{"id":17039,"date":"2026-04-10T15:02:31","date_gmt":"2026-04-10T15:02:31","guid":{"rendered":"https:\/\/www.intelerad.com\/en\/?p=17039"},"modified":"2026-04-10T17:31:47","modified_gmt":"2026-04-10T17:31:47","slug":"what-to-do-when-your-radiology-reporting-system-is-being-phased-out","status":"publish","type":"post","link":"https:\/\/www.intelerad.com\/en\/2026\/04\/10\/what-to-do-when-your-radiology-reporting-system-is-being-phased-out\/","title":{"rendered":"What to Do when Your Radiology Reporting System Is Being Phased Out"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"17039\" class=\"elementor elementor-17039\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5433fc3 e-flex e-con-boxed e-con e-parent\" data-id=\"5433fc3\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"prose elementor-element elementor-element-c6d02e4 elementor-widget elementor-widget-text-editor\" data-id=\"c6d02e4\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span data-contrast=\"auto\">If your radiology reporting system is being retired or moved to a new model, the best next step is to evaluate cloud-based, AI-driven reporting platforms that integrate directly into your workflow. This is a great opportunity to look for a modern reporting software that does more: reducing reporting time, eliminating workflow friction, and future-proofing your operations.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><h2 aria-level=\"1\"><span data-contrast=\"none\">Why Are Radiology Reporting Systems Being Retired?<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:360,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h2><p><span data-contrast=\"auto\">Radiology reporting systems are being replaced because the environments around them are changing.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">Most legacy platforms were designed for a time when radiologists worked within a single site, volumes were more predictable, and reporting was treated as a standalone step at the end of the workflow. Dictation tools were built to capture what was said, not to actively support how radiologists think and work.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">But that model no longer holds.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">Today, radiologists operate across distributed networks, balancing higher study volumes, tighter turnaround expectations, and increasing reliance on AI. In this environment, systems built around rigid commands, local infrastructure, and disconnected workflows start to create friction instead of removing it.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><h2 aria-level=\"1\"><span data-contrast=\"none\">What Should You Look for in a Modern Radiology Reporting Solution?<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:360,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h2><p><span data-contrast=\"auto\">Modern reporting solutions are no longer standalone tools. They\u2019re part of a continuous diagnostic workflow, where prioritization, interpretation, and reporting happen together\u2014not in separate steps. That changes what actually matters.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">Instead of asking how well a system captures speech, leading organizations are evaluating how well it supports the entire reporting process, from the moment a study appears on the worklist to the final signed report.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">The most effective solutions share a few defining characteristics:<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Reporting embedded directly into the reading workflow: <\/span><\/b><span data-contrast=\"auto\">Radiologists shouldn\u2019t have to leave their primary workspace to create a report. The experience should be continuous from image to output.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">AI that assists with report creation, not just transcription: <\/span><\/b><span data-contrast=\"auto\">Modern platforms use generative AI to structure, pre-populate, and refine reports in real time, reducing repetitive input and manual edits.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Seamless integration with existing systems:<\/span><\/b><span data-contrast=\"auto\"> The solution should work across your current PACS, RIS, and AI tools without requiring a full system replacement.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"4\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Cloud-based delivery that supports scale and flexibility: <\/span><\/b><span data-contrast=\"auto\">Whether teams are on-site or remote, performance and access should be consistent without adding IT burden.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"5\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Minimal disruption to radiologists: <\/span><\/b><span data-contrast=\"auto\">Adoption should feel natural. If a system requires extensive retraining or workflow changes, it slows down the very efficiency gains it promises.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><p><span data-contrast=\"auto\">Ultimately, the goal is to remove friction from the reporting process entirely.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><h2 aria-level=\"1\"><span data-contrast=\"none\">Cloud vs. On-Premise Radiology Reporting, What\u2019s Right for You?<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:360,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h2><p><span data-contrast=\"auto\">The shift from on-premise to cloud reporting is an operational decision. On one hand, on-premise systems give organizations a sense of control. Infrastructure is local, data stays within the network, and teams manage performance directly. For some environments, especially those with strict internal IT requirements, that model still works.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">But that comes with some tradeoffs. Maintaining on-premise reporting systems requires ongoing investment in hardware, upgrades, security, and downtime management. Scaling to support growth or even temporary spikes in volume can be slow and resource-intensive.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">Cloud-based reporting allows organizations to treat reporting like accessing a service. Performance, updates, and scalability are handled behind the scenes, allowing teams to focus on clinical workflows instead of system maintenance. This also makes it easier to support remote reading, multi-site operations, and evolving AI integrations.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">In practice, the decision often comes down to this:<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">If your priority is control over infrastructure, on-premise may still be viable<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">If your priority is flexibility, scalability, and reduced IT burden, cloud becomes the stronger option<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><p><span data-contrast=\"auto\">Many organizations are landing somewhere in between, adopting cloud-based reporting while maintaining elements of their existing environment to reduce risk and transition gradually.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><h2 aria-level=\"1\"><span data-contrast=\"none\">A Modern Radiology Reporting System Replacement: InteleOrchestrator\u2122 &amp; RADPAIR<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:360,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h2><p><span data-contrast=\"auto\">The most effective reporting solutions don\u2019t treat reporting as a separate tool, they embed it directly into the workflow and enhance it with AI. This is exactly the model behind solutions like <\/span><a href=\"https:\/\/www.intelerad.com\/en\/self-guided-demo\/inteleorchestrator-integration-with-radpair\/\"><span data-contrast=\"none\">InteleOrchestrator paired with RADPAIR<\/span><\/a><span data-contrast=\"auto\">.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">Instead of adding another application to manage, this approach brings everything into a single, continuous experience, from study prioritization to final report. The resulting workflow allows radiologists to move from case to case in a continuous flow. The system surfaces the right study, brings forward the relevant context, and supports report creation in real time.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">Instead of relying on structured commands and manual input, radiologists can speak naturally while AI generates and structures the report as they go.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">Because everything happens in one place, the workflow starts to feel different. The combined solution is designed to provide less context switching, less time spent navigating systems, and less mental overhead in deciding what to read next or how to structure a report. <\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">The real impact shows up in efficiency gains. Teams using InteleOrchestrator and RADPAIR report 30\u201340% improvements in reporting efficiency, along with faster turnaround times and a more consistent reporting experience*.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><h3 aria-level=\"2\"><span data-contrast=\"none\">How Can You Modernize Radiology Reporting with Intelerad?<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h3><p><span data-contrast=\"auto\">If you\u2019re evaluating your next reporting system, this is an opportunity to move beyond incremental improvements and adopt a more integrated approach. With Intelerad, you can bring workflow orchestration and AI-driven reporting together in a single environment, improving efficiency without disrupting what already works.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">Request a demo to see how InteleOrchestrator and RADPAIR can fit into your existing workflow and transform how reporting gets done.<\/span>\u00a0<br \/>\u00a0<br \/><span data-contrast=\"auto\">*Based on internal data provided by RADPAIR. <\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3abf99f elementor-widget elementor-widget-html\" data-id=\"3abf99f\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [{\n    \"@type\": \"Question\",\n    \"name\": \"How Reliable is the Platform When it Matters Most?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"Reliability is the single most important factor when choosing an imaging partner because downtime directly disrupts patient care, radiologist productivity, and revenue. If radiologists cannot read, your organization cannot function \u2014 and every minute of unplanned downtime has a measurable cost. \n \nThe financial stakes are enormous. According to the Ponemon Institute, healthcare organizations lose an average of $7,500 per minute of downtime. For medium-sized hospitals, a one-hour outage can cost $1.7 million, while large hospitals face losses of up to $3.2 million per hour. Beyond revenue, downtime during critical operations can jeopardize patient safety, erode trust, and trigger regulatory scrutiny. \n\nA reliable imaging partner must prove they can maintain uptime, protect data, and restore workflows quickly during disruptions.\"\n    }\n  },{\n    \"@type\": \"Question\",\n    \"name\": \"Does the Platform Make Radiologists\u2019 Daily Workflow Easier?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"The best imaging platforms automate case distribution based on subspecialty and workload, unify worklists and reporting into a single interface, and minimize the number of clicks between studies \u2014 reducing the cognitive load that contributes to radiologist burnout. Workflow efficiency directly impacts productivity, turnaround times, and retention. \n\nThe urgency is supported by data. According to Medscape\u2019s 2023 Physician Burnout and Depression Report, 54% of radiologists experience burnout, up from 49% in 2022. An ACR Bulletin survey showed that 44% of male radiologists and 65% of female radiologists report feeling burned out or depressed. These numbers are compounded by rising workloads: according to a January 2026 JACR study, U.S. imaging exam volume grew 31% between 2018 and early 2024, at a compound annual growth rate of 4.6%. But the burden is not shared equally \u2014 the top quartile of radiologists by reading volume saw their daily exam load increase by 31% over that period, while bottom-quartile radiologists saw their productivity decline. \n\nMany organizations operate across multiple PACS, separate worklists, and disconnected reporting tools. This fragmentation forces radiologists to manually select cases, toggle between systems, and manage subspecialty distribution themselves. Over time, this \u201ccognitive tax\u201d slows reading, increases errors, and contributes to burnout especially in high-volume or remote reading environments.\"\n    }\n  },{\n    \"@type\": \"Question\",\n    \"name\": \"Can the Imaging Partner Scale and Grow with Your Organization?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"A scalable imaging partner should support your growth over the next decade, not just meet today\u2019s requirements.  \n\nThe market data underscores why scalability matters now. According to Vizient, the U.S. diagnostic imaging industry generated more than $140 billion in revenue in 2023 and is projected to grow at a 4.25% CAGR through 2030. Research from the Neiman Health Policy Instituteprojects that imaging utilization will be 17\u201327% higher by 2055 than 2023 levels, driven primarily by population growth and aging. Meanwhile, 40% of radiology volume is now performed at outpatient imaging centers and clinics, with outpatient imaging growth outpacing the overall radiology market. \n\nRadiology organizations grow through hospital contracts, imaging center acquisitions, subspecialty expansion, and geographic distribution. 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According to Mordor Intelligence, the FDA had cleared more than 500 AI-enabled medical devices by 2024, many of them in radiology. Organizations that cannot integrate these capabilities quickly risk falling behind operationally and competitively. \n\n The strongest imaging partners innovate in two ways: by continuously improving the core platform, and by enabling seamless adoption of new technologies from external partners and developers.\"\n    }\n  },{\n    \"@type\": \"Question\",\n    \"name\": \"Can the Imaging Partner Prove Measurable Clinical and Operational Impact?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"The strongest imaging partners demonstrate measurable outcomes \u2014 including specific turnaround time reductions, radiologist productivity gains, downtime decreases, cost savings, and client satisfaction metrics. If clinical and operational impact cannot be quantified, it is difficult to justify long-term investment or strategic alignment. \n\nImaging leaders are under pressure to improve turnaround times, balance radiologitst workloads, strengthen compliance, reduce IT burden, and protect margins. Innovation, reliability, and scalability only matter if they translate into better performance across these dimensions.\"\n    }\n  }]\n}\n<\/script>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Radiology reporting systems are being retired as workflows become more complex and distributed. Legacy platforms can\u2019t keep pace, creating friction instead of efficiency. Modern cloud-based solutions streamline workflows, reduce turnaround times, and better support today\u2019s radiologists.<\/p>\n","protected":false},"author":15,"featured_media":15718,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-17039","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.2 (Yoast SEO v26.4) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What to Do when Your Radiology Reporting System Is Being Phased Out - Intelerad<\/title>\n<meta name=\"description\" content=\"Radiology reporting systems are being phased out as workflows evolve. 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