{"id":746,"date":"2026-05-16T20:17:42","date_gmt":"2026-05-16T20:17:42","guid":{"rendered":"https:\/\/www.elevidagroup.com\/blog\/?p=746"},"modified":"2026-05-16T21:55:24","modified_gmt":"2026-05-16T21:55:24","slug":"the-floor-is-rising-in-revenue-cycle-and-most-hospitals-are-still-looking-at-the-ceiling","status":"publish","type":"post","link":"https:\/\/www.elevidagroup.com\/blog\/the-floor-is-rising-in-revenue-cycle-and-most-hospitals-are-still-looking-at-the-ceiling\/","title":{"rendered":"The Floor Is Rising In Revenue Cycle, And Most Hospitals Are Still Looking At The Ceiling"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"746\" class=\"elementor elementor-746 elementor-bc-flex-widget\">\n\t\t\t\t<div class=\"elementor-element elementor-element-s03lrmt e-flex e-con-boxed e-con e-parent\" data-id=\"s03lrmt\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-kne7g7w elementor-widget elementor-widget-heading\" data-id=\"kne7g7w\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">I had a conversation last week with a healthcare leader who asked me a very specific question: \"Where exactly is AI working in revenue cycle right now?\"<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-gvfdxg1 elementor-widget elementor-widget-text-editor\" data-id=\"gvfdxg1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">It is a fair question, and honestly, the answer is more nuanced than most vendors would have you believe. AI is delivering in some places, stalling in others, and the difference between the two has very little to do with the technology itself.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-lcevuee elementor-widget elementor-widget-text-editor\" data-id=\"lcevuee\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Becker&#8217;s just published a piece that captures this tension well. Their framing is that <a href=\"https:\/\/www.beckershospitalreview.com\/finance\/revenue-cycle-management\/the-floor-is-rising-how-ai-is-reshaping-revenue-cycle-and-whats-holding-it-back\/\">&quot;the floor is rising&quot;<\/a> in revenue cycle, and the teams seeing the best results are investing as much in workforce preparedness as they are in the tools themselves. That last part is what caught my attention or stuck with me.<\/span><\/p>\t\t\t\t\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-e6dwksp e-flex e-con-boxed e-con e-parent\" data-id=\"e6dwksp\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-37e2i8x elementor-widget elementor-widget-heading\" data-id=\"37e2i8x\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Where AI Is Actually Working (And Where It Isn't)<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-v8zbql7 elementor-widget elementor-widget-text-editor\" data-id=\"v8zbql7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">According to Becker&#8217;s reporting, AI has been most successful when embedded into existing workflows rather than stacked on top of them. Coding assistance, denial management, the kind of work where the AI is supporting a process that already has structure and feedback loops.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-31xo836 elementor-widget elementor-widget-text-editor\" data-id=\"31xo836\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">What is moving slower? Prior authorization bottlenecks, patient-facing registration tools, analytics platforms, all the areas everyone expected to be transformed by now.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-u4eslol elementor-widget elementor-widget-text-editor\" data-id=\"u4eslol\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Why the gap? In my opinion, it is not necessarily an AI problem. It is the difference between augmenting a workflow your team already understands versus dropping a tool into a space where the process itself is broken (or at least, not fully defined). AI can accelerate a good process, but it tends to expose a bad one.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-vgxrp3w elementor-widget elementor-widget-text-editor\" data-id=\"vgxrp3w\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">I have seen this play out time and time again, where teams expect the tool to fix the workflow, and what actually happens is the tool reveals every assumption nobody wrote down.<\/span><\/p>\t\t\t\t\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-q6dnhk0 e-flex e-con-boxed e-con e-parent\" data-id=\"q6dnhk0\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-q5l1gaw elementor-widget elementor-widget-heading\" data-id=\"q5l1gaw\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">The \"Floor Is Rising\" Reframe<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9b4axq3 elementor-widget elementor-widget-text-editor\" data-id=\"9b4axq3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The phrase Becker&#8217;s uses, &quot;the floor is rising,&quot; is worth sitting with for a second, because it reframes the whole conversation. Most leaders are asking how high AI can take them. The more useful question, given what I have seen so far, is what AI is doing to the baseline of work everyone on the team is now expected to perform.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-585hgtb elementor-widget elementor-widget-text-editor\" data-id=\"585hgtb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">When a coder has AI assistance, the floor of acceptable productivity moves up. When a denial management workflow has AI triage built in, the expectation of how many denials get worked per week moves up. The ceiling is still being established, but the floor is shifting under people&#8217;s feet right now, whether they feel ready or not.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-pab6hhb elementor-widget elementor-widget-text-editor\" data-id=\"pab6hhb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">And this is where things get interesting for healthcare leaders, because rising floors are a workforce question, not a technology question.<\/span><\/p>\t\t\t\t\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-v8bz2o5 e-flex e-con-boxed e-con e-parent\" data-id=\"v8bz2o5\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f95m2zt elementor-widget elementor-widget-heading\" data-id=\"f95m2zt\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">What The Evidence Is Saying Across Regulated Industries<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3tkvqmt elementor-widget elementor-widget-text-editor\" data-id=\"3tkvqmt\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The pattern is not unique to healthcare. In a <a href=\"https:\/\/www.insurancebusinessmag.com\/ca\/news\/technology\/ai-push-puts-human-judgment-back-at-the-center-of-insurance--new-ceo-study-575186.aspx\">recent CEO study on insurance AI adoption<\/a>, leaders argued that as AI touches almost every part of the value chain, human judgment, empathy and strategic decision-making become more important alongside automation, not less. The same study highlights how boards are now wrestling with model governance, bias, explainability, and how to keep AI aligned with risk appetite and fair-treatment obligations.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-spc848p elementor-widget elementor-widget-text-editor\" data-id=\"spc848p\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">That is the same conversation healthcare CFOs and revenue cycle leaders are having, just with different vocabulary. Substitute &quot;fair-treatment obligations&quot; with &quot;denial defensibility&quot; and &quot;model risk&quot; with &quot;coding accuracy at scale&quot; and the questions are nearly identical.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-pwp2cex elementor-widget elementor-widget-text-editor\" data-id=\"pwp2cex\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">In a related piece, <a href=\"https:\/\/www.insurancebusinessmag.com\/us\/news\/technology\/rewriting-insurance-transformation-by-putting-human-experience-at-the-center-of-ai-575080.aspx\">&quot;Rewriting insurance transformation by putting human experience at the center of AI&quot;<\/a>, the argument is that change management cannot be delegated entirely to IT. Successful transformations require over-communication, early wins, and visible inclusion across all employee groups, including demonstrating how AI enhances roles rather than replacing them.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-lz4syhw elementor-widget elementor-widget-text-editor\" data-id=\"lz4syhw\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">I would argue that in revenue cycle, this is even more acute. RCM teams have spent years being told automation was coming for their jobs. Now AI is here, the floor is rising, and the people closest to the work are being asked to adapt to tools that were often selected without their input.<\/span><\/p>\t\t\t\t\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-z2hf9jf e-flex e-con-boxed e-con e-parent\" data-id=\"z2hf9jf\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-y6vni9c elementor-widget elementor-widget-heading\" data-id=\"y6vni9c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">What This Means For Healthcare Leaders<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-sxh1vv1 elementor-widget elementor-widget-text-editor\" data-id=\"sxh1vv1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">If you are a CFO, COO, or revenue cycle leader trying to make sense of where to invest, I want to validate something first. The fact that you are asking these questions, that you are noticing the gap between vendor promises and actual results, that is the right starting point. A lot of organizations are not even there yet.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-w6p0768 elementor-widget elementor-widget-text-editor\" data-id=\"w6p0768\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">That said, here is what I would push you to think about:<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-csij2mu elementor-widget elementor-widget-text-editor\" data-id=\"csij2mu\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\"><strong>1. Audit the workflow before you audit the tool.<\/strong><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dm7f0w9 elementor-widget elementor-widget-text-editor\" data-id=\"dm7f0w9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">If prior authorization is stalling with your AI investment, the first question is not &quot;is this the right AI?&quot; It is &quot;does our prior auth workflow have enough structure for any tool to accelerate it?&quot; In a lot of cases, the answer is no, and that is not the vendor&#8217;s fault.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7brnzeb elementor-widget elementor-widget-text-editor\" data-id=\"7brnzeb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\"><strong>2. Measure workforce readiness, not just adoption.<\/strong><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-i7jzs2k elementor-widget elementor-widget-text-editor\" data-id=\"i7jzs2k\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Adoption metrics tell you who is logging in. Readiness tells you who actually understands what the tool is doing, when to trust it, and when to override it. Those are very different numbers, and the second one is what predicts whether your investment compounds or stalls.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-k2l48x2 elementor-widget elementor-widget-text-editor\" data-id=\"k2l48x2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\"><strong>3. Make your senior coders and denial specialists context architects, not just users.<\/strong><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-tyjjx5l elementor-widget elementor-widget-text-editor\" data-id=\"tyjjx5l\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Your most experienced RCM staff hold tacit knowledge that no AI has. The unwritten rules. Which payers play games with which CPT codes. Which denials are worth fighting and which are not. If you put AI in front of them and just ask them to &quot;use it faster,&quot; you waste their expertise. If you ask them to teach the system (and the juniors using it) what good looks like, you build something durable.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ajakhth elementor-widget elementor-widget-text-editor\" data-id=\"ajakhth\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\"><strong>4. Be honest about where the floor is now.<\/strong><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-tjihp8j elementor-widget elementor-widget-text-editor\" data-id=\"tjihp8j\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">If AI-assisted coding is delivering measurable lift, the expectations for your team have changed. Pretending otherwise is not kindness, it is avoidance. Naming the new baseline out loud, and giving people the support to meet it, is what real change management looks like.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-acb5oxw elementor-widget elementor-widget-text-editor\" data-id=\"acb5oxw\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\"><strong>5. Resist the urge to stack tools.<\/strong><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c575i3c elementor-widget elementor-widget-text-editor\" data-id=\"c575i3c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Becker&#8217;s reporting on this is clear, and it matches what I see in practice. AI works when it is embedded, not stacked. Every additional tool layered on top of a workflow that nobody redesigned adds cognitive load, not capacity.<\/span><\/p>\t\t\t\t\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-epzsnpr e-flex e-con-boxed e-con e-parent\" data-id=\"epzsnpr\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-dcdqpzo elementor-widget elementor-widget-heading\" data-id=\"dcdqpzo\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">What Becomes Possible<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6zyipvy elementor-widget elementor-widget-text-editor\" data-id=\"6zyipvy\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">I want to close on something hopeful, because I do think there is a lot of opportunity here that gets lost in the anxiety about AI in healthcare finance.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-wawno59 elementor-widget elementor-widget-text-editor\" data-id=\"wawno59\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Revenue cycle is one of the few areas in a hospital where AI can deliver real, measurable value without touching clinical care directly. That is a gift, in a way. It gives leaders a chance to build AI muscle (governance, workforce readiness, vendor selection, measurement) in a domain where the stakes, while real, are operational rather than clinical.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f9iqx49 elementor-widget elementor-widget-text-editor\" data-id=\"f9iqx49\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The teams that use this moment well will not just see better collections or fewer denials. They will build the organizational habits, the trust between humans and tools, the muscle for honest measurement, that they will need when AI starts reaching deeper into clinical workflows. Which it will.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2wu3n9e elementor-widget elementor-widget-text-editor\" data-id=\"2wu3n9e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Honestly, the floor is rising, and that is just true. The question, in my opinion, is whether you are using that pressure to develop your people, or just expecting them to figure it out on their own.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b5wzdwr elementor-widget elementor-widget-text-editor\" data-id=\"b5wzdwr\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The first path is harder up front, but it is also the only one I have seen actually work.<\/span><\/p>\t\t\t\t\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-ywwreqk e-flex e-con-boxed e-con e-parent\" data-id=\"ywwreqk\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-920has1 elementor-widget elementor-widget-heading\" data-id=\"920has1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\"><a href=\"https:\/\/cal.com\/elevida\/discovery-call\">Ready to put people first in your AI strategy?<\/a><\/h3>\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3cybck5 e-con-full e-flex e-con e-child\" data-id=\"3cybck5\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-n46f1k5 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"n46f1k5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/cal.com\/elevida\/discovery-call\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-far-calendar\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M400 64h-48V12c0-6.6-5.4-12-12-12h-40c-6.6 0-12 5.4-12 12v52H160V12c0-6.6-5.4-12-12-12h-40c-6.6 0-12 5.4-12 12v52H48C21.5 64 0 85.5 0 112v352c0 26.5 21.5 48 48 48h352c26.5 0 48-21.5 48-48V112c0-26.5-21.5-48-48-48zm-6 400H54c-3.3 0-6-2.7-6-6V160h352v298c0 3.3-2.7 6-6 6z\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Let's chat!<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\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\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>The Floor Is Rising In Revenue Cycle, And Most Hospitals Are Still Looking At The Ceiling I had a conversation last week with a healthcare leader who asked me a very specific question: &#8220;Where exactly is AI working in revenue cycle right now?&#8221; Not the hype version, but the real one. It is a fair <\/p>\n","protected":false},"author":1,"featured_media":748,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"ocean_post_layout":"","ocean_both_sidebars_style":"","ocean_both_sidebars_content_width":0,"ocean_both_sidebars_sidebars_width":0,"ocean_sidebar":"","ocean_second_sidebar":"","ocean_disable_margins":"enable","ocean_add_body_class":"","ocean_shortcode_before_top_bar":"","ocean_shortcode_after_top_bar":"","ocean_shortcode_before_header":"","ocean_shortcode_after_header":"","ocean_has_shortcode":"","ocean_shortcode_after_title":"","ocean_shortcode_before_footer_widgets":"","ocean_shortcode_after_footer_widgets":"","ocean_shortcode_before_footer_bottom":"","ocean_shortcode_after_footer_bottom":"","ocean_display_top_bar":"default","ocean_display_header":"default","ocean_header_style":"","ocean_center_header_left_menu":"","ocean_custom_header_template":"","ocean_custom_logo":0,"ocean_custom_retina_logo":0,"ocean_custom_logo_max_width":0,"ocean_custom_logo_tablet_max_width":0,"ocean_custom_logo_mobile_max_width":0,"ocean_custom_logo_max_height":0,"ocean_custom_logo_tablet_max_height":0,"ocean_custom_logo_mobile_max_height":0,"ocean_header_custom_menu":"","ocean_menu_typo_font_family":"","ocean_menu_typo_font_subset":"","ocean_menu_typo_font_size":0,"ocean_menu_typo_font_size_tablet":0,"ocean_menu_typo_font_size_mobile":0,"ocean_menu_typo_font_size_unit":"px","ocean_menu_typo_font_weight":"","ocean_menu_typo_font_weight_tablet":"","ocean_menu_typo_font_weight_mobile":"","ocean_menu_typo_transform":"","ocean_menu_typo_transform_tablet":"","ocean_menu_typo_transform_mobile":"","ocean_menu_typo_line_height":0,"ocean_menu_typo_line_height_tablet":0,"ocean_menu_typo_line_height_mobile":0,"ocean_menu_typo_line_height_unit":"","ocean_menu_typo_spacing":0,"ocean_menu_typo_spacing_tablet":0,"ocean_menu_typo_spacing_mobile":0,"ocean_menu_typo_spacing_unit":"","ocean_menu_link_color":"","ocean_menu_link_color_hover":"","ocean_menu_link_color_active":"","ocean_menu_link_background":"","ocean_menu_link_hover_background":"","ocean_menu_link_active_background":"","ocean_menu_social_links_bg":"","ocean_menu_social_hover_links_bg":"","ocean_menu_social_links_color":"","ocean_menu_social_hover_links_color":"","ocean_disable_title":"default","ocean_disable_heading":"default","ocean_post_title":"","ocean_post_subheading":"","ocean_post_title_style":"","ocean_post_title_background_color":"","ocean_post_title_background":0,"ocean_post_title_bg_image_position":"","ocean_post_title_bg_image_attachment":"","ocean_post_title_bg_image_repeat":"","ocean_post_title_bg_image_size":"","ocean_post_title_height":0,"ocean_post_title_bg_overlay":0.5,"ocean_post_title_bg_overlay_color":"","ocean_disable_breadcrumbs":"default","ocean_breadcrumbs_color":"","ocean_breadcrumbs_separator_color":"","ocean_breadcrumbs_links_color":"","ocean_breadcrumbs_links_hover_color":"","ocean_display_footer_widgets":"default","ocean_display_footer_bottom":"default","ocean_custom_footer_template":"","ocean_post_oembed":"","ocean_post_self_hosted_media":"","ocean_post_video_embed":"","ocean_link_format":"","ocean_link_format_target":"self","ocean_quote_format":"","ocean_quote_format_link":"post","ocean_gallery_link_images":"on","ocean_gallery_id":[],"footnotes":""},"categories":[10,30],"tags":[],"class_list":["post-746","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-human-ai","category-leadership-strategy","entry","has-media"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>The Floor Is Rising In Revenue Cycle, And Most Hospitals Are Still Looking At The Ceiling - Elevida<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.elevidagroup.com\/blog\/the-floor-is-rising-in-revenue-cycle-and-most-hospitals-are-still-looking-at-the-ceiling\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Floor Is Rising In Revenue Cycle, And Most Hospitals Are Still Looking At The Ceiling - Elevida\" \/>\n<meta property=\"og:description\" content=\"The Floor Is Rising In Revenue Cycle, And Most Hospitals Are Still Looking At The Ceiling I had a conversation last week with a healthcare leader who asked me a very specific question: &quot;Where exactly is AI working in revenue cycle right now?&quot; Not the hype version, but the real one. 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