{"id":1730442,"date":"2024-10-11T14:47:06","date_gmt":"2024-10-11T21:47:06","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=1730442"},"modified":"2025-09-09T14:58:43","modified_gmt":"2025-09-09T21:58:43","slug":"arcgis-allsource-revealing-opioid-diversion","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/allsource\/defense\/arcgis-allsource-revealing-opioid-diversion","title":{"rendered":"ArcGIS AllSource: Revealing Opioid Diversion"},"author":312742,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[24641],"tags":[],"industry":[],"product":[764612],"class_list":["post-1730442","blog","type-blog","status-publish","format-standard","hentry","category-defense","product-allsource"],"acf":{"authors":[{"ID":312742,"user_firstname":"Julia","user_lastname":"Smyth","nickname":"Julia Smyth","user_nicename":"julia-smyth","display_name":"Julia Smyth","user_email":"jsmyth@esri.com","user_url":"","user_registered":"2022-06-13 18:30:41","user_description":"Julia is a Product Marketing Manager on the Operational Intelligence team at Esri, primarily working with ArcGIS Mission and ArcGIS AllSource.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Unknown-5-213x200.jpeg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"},{"ID":317692,"user_firstname":"Patrick","user_lastname":"O'Brien","nickname":"POBrien","user_nicename":"pobrien","display_name":"Patrick O'Brien","user_email":"POBrien@esri.com","user_url":"","user_registered":"2022-09-01 20:27:13","user_description":"Patrick O'Brien is a Sr. Solution Engineer on Esri's Public Safety Team. Patrick primarily works in the United States Federal Law Enforcement and National Security arena, and supports Fraud, Waste and Abuse, special events and natural disaster response. He is a technical expert in the ArcGIS Platform and has extensive knowledge in incorporation of GIS to support these Public Safety workflows and more. Patrick obtained a B.S. Degree in Geography from Salisbury University and a Master\u2019s degree from the University of Maryland, College Park in Geospatial Information Science.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/Profile_Small-213x200.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"}],"short_description":"ArcGIS AllSource is utilized to track Opioid diversion among doctors, patients and treatment centers. Auditors use maps, timelines and charts. ","flexible_content":[{"acf_fc_layout":"sidebar","content":"<p><b><span data-contrast=\"auto\">Customer: <\/span><\/b><span data-contrast=\"auto\">Healthcare evaluators and auditors attempting to detect fraud.<\/span><\/p>\n<p><b><span data-contrast=\"auto\">Challenge: <\/span><\/b>Auditors need to identify fraudulent healthcare workers or persons exploiting the healthcare system through opioid diversion.<\/p>\n<p><b><span data-contrast=\"auto\">Solution:<\/span><\/b> ArcGIS AllSource is a powerful application that enables auditors to understand the irregularities in the spatial connection between physicians, pharmacies, and beneficiaries. Auditors can analyze and visualize the data through multiple views, including maps, timelines and charts- including link charts. These tools connect healthcare providers, pharmacies, and patients, enabling auditors to quickly identify outliers indicating possible fraudulent activities.<\/p>\n<p><strong>Benefits:<\/strong><\/p>\n<ul>\n<li data-leveltext=\"%1.\" data-font=\"Times New Roman\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559684&quot;:-1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">In one interface, auditors can connect to disparate and large data sources. <\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"%1.\" data-font=\"Times New Roman\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559684&quot;:-1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Auditors can identify potential bad actors more efficiently.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"%1.\" data-font=\"Times New Roman\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559684&quot;:-1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Automation of their workflow enabled users to rapidly identify fraudulent behavior. <\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"%1.\" data-font=\"Times New Roman\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559684&quot;:-1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"auto\">The workflow is captured so it can be shared with other cities, states and agencies.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"%1.\" data-font=\"Times New Roman\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559684&quot;:-1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"5\" data-aria-level=\"1\"><span data-contrast=\"auto\">Auditors can disseminate their findings to explain the analysis, display the result, and support investigations.<\/span><\/li>\n<\/ul>\n","image_reference":false,"layout":"standard","image_reference_figure":"","snippet":"","spotlight_name":"","section_title":"","position":"Right","spotlight_image":false},{"acf_fc_layout":"content","content":"<p><b><span data-contrast=\"auto\">CHALLENGE<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Over half of a million Americans have died in the past two decades due to opioid overdose. A major challenge contributing to this epidemic is opioid diversion, which is the illegal distribution of prescription drugs. To combat this challenge, auditors need a way to identify fraudulent healthcare workers or persons exploiting the healthcare system. This starts with looking at data associated to the patients, physicians who prescribe opioids, and pharmacies\u2019 distribution of them. Auditors need to visualize the relationships between them to uncover patterns and insights that are not easily observed at first glance. <\/span><\/p>\n<p><span data-contrast=\"auto\">Combining data regarding patients, physicians, treatment centers, and opioid prescriptions can be overwhelmingly vast and difficult to track without the right software. With limited resources to tackle this issue, auditors need to know where to best focus their efforts. They need narrowed data, a straightforward way to view it, and the ability to combine different layers of data to allow for comparison, aggregation, and analysis. A geographic lens is needed to examine the networks between physicians, treatment centers, pharmacy, and patient. <\/span><span data-ccp-props=\"{&quot;335559731&quot;:720}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"content","content":"<p>&nbsp;<\/p>\n<p><b><span data-contrast=\"auto\">SOLUTION<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Using ArcGIS AllSource, auditors can create multiple views of the data, including maps, timelines, link charts, and other charts regarding healthcare providers, pharmacies, and patients. This allows auditors to view locations of the beneficiary homes in geographic relation to the physician and pharmacy. By interrogating the data with ArcGIS AllSource they can answer questions like: How far are beneficiaries traveling for certain doctors or pharmacies? How many other pharmacies are closer to the beneficiary than the one they are driving to? Having these answers helps them to focus their efforts on physicians, treatment centers and pharmacies which need to be investigated further for illegal activities. <\/span><span data-ccp-props=\"{&quot;335559731&quot;:720}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">In this example the auditor began by mapping a physician in Western New York and each of his opioid prescribed patients. They examined the distance between patients\u2019 homes and the physician\u2019s office. Through this they found a few outliers: patients driving abnormally long distances to see the doctor for a prescription.\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1731152,"id":1731152,"title":"Screen Shot 2022-10-10 at 12.32.28 PM","filename":"Screen-Shot-2022-10-10-at-12.32.28-PM.png","filesize":198100,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Screen-Shot-2022-10-10-at-12.32.28-PM.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/allsource\/defense\/arcgis-allsource-revealing-opioid-diversion\/screen-shot-2022-10-10-at-12-32-28-pm","alt":"","author":"312742","description":"","caption":"","name":"screen-shot-2022-10-10-at-12-32-28-pm","status":"inherit","uploaded_to":1730442,"date":"2022-10-10 19:34:19","modified":"2022-10-10 19:34:19","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1546,"height":836,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Screen-Shot-2022-10-10-at-12.32.28-PM-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Screen-Shot-2022-10-10-at-12.32.28-PM.png","medium-width":464,"medium-height":251,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Screen-Shot-2022-10-10-at-12.32.28-PM.png","medium_large-width":768,"medium_large-height":415,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Screen-Shot-2022-10-10-at-12.32.28-PM.png","large-width":1546,"large-height":836,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Screen-Shot-2022-10-10-at-12.32.28-PM-1536x831.png","1536x1536-width":1536,"1536x1536-height":831,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Screen-Shot-2022-10-10-at-12.32.28-PM.png","2048x2048-width":1546,"2048x2048-height":836,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Screen-Shot-2022-10-10-at-12.32.28-PM-826x447.png","card_image-width":826,"card_image-height":447,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Screen-Shot-2022-10-10-at-12.32.28-PM.png","wide_image-width":1546,"wide_image-height":836}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span class=\"NormalTextRun SCXW65409381 BCX0\">The auditor <\/span><span class=\"NormalTextRun SCXW65409381 BCX0\">also looked at the pharmacies at which opioid prescriptions were redeemed. Utilizing geographic networks, they could see where the opioid prescriptions were most often <\/span><span class=\"NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW65409381 BCX0\">picked up<\/span><span class=\"NormalTextRun SCXW65409381 BCX0\">. <\/span><span class=\"NormalTextRun SCXW65409381 BCX0\">This revealed one pharmacy that was being used much more frequently than the rest<\/span><span class=\"NormalTextRun SCXW65409381 BCX0\">.<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1731162,"id":1731162,"title":"Screen Shot 2022-10-10 at 12.34.50 PM","filename":"Screen-Shot-2022-10-10-at-12.34.50-PM.png","filesize":186671,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Screen-Shot-2022-10-10-at-12.34.50-PM.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/allsource\/defense\/arcgis-allsource-revealing-opioid-diversion\/screen-shot-2022-10-10-at-12-34-50-pm","alt":"","author":"312742","description":"","caption":"","name":"screen-shot-2022-10-10-at-12-34-50-pm","status":"inherit","uploaded_to":1730442,"date":"2022-10-10 19:35:04","modified":"2022-10-10 19:35:04","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1548,"height":838,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Screen-Shot-2022-10-10-at-12.34.50-PM-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Screen-Shot-2022-10-10-at-12.34.50-PM.png","medium-width":464,"medium-height":251,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Screen-Shot-2022-10-10-at-12.34.50-PM.png","medium_large-width":768,"medium_large-height":416,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Screen-Shot-2022-10-10-at-12.34.50-PM.png","large-width":1548,"large-height":838,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Screen-Shot-2022-10-10-at-12.34.50-PM-1536x832.png","1536x1536-width":1536,"1536x1536-height":832,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Screen-Shot-2022-10-10-at-12.34.50-PM.png","2048x2048-width":1548,"2048x2048-height":838,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Screen-Shot-2022-10-10-at-12.34.50-PM-826x447.png","card_image-width":826,"card_image-height":447,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Screen-Shot-2022-10-10-at-12.34.50-PM.png","wide_image-width":1548,"wide_image-height":838}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span class=\"NormalTextRun SCXW52120538 BCX0\">Another distance analysis was performed connecting pharmacies to prescription holders, <\/span><span class=\"NormalTextRun SCXW52120538 BCX0\">ultimately revealing<\/span><span class=\"NormalTextRun SCXW52120538 BCX0\"> how far patients drove for this specific pharmacy and how many other pharmacies they passed on their way that would have been a more convenient stop. This <\/span><span class=\"NormalTextRun SCXW52120538 BCX0\">presented<\/span><span class=\"NormalTextRun SCXW52120538 BCX0\"> a pharmacy with <\/span><span class=\"NormalTextRun SCXW52120538 BCX0\">a <\/span><span class=\"NormalTextRun SCXW52120538 BCX0\">remarkably<\/span><span class=\"NormalTextRun SCXW52120538 BCX0\"> high<\/span> <span class=\"NormalTextRun SCXW52120538 BCX0\">drive<\/span><span class=\"NormalTextRun SCXW52120538 BCX0\"> time and driving distance from many of the beneficiaries.<\/span> <span class=\"NormalTextRun SCXW52120538 BCX0\">A buffer <\/span><span class=\"NormalTextRun SCXW52120538 BCX0\">and drive time <\/span><span class=\"NormalTextRun SCXW52120538 BCX0\">analysis was <\/span><span class=\"NormalTextRun CommentStart SCXW52120538 BCX0\">utilized to see other pharmacy options patients could pick up from. With a higher drive time and distance than other pharmacy options, it was revealed that many beneficiaries were going out of their way to retrieve opioids from a single treatment center. An average of eight other options were bypassed on the way to this treatment center.<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1731172,"id":1731172,"title":"Screen Shot 2022-10-10 at 12.35.46 PM","filename":"Screen-Shot-2022-10-10-at-12.35.46-PM.png","filesize":199734,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Screen-Shot-2022-10-10-at-12.35.46-PM.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/allsource\/defense\/arcgis-allsource-revealing-opioid-diversion\/screen-shot-2022-10-10-at-12-35-46-pm","alt":"","author":"312742","description":"","caption":"","name":"screen-shot-2022-10-10-at-12-35-46-pm","status":"inherit","uploaded_to":1730442,"date":"2022-10-10 19:36:01","modified":"2022-10-10 19:36:01","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1548,"height":834,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Screen-Shot-2022-10-10-at-12.35.46-PM-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Screen-Shot-2022-10-10-at-12.35.46-PM.png","medium-width":464,"medium-height":250,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Screen-Shot-2022-10-10-at-12.35.46-PM.png","medium_large-width":768,"medium_large-height":414,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Screen-Shot-2022-10-10-at-12.35.46-PM.png","large-width":1548,"large-height":834,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Screen-Shot-2022-10-10-at-12.35.46-PM-1536x828.png","1536x1536-width":1536,"1536x1536-height":828,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Screen-Shot-2022-10-10-at-12.35.46-PM.png","2048x2048-width":1548,"2048x2048-height":834,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Screen-Shot-2022-10-10-at-12.35.46-PM-826x445.png","card_image-width":826,"card_image-height":445,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/Screen-Shot-2022-10-10-at-12.35.46-PM.png","wide_image-width":1548,"wide_image-height":834}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><b><span data-contrast=\"auto\">BENEFIT<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The auditors were able to reveal potential bad actors using ArcGIS AllSource for intelligence analysis and location intelligence for decision support. It made it easier to identify outliers and facilitate investigative search in a timely manner. Identifying those potentially corrupt physicians and pharmacies gives law enforcement solid leads to act on for safer communities. Additionally, ArcGIS AllSource enables users to capture their workflow so it can be automated and shared with other agencies, cities and states who are also working to combat this crisis. ArcGIS AllSource is a powerful application enabling investigations professionals to act on data making searches seamless, straightforward, and organized.<\/span><\/p>\n"},{"acf_fc_layout":"content","content":"<p style=\"text-align: center\"><a href=\"https:\/\/www.esri.com\/en-us\/arcgis\/products\/arcgis-allsource\/overview\">Learn More About ArcGIS AllSource<\/a><\/p>\n"}],"related_articles":"","card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/banner.png","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/wide.png"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.9 (Yoast SEO v25.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>ArcGIS AllSource: Revealing Opioid Diversion<\/title>\n<meta name=\"description\" content=\"ArcGIS AllSource was utilized to assist auditors in pinpointing Opioid diversion among doctors, patients and treatment centers.\" \/>\n<meta name=\"robots\" content=\"index, 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