{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T01:03:28Z","timestamp":1755219808846,"version":"3.43.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"electronic","value":"9781643686080"}],"license":[{"start":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T00:00:00Z","timestamp":1754524800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,8,7]]},"abstract":"<jats:p>Trusted Research Environments (TREs) are increasingly used as platforms for secure health data research, but they can also be used for implementing research findings or for action-research (researchers supporting health professionals to solve problems with advanced data analytics). Most TREs have been designed to support analysis of well-structured and coded data, however, with much clinical data recorded as unstructured notes, especially in mental health care, there needs to be a greater variety of tools and data management services available for safe research that includes natural language processing and anonymisation of data sources. The Mental Health Research for Innovation Centre (M-RIC), co-hosted by the University of Liverpool and Mersey Care NHS Foundation Trust, has implemented a novel TRE design that incorporates modern data engineering concepts to improve how researchers access a wider variety of linked data and machine learning tools, to be able to both undertake research and then deploy these tools directly into mental health care.<\/jats:p>","DOI":"10.3233\/shti250824","type":"book-chapter","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:32:14Z","timestamp":1754566334000},"source":"Crossref","is-referenced-by-count":0,"title":["Building a Learning Health System-Focused Trusted Research Environment for Mental Health"],"prefix":"10.3233","author":[{"given":"Gary","family":"Leeming","sequence":"first","affiliation":[{"name":"Civic Health Innovation Labs, University of Liverpool, Liverpool, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jim","family":"Hughes","sequence":"additional","affiliation":[{"name":"Mersey Care NHS Foundation Trust, Prescott, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dan","family":"Joyce","sequence":"additional","affiliation":[{"name":"Civic Health Innovation Labs, University of Liverpool, Liverpool, UK"},{"name":"Mersey Care NHS Foundation Trust, Prescott, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Iain","family":"Buchan","sequence":"additional","affiliation":[{"name":"Civic Health Innovation Labs, University of Liverpool, Liverpool, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2025 \u2014 Healthcare Smart \u00d7 Medicine Deep"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI250824","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:32:15Z","timestamp":1754566335000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI250824"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,7]]},"ISBN":["9781643686080"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti250824","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"type":"print","value":"0926-9630"},{"type":"electronic","value":"1879-8365"}],"subject":[],"published":{"date-parts":[[2025,8,7]]}}}