{"id":1753,"date":"2021-01-27T20:54:12","date_gmt":"2021-01-27T20:54:12","guid":{"rendered":"https:\/\/www.thermofisher.com\/blog\/connectedlab\/?p=1753"},"modified":"2021-01-28T22:55:10","modified_gmt":"2021-01-28T22:55:10","slug":"driving-digital-transformation-through-laboratory-automation","status":"publish","type":"post","link":"https:\/\/www.thermofisher.com\/blog\/connectedlab\/driving-digital-transformation-through-laboratory-automation\/","title":{"rendered":"Driving Digital Transformation Through Laboratory Automation"},"content":{"rendered":"<p>Scientific and technological advancements continue to drive scientific organizations towards a complete digital transformation.\u00a0 These developments emphasize the importance of automation, both in the physical and digital world.\u00a0 The automation of processes, workflows, and data enables laboratories to reduce downtime, increase scalability, and optimize efficiency. Automation provides the time and space for biotech R&amp;D laboratories to focus on innovations and improvements, which is crucial to a laboratory\u2019s success. Scientific automation &#8211; whether software or instrument, a single-step or an entire workflow &#8211; is critical to accelerating laboratory productivity and unlocking innovation.\u00a0 Let\u2019s take a closer look at how laboratory automation through laboratory integration and software advancements, is propelling scientific laboratories in their journey of digital transformation.<img loading=\"lazy\" decoding=\"async\" style=\"float: right\" src=\"https:\/\/www.thermofisher.com\/blog\/connectedlab\/wp-content\/uploads\/sites\/14\/2021\/01\/automation20digital20transformation-1.png\" width=\"480\" height=\"249\" \/><\/p>\n<h2>Understanding Biotech R&amp;D Challenges<\/h2>\n<p>As we dive into the possibilities of automation, it helps to identify the most common issues that users face in the biotech R&amp;D world and how automation addresses these:<\/p>\n<ul>\n<li>Maximizing throughput<\/li>\n<li>Enhancing reproducible results<\/li>\n<li>Reducing errors \u2013 this goes hand-in-hand with reproducible results. Manual processes are notoriously error-prone, especially when operating in a multi-user environment. Each user may be incredibly accurate and precise. However, when you introduce two or more individuals performing the same actions, there is bound to be variation.<\/li>\n<li>Flexibility to scale<\/li>\n<li>Decreasing FTE hands-on time \u2013 this is quickly being recognized as the most valuable aspect of the automation process. We\u2019ve found that there can be benefits to automating only specific parts of an entire workflow.<\/li>\n<\/ul>\n<h2>Benefits of Automation<\/h2>\n<p>Now that we have a good understanding of the challenges biotech R&amp;D labs are facing, we can start thinking about the benefits of automating those labs. The graphic below showcases the results of a recent Select Science survey of users like yourselves \u2013 users who are looking for a way to transform and automate their labs. You can see the alignment with the pain points and challenges listed earlier.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.thermofisher.com\/blog\/connectedlab\/wp-content\/uploads\/sites\/14\/2021\/01\/automation20benefits-1.png\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>Not surprisingly, \u201cReducing employee time on manual tasks\u201d took top honors. There is a common misconception that there must be a certain throughput need to justify automation. What is being realized is that even in a low-throughput environment (perhaps only a few plates per day), there is still value in allowing scientists to focus on other more meaningful tasks \u2013 like analyzing the data from the previous run.<\/p>\n<p>The throughput component is still there \u2013 as scientists seek faster cycle times so that the data is available more quickly to be analyzed. But important to note, faster cycle times are more easily achieved when scientists aren\u2019t burdened with loading plates into a series of devices.<\/p>\n<p>When considering throughput, the question people ask themselves is \u201cdoes doing it fast also cause errors and issues?\u201d When you take a holistic transformation journey and automate in the right way, the answer is \u201cno.\u201d<\/p>\n<p>There was a time not long ago when automation \u2013 especially automated pipetting and software control \u2013 was viewed with skepticism with respect to accuracy and precision. Scientists didn\u2019t believe that a device could reproduce the techniques they had developed for interacting with their samples. It\u2019s now generally recognized that the automated liquid handlers and the techniques that can be developed for manipulating all kinds of samples \u2013 from organic solvents to genomic DNA to highly sensitive primary cell lines \u2013 are highly reliable and accurate. When done properly, automation and transformation enable users to focus on the tasks at hand, while affording even better data quality.<\/p>\n<h2>A bottom-up approach<\/h2>\n<p>When it comes to digital transformation, one of the biggest challenges we find is that most companies will focus on <a href=\"https:\/\/www.thermofisher.com\/blog\/connectedlab\/data-analytics-solutions-for-better-science\/\" target=\"_blank\" rel=\"noopener\">analytics<\/a>\u00a0without that initial focus on the infrastructure needed to get the data to the analytics solution. Taking a bottom-up approach helps build a more sustainable and scalable solution.<\/p>\n<p>A customer recently shared their idea of transforming their lab.\u00a0 It was very heavy in using <a href=\"https:\/\/www.thermofisher.com\/blog\/connectedlab\/the-power-of-ai-in-drug-discovery-and-development\/\" target=\"_blank\" rel=\"noopener\">AI<\/a> and <a href=\"https:\/\/www.thermofisher.com\/blog\/connectedlab\/machine-learning-a-primer-to-laboratory-applications\/\" target=\"_blank\" rel=\"noopener\">machine learning<\/a>, but lacked focus on infrastructure. How do these systems connect? How do you get this data into one place? How do you orchestrate these labs or address the data silos? Using a bottom-up approach, we built out a landscape document of their entire ecosystem and it\u2019s connected. This gave us visibility to the data all the labs are collecting, so we could understand what we had and what was missing. From there, we could build the orchestration layer that was critical to their transformation.<\/p>\n<p>This example highlights the type of partnership necessary to <a href=\"https:\/\/bit.ly\/2NC39IJ\" target=\"_blank\" rel=\"noopener\">transform a laboratory<\/a>, connecting the physical world to the digital world. The right <a href=\"https:\/\/bit.ly\/3sZLOtv\" target=\"_blank\" rel=\"noopener\">partner <\/a>can help set objectives and success factors at a strategic level, before embarking on a technical discussion. And when the technical discussions begin, the right partner can help map the entire lab landscape, leveraging the investments already made in the existing ecosystem.<\/p>\n<p>For <a href=\"https:\/\/www.thermofisher.com\/us\/en\/home\/global\/forms\/industrial\/lab-automation-science-solutions.html\" target=\"_blank\" rel=\"noopener\">help with your automation journey<\/a> and to learn more about how automation fits into your digital transformation plans, visit our <a href=\"https:\/\/www.thermofisher.com\/us\/en\/home\/digital-solutions.html\" target=\"_blank\" rel=\"noopener\">website<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Scientific and technological advancements continue to drive scientific organizations towards a complete digital transformation.\u00a0 These developments emphasize the importance of automation, both in the physical and digital world.\u00a0 The automation of processes, workflows, and data enables laboratories to reduce downtime, increase scalability, and optimize efficiency. Automation provides the time and space for biotech R&amp;D laboratories<\/p>\n","protected":false},"author":1387,"featured_media":1756,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_monsterinsights_skip_tracking":false,"_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":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[106,202,89],"tags":[1034,112,95,382,1033],"division":[],"class_list":{"0":"post-1753","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-biopharma","8":"category-drug-discovery","9":"category-technology","10":"tag-automation","11":"tag-digital-transformation","12":"tag-lab-data-management","13":"tag-lab-information-management","14":"tag-laboratory-automation","15":"entry"},"_selected_authors":"","_selected_reviewers":"","acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.8 (Yoast SEO v27.8) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Driving Digital Transformation Through Laboratory Automation<\/title>\n<meta name=\"description\" content=\"The automation of laboratory processes, workflows, and data enables labs to run more efficiently. 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