{"id":23642,"date":"2019-06-28T05:59:43","date_gmt":"2019-06-28T05:59:43","guid":{"rendered":"https:\/\/arisglobal.com\/bkp-site\/?p=23642"},"modified":"2019-06-28T05:59:43","modified_gmt":"2019-06-28T05:59:43","slug":"increasing-case-volumes-remain-a-top-challenge-for-pharmacovigilance-executives","status":"publish","type":"post","link":"https:\/\/www.arisglobal.com\/blogs\/increasing-case-volumes-remain-a-top-challenge-for-pharmacovigilance-executives\/","title":{"rendered":"Increasing Case Volumes Remain a Top Challenge for Pharmacovigilance Executives"},"content":{"rendered":"<p><em>On June 5th, 2019, ArisGlobal held a webinar focused on the \u201c<\/em><a href=\"https:\/\/www2.arisglobal.com\/key-use-cases-of-automation-in-pharmacovigilance?Campaign_Code=19WCTS64&amp;Web_source_=Key%20Use%20Cases%20of%20Automation%20in%20Pharmacovigilance&amp;source=Web%20Enquiry\" target=\"_blank\" rel=\"noopener noreferrer\"><strong>Key Use Cases of Automation in Pharmacovigilance<\/strong><\/a><em>.\u201d<\/em><em> During that event, 84% of attendees indicated a significant increase in their case volumes over the last five years. Only 15% considered their case volume increases to be \u2018slight.\u2019 <\/em><\/p>\n<p>The data point above reminds us that increasing ICSR case volumes remain a major challenge within the life sciences industry. A challenge, in fact, that we\u2019ve been working closely with top life sciences customers like the FDA and Johnson &amp; Johnson to solve. Nearly a year-and-a-half ago, we wrote a blog offering advice as to how to address this challenge: \u201c<a href=\"https:\/\/arisglobal.com\/blogs\/push-pull-artificial-intelligence-pharmacovigilance\/\" target=\"_blank\" rel=\"noopener noreferrer\">The Push-Pull of Artificial Intelligence in Pharmacovigilance<\/a>.\u201d<\/p>\n<h3>How have your case volumes changed over the period of last 5 years?<\/h3>\n<p>OUR CASE VOLUMES HAVE DECREASED OVER THE LAST 5 YEARSOUR CASE VOLUMES HAVE REMAINED ROUGHLY THE SAME OVER THE LAST 5 YEARSOUR CASE VOLUMES HAVE INCREASED SLIGHTLY OVER THE LAST 5 YEARSOUR CASE VOLUMES HAVE INCREASED SIGNIFICANTLY OVER THE LAST 5 YEARS<\/p>\n<p>Fast forward to today, and it\u2019s clear from the results of the webinar polling question that this issue is more prevalent than ever. Increasingly stringent regulatory requirements only add to the complexity of the challenge. As volumes grow, budgets for safety case processing are generally not trending upwards at the same pace. Many PV budgets are flat or drug safety teams are being asked to do more with less. The mandate from executive management is clear: find ways to improve productivity.<\/p>\n<p>Given this reality, a PV department\u2019s reasonable action plan can\u2019t be to repeat the same processes and use the same tools but hope for better productivity and quality. Advanced next-gen technologies \u2013 cognitive automation that utilizes artificial intelligence (AI) and machine learning (ML) and cloud computing that helps to drive down costs and improve scalability \u2013 are proving key to increasing throughput and preparing for the future.<\/p>\n<p>In our next <a href=\"https:\/\/arisglobal.com\/blogs\/\">blog<\/a>, to be published next week, we will discuss the status of strategic planning around automation that\u2019s underway within life sciences organizations. We will also introduce use cases for automation in PV. If you can\u2019t wait until then, view the on-demand webinar and download our white paper \u201c<a href=\"https:\/\/www2.arisglobal.com\/cognitive-computing-pharmacovigilance-revamping-drug-safety-using-advanced-computing-system?Campaign_Code=18WITS18&amp;Web_source_=Cognitive%20Computing%20in%20Pharmacovigilance:%20Revamping%20Drug%20Safety%20Using%20an%20Advanced%20Computing%20System&amp;source=Web%20Enquiry\" target=\"_blank\" rel=\"noopener noreferrer\"><em>Cognitive Computing in Pharmacovigilance: Revamping Drug Safety Using an Advanced Computing System<\/em><\/a>.\u201d<\/p>\n<p>(This is Blog One in a Series of Three Blogs from the Key Use Cases of Automation in Pharmacovigilance Webinar.)<\/p>\n<p><strong><u>Editor\u2019s Note<\/u>:<\/strong> ArisGlobal would like to invite you to register to attend a complimentary lunch-and-learn workshop on July 18<sup style=\"font-size:0.8vw;\">th<\/sup> in Cambridge, MA. \u201c<strong>Building an Automation-Centric Approach to Drug Safety<\/strong>.\u201d During the two-hour workshop, Edwin Raj, Senior Director and Head of Safety Operations, AMAG Pharmaceuticals will share how they have replaced their legacy Argus system and are moving away from repetitive manual tasks by automating patient data collection from any source, which reduces errors and increases cost savings. Space is limited, so register soon if you are available to attend.<\/p>\n<h2>Need More Information?<\/h2>\n","protected":false},"excerpt":{"rendered":"<p>On June 5th, 2019, ArisGlobal held a webinar focused on the \u201cKey Use Cases of Automation in Pharmacovigilance.\u201d During that event, 84% of attendees indicated a significant increase in their case volumes over the last five years. Only 15% considered their case volume increases to be \u2018slight.\u2019 <\/p>\n","protected":false},"author":27,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[67],"tags":[],"class_list":["post-23642","post","type-post","status-publish","format-standard","hentry","category-blogs"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v23.4 (Yoast SEO v23.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Increasing Case Volumes Remain a Top Challenge for Pharmacovigilance Executives | ArisGlobal<\/title>\n<meta name=\"description\" content=\"Our recent webinar focussed on the \u201cKey Use Cases of Automation in Pharmacovigilance\u201d, learned that increasing case volumes still remains a major challenge in PV and how cognitive automation helps to drive down costs and improve scalability.\" \/>\n<meta name=\"robots\" content=\"index, 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