{"id":22554,"date":"2022-10-01T00:00:31","date_gmt":"2022-10-01T00:00:31","guid":{"rendered":"https:\/\/todaysveterinarybusiness.com\/?p=22554"},"modified":"2022-09-28T20:36:13","modified_gmt":"2022-09-28T20:36:13","slug":"veterinary-artificial-intelligence-1022","status":"publish","type":"post","link":"https:\/\/navc.sitepreview.app\/todaysveterinarybusiness.com\/veterinary-artificial-intelligence-1022\/","title":{"rendered":"AI Delivers Results for the Patient and Practice"},"content":{"rendered":"<p style=\"font-weight: 400;\">Veterinarians understand the benefits of radiology, but its value depends on the accurate interpretation of images, which is often harder to accomplish compared with other diagnostic tools, such as laboratory testing. Enter radiographic interpretation using artificial intelligence, a relatively new option in veterinary medicine but one that many practices have embraced as a welcome addition to their reading of images.<\/p>\n<p style=\"font-weight: 400;\">AI shouldn\u2019t be thought of as a replacement for a veterinarian\u2019s skills and knowledge, regardless of whether the doctor is a general practitioner or specialist (particularly a board-certified radiologist). Instead, it\u2019s an ancillary tool designed to improve patient care, the client experience and a veterinary practice\u2019s efficiency.<\/p>\n<p style=\"font-weight: 400;\">The most important benefit centers, of course, on the quality of care. Using an AI radiology tool puts another set of eyes on an image and might confirm the practice team\u2019s original findings or identify additional results. Either way, the team\u2019s confidence in the reading improves, and support for the diagnosis and pet owner recommendations is strengthened. This is particularly helpful for recent DVM graduates and those with less radiographic interpretation experience. AI also can reduce the need for a more senior veterinarian to be involved in many interpretations.<\/p>\n<p style=\"font-weight: 400;\">Depending on the AI provider selected, quick turnaround of the reports (often within minutes) and around-the-clock availability elevate client service. In addition, providing the pet owner with a copy of the report can emphasize the importance and value of the diagnostic test.<\/p>\n<p style=\"font-weight: 400;\">Passing the cost of AI readings onto the client, most commonly with a markup, improves a practice\u2019s revenue and profits. Radiology equipment costs the same whether used once a week or 50 times, so anything that increases its usage reduces the per-image cost.<\/p>\n<p style=\"font-weight: 400;\">One of the best things about implementing AI is the general ease and speed. But how do you go about it? Here are six steps.<\/p>\n<h3 style=\"font-weight: 400;\"><strong>1. Select an AI Radiology Provider<\/strong><\/h3>\n<p style=\"font-weight: 400;\">One of the first things you\u2019ll investigate is the technology, but that\u2019s far from the only consideration. See \u201cAdditional Factors\u201d below.<\/p>\n<h3 style=\"font-weight: 400;\"><strong>2. Begin the Integration<\/strong><\/h3>\n<p style=\"font-weight: 400;\">Little to no change will occur when you take radiographs, but you\u2019ll need to determine:<\/p>\n<ul>\n<li>How to upload radiographs to the AI provider. Often, it\u2019s automatic.<\/li>\n<li>How your doctors will receive an AI report and when they\u2019ll discuss the findings with clients. At some practices, the veterinarian prefers getting reports within minutes of taking the X-rays and then updating clients before they leave the building. At others, the doctor has an initial conversation with the client based on the first image reads and then reviews the AI report later in the day before sharing it with the pet owner by phone or electronically.<\/li>\n<li>How to inform clients about the AI service. For example, some practices say it\u2019s another type of review and is treated as a benefit. Other hospitals might share the findings without mentioning AI.<\/li>\n<\/ul>\n<h3 style=\"font-weight: 400;\"><strong>3. Train the Team<\/strong><\/h3>\n<p style=\"font-weight: 400;\">Team members should know their roles and responsibilities when utilizing the technology. Ask yourself:<\/p>\n<ul>\n<li>Who will upload images to the <a href=\"https:\/\/todaysveterinarybusiness.com\/artificial-intellience-evolution\/\">AI platform<\/a> if it can\u2019t be done automatically?<\/li>\n<li>How will doctors retrieve the AI results before determining a diagnosis and treatment plan?<\/li>\n<li>How will AI findings be shown in the pet\u2019s medical record? Will a doctor or someone else handle the task?<\/li>\n<li>Who will update radiographic service descriptions and prices in the practice information management system?<\/li>\n<li>Who will educate team members about how AI technology works in <a href=\"https:\/\/todaysveterinarypractice.com\/dentistry\/the-importance-of-dental-radiology\/\">veterinary radiology<\/a> and why it\u2019s useful?<\/li>\n<\/ul>\n<h3 style=\"font-weight: 400;\"><strong>4. Price the Service<\/strong><\/h3>\n<p style=\"font-weight: 400;\">Determine:<\/p>\n<ul>\n<li>Will the fee be separated, or will the cost (plus a markup) be reflected in the total price of the radiographs?<\/li>\n<li>How much of a markup? It can\u2019t be so high that it discourages clients from accepting the diagnostic recommendation.<\/li>\n<\/ul>\n<h3 style=\"font-weight: 400;\"><strong>5. Create, Review and Update Your Radiologic Standards<\/strong><\/h3>\n<p style=\"font-weight: 400;\">Any medical protocol is a written guideline stating what the practice thinks is the best medicine in various situations. It doesn\u2019t have to be followed if a client declines the recommendation or a doctor doesn\u2019t think the protocol is warranted. Radiology protocols usually cover:<\/p>\n<ul>\n<li>The types of cases in which the medical team recommends radiographs.<\/li>\n<li>The types and number of images to be taken.<\/li>\n<li>Any related anesthesia recommendations.<\/li>\n<\/ul>\n<h3 style=\"font-weight: 400;\"><strong>6. Measure the Successes or Need for Improvement<\/strong><\/h3>\n<p style=\"font-weight: 400;\">Key metrics include:<\/p>\n<ul>\n<li>Radiology revenue as a percentage of total gross revenue.<\/li>\n<li>The number and percentage of clients who accept an AI X-ray recommendation.<\/li>\n<li>The number and percentage of pets who have X-rays done before and after the implementation of AI technology.<\/li>\n<li>The email open rate if AI reports are sent to the client.<\/li>\n<li>Client satisfaction.<\/li>\n<li>Doctor satisfaction with the use of AI and the provider.<\/li>\n<\/ul>\n<p style=\"font-weight: 400;\">There\u2019s no question that some of the challenges veterinarians face in interpreting radiographs can be addressed through the increased availability and use of AI. Fortunately, the implementation doesn\u2019t have to be complicated or expensive, and all parties will benefit.<\/p>\n<hr \/>\n<h3 style=\"font-weight: 400;\"><span style=\"color: #008000;\"><strong>ADDITIONAL FACTORS<\/strong><\/span><\/h3>\n<p style=\"font-weight: 400;\">When selecting a radiology AI provider, consider:<\/p>\n<ul>\n<li>How the AI algorithm was developed and its accuracy.<\/li>\n<li>The process for the ongoing revision and upgrade of the AI algorithm.<\/li>\n<li>The range of body areas and clinical problems covered by the assessment.<\/li>\n<li>The ease of integrating AI into the workflow and uploading images.<\/li>\n<li>The need for additional equipment, if any.<\/li>\n<li>The turnaround time for reports.<\/li>\n<li>The days and hours of report service availability.<\/li>\n<li>The ease of retrieving and reviewing reports.<\/li>\n<li>The quality of the reports.<\/li>\n<li>The AI provider\u2019s technical support.<\/li>\n<li>The cost.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Image interpretation using artificial intelligence can improve your radiographic services if you follow these six steps.<\/p>\n","protected":false},"author":211,"featured_media":22555,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"iawp_total_views":0,"footnotes":""},"categories":[395],"tags":[],"class_list":["post-22554","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-october-november-2022","clinical_topics-innovation-technology","clinical_topics-patient-care"],"acf":{"hide_sidebar":false,"hide_sidebar_ad":false,"hide_all_ads":false},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v24.7 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>AI Delivers Results for the Patient and Practice | Today&#039;s Veterinary Business<\/title>\n<meta name=\"description\" content=\"AI is an ancillary tool designed to improve patient care, the client experience and a veterinary practice\u2019s efficiency.\" \/>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI Delivers Results for the Patient and Practice\" \/>\n<meta property=\"og:description\" content=\"AI is an ancillary tool designed to improve patient care, the client experience and a veterinary practice\u2019s efficiency.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/navc.sitepreview.app\/todaysveterinarybusiness.com\/veterinary-artificial-intelligence-1022\/\" \/>\n<meta property=\"og:site_name\" content=\"Today&#039;s Veterinary Business\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/todaysveterinarybusiness\" \/>\n<meta property=\"article:published_time\" content=\"2022-10-01T00:00:31+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/navc.sitepreview.app\/todaysveterinarybusiness.com\/wp-content\/uploads\/sites\/2\/2022\/09\/AI-1022.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"544\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Karen E. 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