{"id":26253,"date":"2022-01-31T16:46:32","date_gmt":"2022-01-31T21:46:32","guid":{"rendered":"http:\/\/www.bu.edu\/csmet\/?p=26253"},"modified":"2022-01-31T16:50:48","modified_gmt":"2022-01-31T21:50:48","slug":"developing-a-framework-for-natural-language-processing-of-clinical-documents","status":"publish","type":"post","link":"https:\/\/www.bu.edu\/csmet\/2022\/01\/31\/developing-a-framework-for-natural-language-processing-of-clinical-documents\/","title":{"rendered":"Developing a Framework for Natural Language Processing of Clinical Documents"},"content":{"rendered":"<p><iframe loading=\"lazy\" width=\"400\" height=\"285\" style=\"padding: 25px;\" align=\"left\" src=\"https:\/\/cdnapisec.kaltura.com\/p\/2159741\/embedPlaykitJs\/uiconf_id\/54272102?iframeembed=true&#038;entry_id=1_4tozq4t6\" allowfullscreen=\"allowfullscreen\" webkitallowfullscreen=\"webkitallowfullscreen\" mozallowfullscreen=\"mozallowfullscreen\" allow=\"autoplay *; fullscreen *; encrypted-media *\" sandbox=\"allow-forms allow-same-origin allow-scripts allow-top-navigation allow-pointer-lock allow-popups allow-modals allow-orientation-lock allow-popups-to-escape-sandbox allow-presentation allow-top-navigation-by-user-activation\" frameborder=\"0\" title=\"Kaltura Player\"><\/iframe><\/p>\n<p><strong>Guest Speaker: <\/strong><a href=\"https:\/\/www.bumc.bu.edu\/busm\/profile\/frank-meng\/\">Dr. Frank Meng<\/a>, Assistant Professor of Medicine in General Internal Medicine, Boston University School of Medicine<br \/>\nModerated by <a href=\"https:\/\/www.bu.edu\/csmet\/profile\/guanglan-zhang\/\">Dr. Guanglan Zhang<\/a>, Associate Professor of Computer Science<\/p>\n<p><strong>Abstract:<\/strong> The capturing of increasingly more and more patient data by healthcare systems has enabled much innovative advancements in medical science and patient care through the application of artificial intelligence (AI) and other data-driven technologies. However, much useful information continues to be locked within free text documents, limiting the usefulness of the data to the elements that are already being captured in structured format. In this talk, I will present use cases for implementing natural language processing (NLP) systems that automate the extraction of information from clinical documents with the goal of illustrating the unique challenges of working within the healthcare domain. In addition, I will also provide an overview of the Department of Veterans Affairs (VA) Healthcare System and the VA&#8217;s large-scale patient data repository.<\/p>\n<p><strong>Speaker Bio:<\/strong> Frank Meng, PhD is an Assistant Professor of Medicine in General Internal Medicine at the Boston University School of Medicine and the Associate Director of Clinical Informatics at the VA Boston Healthcare System. Before entering academia, Dr. Meng worked as a software engineer and a project leader at companies like IBM and The Aerospace Corporation. He began working in the medical field in 2013 when he first taught a course called \u201cIntroduction to medical informatics seminar\u201d at UCLA. Since then he has published papers and given lectures, but his technological background is apparent in his writing, which includes big data and informatics as they related to the medical field.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Guest Speaker: Dr. Frank Meng, Assistant Professor of Medicine in General Internal Medicine, Boston University School of Medicine Moderated by Dr. Guanglan Zhang, Associate Professor of Computer Science Abstract: The capturing of increasingly more and more patient data by healthcare systems has enabled much innovative advancements in medical science and patient care through the application [&hellip;]<\/p>\n","protected":false},"author":2828,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[10840],"tags":[],"_links":{"self":[{"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/posts\/26253"}],"collection":[{"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/users\/2828"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/comments?post=26253"}],"version-history":[{"count":4,"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/posts\/26253\/revisions"}],"predecessor-version":[{"id":26257,"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/posts\/26253\/revisions\/26257"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/media?parent=26253"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/categories?post=26253"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/tags?post=26253"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}