{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T05:17:06Z","timestamp":1783574226742,"version":"3.55.0"},"reference-count":44,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T00:00:00Z","timestamp":1774915200000},"content-version":"vor","delay-in-days":1,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Cancer Institute of the National Institutes of Health","award":["R01CA277782"],"award-info":[{"award-number":["R01CA277782"]}]},{"name":"Conquer Cancer Foundation, and the UCSF Computational Cancer Research"},{"name":"American Society for Radiation Oncology and the Prostate Cancer Foundation"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,7,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Social work notes provide a multifaceted narrative of a patient\u2019s cancer journey. Topic modeling is a computational technique that can be used to organize notes into thematic clusters and study topics in oncological social work at scale. In this study, we used the BERTopic framework to perform topic modeling of cancer social work notes and identify roles and themes frequently documented in oncological social work.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We collected 106\u200a676 social work notes from 25\u200a341 patients diagnosed with cancer at the University of California San Francisco. Notes were split at the sentence level, and BERTopic model parameters were optimized experimentally. For each BERTopic cluster, 2 annotators independently assigned labels to 250 randomly selected sentences and keyword sets, with disagreements adjudicated by a third reviewer. Given the same sentences and keywords, 3 large language models independently labelled each cluster. Finally, human-generated and large language model\u2013generated labels were harmonized.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Topic modeling of social work notes revealed 15 topics, classified into 3 distinct subthemes: (1) social worker assessments of patient psychosocial needs and service provision; (2) patient-centric factors, experiences, and the impact of cancer diagnosis on lifestyle; and (3) family and caregiver experiences when caring for someone with cancer.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Topic modeling supplemented by large language model interpretation reveals complex psychosocial themes in patients receiving social work services during cancer care experience. We envision these methods supporting research that clusters oncological social work notes into thematic cohorts for qualitative studies on how social work care differs across patient strata and how topics are differentially distributed across cancer subtypes.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/jncics\/pkag033","type":"journal-article","created":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T12:43:29Z","timestamp":1774615409000},"source":"Crossref","is-referenced-by-count":0,"title":["Computational identification of salient cancer care topics and themes in oncology social work notes"],"prefix":"10.1093","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0348-7849","authenticated-orcid":false,"given":"Ryzen","family":"Benson","sequence":"first","affiliation":[{"name":"Department of Radiation Oncology, University of California San Francisco , San Francisco, CA,","place":["United States"]},{"name":"Bakar Computational Health Sciences Institute, University of California San Francisco , San Francisco, CA,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-0517-7336","authenticated-orcid":false,"given":"Swetha","family":"Rajkumar","sequence":"additional","affiliation":[{"name":"Bakar Computational Health Sciences Institute, University of California San Francisco , San Francisco, CA,","place":["United States"]},{"name":"University of California , Berkeley, CA,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-8861-3014","authenticated-orcid":false,"given":"Clodagh","family":"Kenny","sequence":"additional","affiliation":[{"name":"Bakar Computational Health Sciences Institute, University of California San Francisco , San Francisco, CA,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michelle","family":"Zhao","sequence":"additional","affiliation":[{"name":"Bakar Computational Health Sciences Institute, University of California San Francisco , San Francisco, CA,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ji-Hyun","family":"Chang","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, University of California San Francisco , San Francisco, CA,","place":["United States"]},{"name":"Seoul National University Hospital , Seoul,","place":["South Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Theodore","family":"Scheel","sequence":"additional","affiliation":[{"name":"UCSF Helen Diller Comprehensive Center, University of California San Francisco , San Francisco, CA,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7286-9253","authenticated-orcid":false,"given":"Lauren","family":"Boreta","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, University of California San Francisco , San Francisco, CA,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5172-6889","authenticated-orcid":false,"given":"Julian C","family":"Hong","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, University of California San Francisco , San Francisco, CA,","place":["United States"]},{"name":"Bakar Computational Health Sciences Institute, University of California San Francisco , San Francisco, CA,","place":["United States"]},{"name":"UCSF Helen Diller Comprehensive Center, University of California San Francisco , San Francisco, CA,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2026,3,30]]},"reference":[{"key":"2026070900413854200_pkag033-B1","doi-asserted-by":"publisher","first-page":"2861","DOI":"10.1007\/s00520-016-3099-0","article-title":"What happens after distress screening? 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