{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T21:37:32Z","timestamp":1791236252233,"version":"4.1.0"},"reference-count":44,"publisher":"SAGE Publications","issue":"8","license":[{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Endourology"],"published-print":{"date-parts":[[2024,8]]},"abstract":"<jats:sec>\n                    <jats:title>Introduction:<\/jats:title>\n                    <jats:p>Natural language processing (NLP)-based data extraction from electronic health records (EHRs) holds significant potential to simplify clinical management and aid research. This review aims to evaluate the current landscape of NLP-based data extraction in prostate cancer (PCa) management.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods:<\/jats:title>\n                    <jats:p>We conducted a literature search of PubMed and Google Scholar databases using the keywords: \u201cNatural Language Processing,\u201d \u201cProstate Cancer,\u201d \u201cdata extraction,\u201d and \u201cEHR\u201d with variations of each. No language or time limits were imposed. All results were collected in a standardized manner, including country of origin, sample size, algorithm, objective of outcome, and model performance. The precision, recall, and the F1 score of studies were collected as a metric of model performance.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>Of the 14 studies included in the review, 2 articles focused on documenting digital rectal examinations, 1 on identifying and quantifying pain secondary to PCa, 8 on extracting staging\/grading information from clinical reports, with an emphasis on TNM-classification, risk stratification, and identifying metastasis, 2 articles focused on patient-centered post-treatment outcomes such as incontinence, erectile, and bowel dysfunction, and 1 on loneliness\/social isolation following PCa diagnosis. All models showed moderate to high data annotation\/extraction accuracy compared with the gold standard method of manual data extraction by chart review. Despite their potential, NLPs face challenges in handling ambiguous, institution-specific language and context nuances, leading to occasional inaccuracies in clinical data interpretation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>NLP-based data extraction has effectively extracted various outcomes from PCa patients' EHRs. It holds the potential for automating outcome monitoring and data collection, resulting in time and labor savings.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1089\/end.2023.0690","type":"journal-article","created":{"date-parts":[[2024,4,13]],"date-time":"2024-04-13T13:18:19Z","timestamp":1713014299000},"page":"852-864","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":18,"title":["Application of Natural Language Processing in Electronic Health Record Data Extraction for Navigating Prostate Cancer Care: A Narrative Review"],"prefix":"10.1177","volume":"38","author":[{"given":"Ansh","family":"Bhatia","sequence":"first","affiliation":[{"name":"Desai Sethi Urology Institute, Miller School of Medicine, University of Miami, Miami, Florida, USA."},{"name":"Seth GS Medical College and King Edward Memorial Hospital, Mumbai, India."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Renil","family":"Titus","sequence":"additional","affiliation":[{"name":"Seth GS Medical College and King Edward Memorial Hospital, Mumbai, India."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6495-1054","authenticated-orcid":false,"given":"Joao G.","family":"Porto","sequence":"additional","affiliation":[{"name":"Desai Sethi Urology Institute, Miller School of Medicine, University of Miami, Miami, Florida, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jonathan","family":"Katz","sequence":"additional","affiliation":[{"name":"Department of Urology, University of California, San Diego, San Diego, California, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Diana M.","family":"Lopategui","sequence":"additional","affiliation":[{"name":"Desai Sethi Urology Institute, Miller School of Medicine, University of Miami, Miami, Florida, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert","family":"Marcovich","sequence":"additional","affiliation":[{"name":"Desai Sethi Urology Institute, Miller School of Medicine, University of Miami, Miami, Florida, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dipen J.","family":"Parekh","sequence":"additional","affiliation":[{"name":"Desai Sethi Urology Institute, Miller School of Medicine, University of Miami, Miami, Florida, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4273-5502","authenticated-orcid":false,"given":"Hemendra N.","family":"Shah","sequence":"additional","affiliation":[{"name":"Desai Sethi Urology Institute, Miller School of Medicine, University of Miami, Miami, Florida, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2024,8,1]]},"reference":[{"key":"e_1_3_4_2_2","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21492"},{"issue":"4","key":"e_1_3_4_3_2","first-page":"207","article-title":"Quality of life in prostate cancer patients","volume":"47","author":"Herr HW","year":"1997","unstructured":"Herr HW. 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