{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T03:54:20Z","timestamp":1791258860685,"version":"4.1.0"},"reference-count":22,"publisher":"Elsevier BV","issue":"10","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T00:00:00Z","timestamp":1781481600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","valueinhealthjournal.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Value in Health"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.jval.2026.05.009","type":"journal-article","created":{"date-parts":[[2026,6,14]],"date-time":"2026-06-14T17:34:42Z","timestamp":1781458482000},"page":"1842-1850","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"title":["Development and Validation of an Artificial Intelligence Tool for Automated Population, Intervention, Comparator, Outcome Scoping for the European Joint Clinical Assessment: A Proof of Concept"],"prefix":"10.1016","volume":"29","author":[{"given":"Bart-Jan","family":"Boverhof","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nikos","family":"Takatzoglou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ken","family":"Redekop","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carin Uyl-de","family":"Groot","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jacob Jan","family":"Visser","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maureen Rutten-van","family":"M\u00f6lken","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jval.2026.05.009_bib2","series-title":"Joint Clinical Assessment for Medicinal Products","year":"2024"},{"issue":"2","key":"10.1016\/j.jval.2026.05.009_bib4","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/j.jval.2024.10.3846","article-title":"Generative artificial intelligence for health technology assessment: opportunities, challenges, and policy considerations: an ISPOR working group report","volume":"28","author":"Fleurence","year":"2025","journal-title":"Value Health"},{"issue":"11","key":"10.1016\/j.jval.2026.05.009_bib5","doi-asserted-by":"crossref","first-page":"1611","DOI":"10.1016\/j.jval.2025.06.018","article-title":"ELEVATE-GenAI: reporting guidelines for the use of large language models in health economics and outcomes research: an ISPOR working group report","volume":"28","author":"Fleurence","year":"2025","journal-title":"Value Health"},{"key":"10.1016\/j.jval.2026.05.009_bib6","first-page":"9459","article-title":"Retrieval-augmented generation for knowledge-intensive NLP tasks","volume":"33","author":"Lewis","year":"2020","journal-title":"Adv Neural Inf Process Syst"},{"key":"10.1016\/j.jval.2026.05.009_bib8","author":"Chase"},{"key":"10.1016\/j.jval.2026.05.009_bib9","author":"Singer-Vine"},{"key":"10.1016\/j.jval.2026.05.009_bib10","unstructured":"NLLB Team, Costa-juss\u00e0 MR, Cross J, et al. No language left behind: scaling human-centered machine translation. arXiv. Accessed August 25, 2022. arXiv:2207.04672."},{"issue":"4","key":"10.1016\/j.jval.2026.05.009_bib16","doi-asserted-by":"crossref","first-page":"1234","DOI":"10.1093\/bioinformatics\/btz682","article-title":"BioBERT: a pre-trained biomedical language representation model for biomedical text mining","volume":"36","author":"Lee","year":"2020","journal-title":"Bioinformatics"},{"key":"10.1016\/j.jval.2026.05.009_bib19","first-page":"1877","article-title":"Language models are few-shot learners","volume":"33","author":"Brown","year":"2020","journal-title":"Adv Neural Inf Process Syst"},{"key":"10.1016\/j.jval.2026.05.009_bib20","doi-asserted-by":"crossref","DOI":"10.1016\/j.jbi.2023.104458","article-title":"Few-shot learning for medical text: a review of advances, trends, and opportunities","volume":"144","author":"Ge","year":"2023","journal-title":"J Biomed Inform"},{"key":"10.1016\/j.jval.2026.05.009_bib22","author":"Hopstaken"},{"key":"10.1016\/j.jval.2026.05.009_bib23","series-title":"Agencja Oceny Technologii Medycznych i Taryfikacji. Rekomendacja nr 41\/2023","year":"2023"},{"issue":"2","key":"10.1016\/j.jval.2026.05.009_bib24","doi-asserted-by":"crossref","first-page":"420","DOI":"10.1037\/0033-2909.86.2.420","article-title":"Intraclass correlations: uses in assessing rater reliability","volume":"86","author":"Shrout","year":"1979","journal-title":"Psychol Bull"},{"issue":"2","key":"10.1016\/j.jval.2026.05.009_bib25","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.jcm.2016.02.012","article-title":"A guideline of selecting and reporting intraclass correlation coefficients for reliability research","volume":"15","author":"Koo","year":"2016","journal-title":"J Chiropr Med"},{"issue":"1","key":"10.1016\/j.jval.2026.05.009_bib26","doi-asserted-by":"crossref","first-page":"1","DOI":"10.2165\/00007256-200030010-00001","article-title":"Measures of reliability in sports medicine and science","volume":"30","author":"Hopkins","year":"2000","journal-title":"Sports Med"},{"issue":"0","key":"10.1016\/j.jval.2026.05.009_bib27","doi-asserted-by":"crossref","first-page":"1646","DOI":"10.1016\/j.jval.2025.08.001","article-title":"The \u201cartificial intelligence statistician\u201d: utilizing generative artificial intelligence to select an appropriate model and execute network meta-analyses","volume":"0","author":"Reason","year":"2025","journal-title":"Value Health"},{"issue":"0","key":"10.1016\/j.jval.2026.05.009_bib28","doi-asserted-by":"crossref","first-page":"1637","DOI":"10.1016\/j.jval.2025.05.008","article-title":"Use of large language models to extract cost-effectiveness analysis data: a case study","volume":"0","author":"Gu","year":"2025","journal-title":"Value Health"},{"issue":"11","key":"10.1016\/j.jval.2026.05.009_bib29","doi-asserted-by":"crossref","first-page":"1655","DOI":"10.1016\/j.jval.2025.08.002","article-title":"A4SLR: an agentic AI-assisted systematic literature review framework to augment evidence synthesis for HEOR and HTA","volume":"25","author":"Lee","year":"2025","journal-title":"Value Health"},{"issue":"11","key":"10.1016\/j.jval.2026.05.009_bib30","doi-asserted-by":"crossref","first-page":"1683","DOI":"10.1016\/j.jval.2025.05.020","article-title":"Generative artificial intelligence to automate the adaptation of excel health economic models and word technical reports","volume":"28","author":"Rawlinson","year":"2025","journal-title":"Value Health"},{"issue":"5","key":"10.1016\/j.jval.2026.05.009_bib31","first-page":"365","article-title":"Automated mass extraction of over 680,000 PICOs from clinical study abstracts using generative AI: a proof-of-concept study","volume":"38","author":"Reason","year":"2024","journal-title":"Pharmaceut Med"},{"issue":"8","key":"10.1016\/j.jval.2026.05.009_bib32","doi-asserted-by":"crossref","first-page":"5489","DOI":"10.3390\/curroncol29080434","article-title":"Drug treatment for advanced hepatocellular carcinoma: first-line and beyond","volume":"29","author":"Feng","year":"2022","journal-title":"Curr Oncol"},{"issue":"0","key":"10.1016\/j.jval.2026.05.009_bib33","first-page":"1","article-title":"Systematic review of the effects of decision fatigue in healthcare professionals on medical decision-making","volume":"0","author":"Maier","year":"2025","journal-title":"Health Psychol Rev"}],"container-title":["Value in Health"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S109830152602485X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S109830152602485X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T03:45:33Z","timestamp":1791258333000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S109830152602485X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":22,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2026,10]]}},"alternative-id":["S109830152602485X"],"URL":"https:\/\/doi.org\/10.1016\/j.jval.2026.05.009","relation":{},"ISSN":["1098-3015"],"issn-type":[{"value":"1098-3015","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Development and Validation of an Artificial Intelligence Tool for Automated Population, Intervention, Comparator, Outcome Scoping for the European Joint Clinical Assessment: A Proof of Concept","name":"articletitle","label":"Article Title"},{"value":"Value in Health","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jval.2026.05.009","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 International Society for Pharmacoeconomics and Outcomes Research, Inc. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}]}}