institutions"],"prefix":"10.1002","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6016-6008","authenticated-orcid":false,"given":"Bo","family":"Xie","sequence":"first","affiliation":[{"name":"School of Nursing, University of Texas at Austin  Austin Texas USA"},{"name":"School of Computing, University of Texas at Austin  Austin Texas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,10,9]]},"reference":[{"key":"e_1_2_13_2_1","doi-asserted-by":"crossref","first-page":"1280","DOI":"10.1111\/medu.15746","article-title":"The Impact of Generative AI on Health Professional Education: A Systematic Review in the Context of Student Learning","volume":"59","author":"Pham T. D.","year":"2025","journal-title":"Medical Education"},{"key":"e_1_2_13_3_1","doi-asserted-by":"crossref","first-page":"3270","DOI":"10.1038\/s41591-025-03983-2","article-title":"Generative Artificial Intelligence in Medicine","volume":"31","author":"Teo Z. L.","year":"2025","journal-title":"Nature Medicine"},{"key":"e_1_2_13_4_1","doi-asserted-by":"publisher","DOI":"10.1177\/20552076261481598"},{"key":"e_1_2_13_5_1","doi-asserted-by":"crossref","first-page":"501","DOI":"10.21037\/atm.2020.03.63","article-title":"Bridging the \u201cLast Mile\u201d Gap Between AI Implementation and Operation: \u201cData Awareness\u201d That Matters","volume":"8","author":"Cabitza F.","year":"2020","journal-title":"Annals of Translational Medicine"},{"key":"e_1_2_13_6_1","doi-asserted-by":"crossref","first-page":"55","DOI":"10.21037\/jmai-24-385","article-title":"Overcoming Adoption Challenges: Bridging the Gap Between Artificial Intelligence Algorithm Development and Implementation in Healthcare","volume":"8","author":"Hill N. R.","year":"2025","journal-title":"Journal of Medical Artificial Intelligence"},{"key":"e_1_2_13_7_1","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1055\/s-0044-1800729","article-title":"Bridging the Gap: Challenges and Strategies for the Implementation of Artificial Intelligence\u2010Based Clinical Decision Support Systems in Clinical Practice","volume":"33","author":"Peek N.","year":"2024","journal-title":"Yearbook of Medical Informatics"},{"key":"e_1_2_13_8_1","doi-asserted-by":"crossref","first-page":"e55897","DOI":"10.2196\/55897","article-title":"Implementation of Machine Learning Applications in Health Care Organizations: Systematic Review of Empirical Studies","volume":"26","author":"Preti L. M.","year":"2024","journal-title":"Journal of Medical Internet Research"},{"key":"e_1_2_13_9_1","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1136\/bmjinnov-2019-000359","article-title":"Bridging the Implementation Gap of Machine Learning in Healthcare","volume":"6","author":"Seneviratne M. G.","year":"2020","journal-title":"BMJ Innovations"},{"key":"e_1_2_13_10_1","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1007\/s10488-010-0319-7","article-title":"Outcomes for Implementation Research: Conceptual Distinctions, Measurement Challenges, and Research Agenda","volume":"38","author":"Proctor E.","year":"2011","journal-title":"Administration and Policy in Mental Health"}],"container-title":["Learning Health Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/lrh2.70126","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1002\/lrh2.70126","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/lrh2.70126","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T06:43:06Z","timestamp":1791614586000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/lrh2.70126"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":9,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2026,10]]}},"alternative-id":["10.1002\/lrh2.70126"],"URL":"https:\/\/doi.org\/10.1002\/lrh2.70126","archive":["Portico"],"relation":{},"ISSN":["2379-6146","2379-6146"],"issn-type":[{"value":"2379-6146","type":"print"},{"value":"2379-6146","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"2026-02-13","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-09-17","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-10-09","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e70126"}}