{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T15:46:29Z","timestamp":1775490389742,"version":"3.50.1"},"reference-count":47,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,8,13]],"date-time":"2025-08-13T00:00:00Z","timestamp":1755043200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Neuroinform."],"abstract":"<jats:sec><jats:title>Introduction<\/jats:title><jats:p>Mental health care is undermined by fragmented data collection, as incomplete datasets can compromise treatment efficacy and research. The BrainHealth Databank (BHDB) at the Centre for Addiction and Mental Health (CAMH) establishes the governance and infrastructure for a Learning Mental Health System that integrates digital tools, measurement-based care, artificial intelligence (AI), and open science to deliver personalized, data-driven care.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Central to the BHDB\u2019s approach is its comprehensive governance framework, which actively engages clinicians, researchers, data scientists, privacy and ethics experts, and patient and family partners. This codesigned approach ensures that digital health technologies are deployed ethically, securely, and effectively within clinical settings.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>By aligning data collection with clinical and research goals and harmonizing over 12 million data points from 33,000 patient trajectories, the BHDB enhances data quality, enables real-time decision support, and fosters continuous improvement.<\/jats:p><\/jats:sec><jats:sec><jats:title>Discussion<\/jats:title><jats:p>The BHDB provides a model for integrating AI and digital tools into mental health care, as well as research data collection, analyses, storage, and sharing through the BHDB Portal (<jats:ext-link>https:\/\/bhdb.camh.ca<\/jats:ext-link>).<\/jats:p><\/jats:sec>","DOI":"10.3389\/fninf.2025.1616981","type":"journal-article","created":{"date-parts":[[2025,8,13]],"date-time":"2025-08-13T05:33:02Z","timestamp":1755063182000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["The BrainHealth Databank: a systems approach to data-driven mental health care and research"],"prefix":"10.3389","volume":"19","author":[{"given":"Jose Arturo","family":"Santisteban","sequence":"first","affiliation":[]},{"given":"David","family":"Rotenberg","sequence":"additional","affiliation":[]},{"given":"Stefan","family":"Kloiber","sequence":"additional","affiliation":[]},{"given":"Marta M.","family":"Maslej","sequence":"additional","affiliation":[]},{"given":"Adeel","family":"Ansari","sequence":"additional","affiliation":[]},{"given":"Bahar","family":"Amani","sequence":"additional","affiliation":[]},{"given":"Darren","family":"Courtney","sequence":"additional","affiliation":[]},{"given":"Farhat","family":"Farrokhi","sequence":"additional","affiliation":[]},{"given":"Natalie","family":"Freeman","sequence":"additional","affiliation":[]},{"given":"Masooma","family":"Hassan","sequence":"additional","affiliation":[]},{"given":"Lucia","family":"Kwan","sequence":"additional","affiliation":[]},{"given":"Mindaugas","family":"Mozuraitis","sequence":"additional","affiliation":[]},{"given":"Michael","family":"Lau","sequence":"additional","affiliation":[]},{"given":"Natalia","family":"Potapova","sequence":"additional","affiliation":[]},{"given":"Farhad","family":"Qureshi","sequence":"additional","affiliation":[]},{"given":"Nicole","family":"Schoer","sequence":"additional","affiliation":[]},{"given":"Nelson","family":"Shen","sequence":"additional","affiliation":[]},{"given":"Joanna","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Noelle","family":"Coombe","sequence":"additional","affiliation":[]},{"given":"Kimberly","family":"Hunter","sequence":"additional","affiliation":[]},{"given":"Peter","family":"Selby","sequence":"additional","affiliation":[]},{"given":"Nicole","family":"Thomson","sequence":"additional","affiliation":[]},{"given":"Damian","family":"Jankowicz","sequence":"additional","affiliation":[]},{"given":"Sean L.","family":"Hill","sequence":"additional","affiliation":[]}],"member":"1965","published-online":{"date-parts":[[2025,8,13]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"817","DOI":"10.1111\/hex.12378","article-title":"Supporting quality public and patient engagement in health system organizations: development and usability testing of the public and patient engagement evaluation tool","volume":"19","author":"Abelson","year":"2016","journal-title":"Health Expect."},{"key":"ref2","doi-asserted-by":"publisher","first-page":"e0288354","DOI":"10.1371\/journal.pone.0288354","article-title":"Characterization and prediction of individual functional outcome trajectories in schizophrenia spectrum disorders (PREDICTS study): study protocol","volume":"18","author":"Agarwal","year":"2023","journal-title":"PLoS One"},{"key":"ref3","doi-asserted-by":"publisher","first-page":"e10258","DOI":"10.1002\/lrh2.10258","article-title":"A roadmap to operationalize and evaluate impact in a learning health system","volume":"5","author":"Allen","year":"2021","journal-title":"Learn. 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