{"id":17079,"date":"2026-04-21T15:31:35","date_gmt":"2026-04-21T15:31:35","guid":{"rendered":"https:\/\/www.intelerad.com\/en\/?post_type=resource-library&#038;p=17079"},"modified":"2026-04-21T15:50:24","modified_gmt":"2026-04-21T15:50:24","slug":"radiology-consultants-of-iowa","status":"publish","type":"resource-library","link":"https:\/\/www.intelerad.com\/en\/case-studies\/radiology-consultants-of-iowa\/","title":{"rendered":"Radiology Consultants of Iowa"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"17079\" class=\"elementor elementor-17079\" data-elementor-post-type=\"resource-library\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8bf5311 e-flex e-con-boxed e-con e-parent\" data-id=\"8bf5311\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-80e228f elementor-align-center elementor-widget elementor-widget-button\" data-id=\"80e228f\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/www.intelerad.com\/en\/wp-content\/uploads\/sites\/2\/2026\/04\/How-RCI-Standardized-Its-Imaging-Operations-with-Intelerad-Case-Study.pdf\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Download PDF Version<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\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<div class=\"elementor-element elementor-element-bf56428 e-flex e-con-boxed e-con e-parent\" data-id=\"bf56428\" 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-1a1c6289 elementor-widget elementor-widget-text-editor\" data-id=\"1a1c6289\" 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<h2><span data-contrast=\"auto\">How RCI Standardized Its Imaging Operations with Intelerad<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:80,&quot;335559740&quot;:240}\">\u00a0<\/span><\/h2><p><a href=\"https:\/\/rciowa.com\/\"><span data-contrast=\"none\">Radiology Consultants of Iowa (RCI)<\/span><\/a><span data-contrast=\"auto\"> standardized its imaging operations with <\/span><a href=\"https:\/\/www.intelerad.com\/en\/all-products\/intelepacs\/\"><span data-contrast=\"none\">IntelePACS<\/span><\/a><span data-contrast=\"none\">\u00ae<\/span><span data-contrast=\"auto\">, <\/span><a href=\"https:\/\/www.intelerad.com\/en\/all-products\/inteleorchestrator\/\"><span data-contrast=\"none\">InteleOrchestrator\u2122,<\/span><\/a> <a href=\"https:\/\/www.intelerad.com\/en\/all-products\/intelearchive\/\"><span data-contrast=\"none\">InteleArchive\u2122<\/span><\/a><span data-contrast=\"auto\">, and <\/span><a href=\"https:\/\/www.intelerad.com\/en\/all-products\/inteleshare\/\"><span data-contrast=\"none\">InteleShare\u2122<\/span><\/a><span data-contrast=\"auto\"> to manage increasing study volume, distributed radiologists, and multisite complexity. The integrated platform unified multiple PACS worklists, automated study routing by urgency, subspecialty, and coverage model, and enabled reliable remote access to current and prior exams. This architecture allowed RCI to scale to approximately 660,000 studies annually while reducing manual coordination and maintaining consistent radiologist workflows across locations.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:2,&quot;335559739&quot;:0,&quot;335559740&quot;:300}\">\u00a0<\/span><\/p><h2 aria-level=\"2\"><span data-contrast=\"none\">Key Outcomes<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h2><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"8\" 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\">Unified a fragmented imaging environment<\/span><\/b><span data-contrast=\"auto\">: Multiple PACS systems and worklists were consolidated into a single, orchestrated workflow, simplifying daily operations.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"8\" 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\">Enabled remote reading at scale<\/span><\/b><span data-contrast=\"auto\">: Remote access to current and historical imaging supported reliable reading from home offices and critical access hospitals.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"8\" 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\">Improved radiologist efficiency and adoption<\/span><\/b><span data-contrast=\"auto\">: Consolidated worklists and auto-next functionality reduced cognitive load during high-volume reading sessions.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"8\" 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\">Supported growth without proportional overhead:<\/span><\/b><span data-contrast=\"auto\"> RCI scaled to approximately 660,000 annual studies across a distributed workflow without adding administrative complexity or constant IT intervention.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"8\" 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\">Created a future-ready workflow foundation<\/span><\/b><span data-contrast=\"auto\">: By layering orchestration and archive capabilities onto a stable PACS environment, RCI positioned itself to absorb unforeseen operational change while maintaining performance and service quality.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><h2 aria-level=\"1\"><span data-contrast=\"none\">The Challenge\u00a0<\/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\">RCI needed a unified workflow foundation that could absorb change without sacrificing speed, accuracy, or radiologist satisfaction. Like many growing radiology groups, RCI was operating in a changing environment. Imaging volumes were steadily increasing year over year, radiologists were becoming more geographically distributed, and subspecialty expectations were rising across the organization. At the same time, workflows were still anchored to legacy assumptions: on-site reading, siloed PACS environments, and manual coordination between teams.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">RCI\u2019s radiologists were reading across two separate PACS systems, each with its own worklist and workflow logic. This required frequent context switching, manual exam selection, and workarounds to manage urgency, subspecialty alignment, and coverage across sites. As remote reading expanded, those inefficiencies became harder to sustain.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">Compounding the challenge, there was also natural skepticism among radiologists. Any new system would need to justify its cost, avoid slowing readers down, and prove its value in day-to-day practice. Efficiency gains alone weren\u2019t enough.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><h2 aria-level=\"1\"><span data-contrast=\"none\">The 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\">RCI implemented IntelePACS in 2017 as their primary imaging system, later adding InteleOrchestrator, InteleArchive, and InteleShare to create an integrated, adaptable infrastructure.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">IntelePACS replaced their deteriorating PACS system, providing the stability and reliability that had been sorely lacking. IntelePACS offered significantly improved image sharing capabilities across facilities, with the flexibility to handle both compressed and uncompressed images based on receiving facility requirements. These features streamlined their referral workflows and enhanced hanging protocols, which improved the diagnostic reading experience.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">The decision to adopt InteleOrchestrator was initially driven by a need to better distribute studies based on subspecialty and availability. But the real value emerged over time. As reading patterns shifted, remote work expanded, and new coverage models were introduced, InteleOrchestrator gave RCI the flexibility to adapt, automating decisions that previously required manual coordination and constant oversight.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">With a single, consolidated worklist, radiologists no longer needed to toggle between environments or manage competing queues. Studies are now automatically routed based on real-time variables such as urgency, subspecialty, time of day, and coverage model, ensuring the right radiologist sees the right exam at the right moment. For those who choose to use it, auto-next features remove the need to search for the next case.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">InteleArchive provided long-term storage with rapid streaming capabilities that dramatically improved performance over high-latency networks. Unlike traditional DICOM retrieval, which is notoriously slow across distributed environments, InteleArchive\u2019s streaming technology enabled fast, efficient access to prior studies. InteleShare works in harmony with InteleArchive to store and share images across all sites that they read for.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">Together, these solutions created a flexible, future-ready platform that enabled growth.\u00a0<\/span><\/p><blockquote><p><span data-contrast=\"auto\">I don&#8217;t think we could operate as we do today without it.\u201d <\/span><i><span data-contrast=\"auto\">&#8211; Jeff Ahrendsen, PACS Manager<\/span><\/i><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><\/blockquote><h3 aria-level=\"2\"><span data-contrast=\"none\">How It Works<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h3><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" 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\">IntelePACS provides stable, reliable image viewing with enhanced hanging protocols and efficient image sharing capabilities across RCI&#8217;s multiple facilities, handling both compressed and uncompressed images based on receiving facility requirements.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" 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\">InteleOrchestrator unifies studies from multiple PACS systems into a single, dynamic worklist, eliminating the need to switch between systems or manage multiple queues. Each exam automatically opens in the appropriate viewer.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" 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\"><span data-contrast=\"auto\">Exams are routed and prioritized using configurable rules that account for urgency, subspecialty, radiologist availability, time of day, and coverage model, ensuring the right exam reaches the right reader at the right time.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" 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\"><span data-contrast=\"auto\">Radiologists who embrace auto-next functionality experience significant efficiency gains as the system queues their next case immediately upon completion, eliminating manual search and selection.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" 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\"><span data-contrast=\"auto\">Communication notes enable asynchronous collaboration between radiologists and technologists, removing studies from the worklist until issues like missing priors or additional views are resolved, then automatically returning them to the queue.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" 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=\"6\" data-aria-level=\"1\"><span data-contrast=\"auto\">InteleArchive&#8217;s streaming technology delivers fast access to current and prior studies across high-latency networks, enabling seamless remote reading from critical access hospitals, home offices, and distributed locations.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><p><span data-contrast=\"auto\">This allows RCI to operate efficiently with an increasingly remote workforce, adapt to unforeseen workflow changes, and scale their annual reads across facilities.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><h3 aria-level=\"2\"><span data-contrast=\"none\">Operational Impact\u00a0<\/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\">Before implementing Intelerad\u2019s solutions, RCI faced:<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"3\" 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\">Separate PACS systems with independent queues<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"3\" 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\">Manual workload balancing across sites, shifts, and subspecialties<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"3\" 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\"><span data-contrast=\"auto\">Limited visibility into exam priority, increasing the risk of delaying urgent studies<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"3\" 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\"><span data-contrast=\"auto\">Reliance on phone calls for radiologist communication to resolve missing priors, additional views, or get questions answered<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"3\" 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\"><span data-contrast=\"auto\">Performance sensitivity when accessing older or archived studies across distributed locations<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"3\" 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=\"6\" data-aria-level=\"1\"><span data-contrast=\"auto\">Workflow changes requiring manual intervention and constant oversight from IT and PACS teams<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><p><span data-contrast=\"auto\">After implementing IntelePACS, InteleOrchestrator, InteleArchive, and InteleShare, RCI now has:<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"5\" 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\">Centralized exam management across sites<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"5\" 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\">Automated workload distribution that adapts in real time to volume, staffing, subspecialty, and coverage models<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"5\" 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\"><span data-contrast=\"auto\">Consistent and automatic prioritization of urgent, routine, and subspecialty exams<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"5\" 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\"><span data-contrast=\"auto\">Structured, in-workflow communication between radiologists and technologists using communication notes\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"5\" 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\"><span data-contrast=\"auto\">Fewer disruptive phone calls and less operational back-and-forth during the day<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"5\" 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=\"6\" data-aria-level=\"1\"><span data-contrast=\"auto\">Reliable, streaming-enabled access to current and historical imaging through InteleArchive<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><ul><li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"5\" 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=\"7\" data-aria-level=\"1\"><span data-contrast=\"auto\">Reduced day-to-day dependence on PACS and IT teams to manually coordinate workflows or troubleshoot access issues<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><h2 aria-level=\"1\"><span data-contrast=\"none\">Results\u00a0<\/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\">By standardizing imaging workflows with IntelePACS, InteleOrchestrator, InteleArchive, and InteleShare, RCI has been able to scale reading operations while maintaining consistency across a distributed radiology workforce. Today, approximately 25 radiologists support approximately 660,000 studies annually, with imaging volume continuing to increase year over year, without requiring proportional increases in administrative effort or workflow complexity.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">The most significant outcome has been RCI\u2019s ability to adapt to change without disruption. Remote reading expanded from an exception to a core operating model, subspecialty coverage became easier to manage across sites, and the introduction of an external overnight reading group was absorbed into existing workflows rather than forcing redesigns or manual coordination.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">\u201cWe really liked it [InteleOrchestrator] before some of these changes, but as these unforeseen circumstances have occurred, we&#8217;ve realized much greater value than we anticipated.\u201d <\/span><i><span data-contrast=\"auto\">&#8211; Joe Mo<\/span><\/i><i><span data-contrast=\"auto\">ore, Chief Information Officer<\/span><\/i><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">Radiologist adoption followed a similar trajectory. While there was early skepticism around workflow automation, many readers now rely on features like consolidated worklists and auto-next to reduce friction and maintain focus during high-volume reading sessions. In areas such as mammography, &#8220;they saw a huge increase in efficiency,\u201d said Ahrendsen, which drove broad support for new reading workflows.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">RCI also gained confidence in the reliability and performance of its imaging environment. Streaming-enabled access to current and historical studies supported remote reading and reduced sensitivity to network latency, helping ensure consistent performance as volumes and data retention needs continued to grow.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">While technology drove these outcomes, responsive support reinforced them. As workflows evolved, Intelerad\u2019s team remained engaged to help refine configurations and address issues quickly, allowing RCI to sustain operational improvements over time, rather than plateau after implementation.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">These results positioned RCI to grow without additional effort, absorb unforeseen operational change, and maintain a high standard of radiology service delivery, even as complexity increased.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><h2 aria-level=\"1\"><span data-contrast=\"none\">Why It Matters<\/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 groups are operating in an environment where change is constant and rarely predictable. RCI\u2019s experience shows that meeting these demands requires a workflow foundation that can adapt as conditions change. By layering intelligent orchestration and modern archive and sharing capabilities onto a stable PACS environment, RCI was able to adapt without disrupting care delivery.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">Equally important, the case highlights the value of solutions that radiologists enjoy using. When workflows reduce cognitive load and remove unnecessary decision-making, adoption follows naturally, unlocking efficiency, consistency, and resilience at scale.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">For radiology groups facing uncertainty about what\u2019s coming next, whether it\u2019s new coverage models, staffing pressures, or continued volume growth, this approach is a blueprint for long-term success. Instead of trying to predict every future requirement, organizations can invest in systems designed to absorb change, enabling them to respond with confidence when the next shift inevitably arrives.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><i><span data-contrast=\"auto\">The capabilities and outcomes described throughout this case study are based on Radiology Consultants of Iowa\u2019s experience using Intelerad solutions in their operational environment.<\/span><\/i><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\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Radiology Consultants of Iowa (RCI) standardized its imaging operations with IntelePACS, InteleOrchestrator, InteleArchive, and InteleShare to manage increasing study volume, distributed radiologists, and multisite complexity.<\/p>\n","protected":false},"featured_media":16059,"template":"","resource-category":[],"resource-type":[17],"class_list":["post-17079","resource-library","type-resource-library","status-publish","has-post-thumbnail","hentry","resource-type-case-studies"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.2 (Yoast SEO v26.4) - 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