{"id":1313,"date":"2020-11-09T14:01:12","date_gmt":"2020-11-09T19:01:12","guid":{"rendered":"http:\/\/community.mis.temple.edu\/seminars\/?p=1313"},"modified":"2020-11-09T14:01:12","modified_gmt":"2020-11-09T19:01:12","slug":"oct-30-gordon-gao-to-present-how-artificial-intelligence-affects-human-performance-in-medical-chart-coding","status":"publish","type":"post","link":"https:\/\/community.mis.temple.edu\/seminars\/oct-30-gordon-gao-to-present-how-artificial-intelligence-affects-human-performance-in-medical-chart-coding\/","title":{"rendered":"Oct 30 &#8211; Gordon Gao to present &#8220;How Artificial Intelligence Affects Human Performance in Medical Chart Coding&#8221;"},"content":{"rendered":"<h2 style=\"text-align: center\">How Artificial Intelligence Affects Human Performance in Medical Chart Coding<\/h2>\n<p style=\"text-align: center\">by<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-medium aligncenter\" src=\"https:\/\/www.rhsmith.umd.edu\/files\/styles\/square_thumbnail\/public\/Images\/faculty\/gao_0.png?itok=f2yAmupp\" width=\"180\" height=\"180\" \/><\/p>\n<h2 style=\"text-align: center\"><a href=\"https:\/\/scholar.rhsmith.umd.edu\/ggao\/home\">Guodong (Gordon) Gao<\/a><\/h2>\n<p style=\"margin: 0in;text-align: center\" align=\"center\">Professor<br \/>\nDirector, Inovalon Artificial Intelligence Lab for Advanced Insights<br \/>\nCo-Director, Center for Health Information and Decision Systems<br \/>\nRobert H. Smith School of Business<br \/>\nUniversity of Maryland<\/p>\n<h2 style=\"text-align: center\"><strong>Friday, Oct 30<br \/>\n<\/strong><\/h2>\n<h2 style=\"text-align: center\"><strong>9:00 \u2013 10:00 am | Zoom<\/strong><\/h2>\n<p style=\"text-align: center\"><strong>Abstact:<\/strong><\/p>\n<p style=\"text-align: center\">While the impact of artificial intelligence (AI) on jobs has generated considerable discussion and debate, little is known about how AI affects knowledge worker productivity. We developed an AI solution for medical chart coding in a publicly traded company and then evaluated its impact on productivity regarding coders\u2019 job experience. We find evidence that AI improves worker productivity overall. However, different from existing studies on skill biased technological change, we find that seniority goes the opposite way: the productivity of senior workers has a much less productivity boost from the use of AI than that of junior workers. To uncover the mechanism behind this surprising finding, we look at the task specific experience. Our results confirm the existence of complementarity between human experience and AI. Further analysis reveals that the performance discrepancy of job experience is attributable to senior user resistance. This paper provides new empirical insights into how AI affects knowledge worker productivity, with important implications for wider adoption and use of AI among knowledge workers.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>How Artificial Intelligence Affects Human Performance in Medical Chart Coding by Guodong (Gordon) Gao Professor Director, Inovalon Artificial Intelligence Lab for Advanced Insights Co-Director, Center for Health Information and Decision Systems Robert H. Smith School of Business University of Maryland Friday, Oct 30 9:00 \u2013 10:00 am | Zoom Abstact: While the impact of artificial [&hellip;]<\/p>\n","protected":false},"author":17227,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":""},"categories":[1],"tags":[744747,669888,838373,838371,68644,838372],"class_list":{"0":"post-1313","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-uncategorized","7":"tag-ai","8":"tag-artificial-intelligence","9":"tag-human-experience-and-ai","10":"tag-medical-chart-coding","11":"tag-productivity","12":"tag-worker-productivity","13":"entry"},"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/community.mis.temple.edu\/seminars\/wp-json\/wp\/v2\/posts\/1313","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/community.mis.temple.edu\/seminars\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/community.mis.temple.edu\/seminars\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/community.mis.temple.edu\/seminars\/wp-json\/wp\/v2\/users\/17227"}],"replies":[{"embeddable":true,"href":"https:\/\/community.mis.temple.edu\/seminars\/wp-json\/wp\/v2\/comments?post=1313"}],"version-history":[{"count":1,"href":"https:\/\/community.mis.temple.edu\/seminars\/wp-json\/wp\/v2\/posts\/1313\/revisions"}],"predecessor-version":[{"id":1314,"href":"https:\/\/community.mis.temple.edu\/seminars\/wp-json\/wp\/v2\/posts\/1313\/revisions\/1314"}],"wp:attachment":[{"href":"https:\/\/community.mis.temple.edu\/seminars\/wp-json\/wp\/v2\/media?parent=1313"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/community.mis.temple.edu\/seminars\/wp-json\/wp\/v2\/categories?post=1313"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/community.mis.temple.edu\/seminars\/wp-json\/wp\/v2\/tags?post=1313"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}