5 strategies on how to increase outpatient revenue

by Experian Health 6 min read December 2, 2024

5 strategies on how to increase outpatient revenue-blog

The growing shift from inpatient to outpatient care continues. The U.S. ambulatory services market was estimated at USD 289.5 billion in 2023 and is projected to grow at a CAGR of 5.38% from 2024 to 2030. A Deloitte study notes that the gap between inpatient and outpatient revenue has been closing for two decades. But what’s driving this boom? Clinical advances, patient demand for lower-risk and lower-cost options and payer pressure all play a role.

New technologies, like advances in orthopedics, allow more procedures to be performed at outpatient service centers instead of costly hospital settings. Free-standing ambulatory surgery sites are expected to see a 14% volume boost over the next decade as more service lines, like cardiovascular and neurosciences, begin to shift procedures from inpatient to outpatient facilities.

The ongoing growth in outpatient services presents a unique opportunity for revenue cycle leaders to use technology to improve outpatient revenue—and the overall patient experience.

Grow outpatient revenue with more digital care

Patients want a better experience at every step of the patient journey. They want to see their doctor faster, manage appointments online and understand how much it costs—with as little red tape as possible. A lack of streamlined patient access and transparency often results in no-shows, a rise in claims denials, wasted staff time and patient complaints. However, by opening the digital front door, providers can give patients the self-service tools they crave, improve the care experience, keep outpatient schedules full and increase revenue. Additionally, providers can use technology like artificial intelligence (AI) to lower claim denial rates.

Here are five strategies to increase outpatient revenue in 2025.

1. Make patient access simple

Patients want to see their doctor faster. In Experian Health’s latest State of Patient Access survey, eight in ten patients who reported being unhappy with their provider experience cited waiting for an appointment as a top complaint. When trying to schedule, patients are also frustrated by the friction that comes with complex processes, clunky technology systems and sparse provider communication.

Outdated manual workflows, staffing shortages and lack of staff training often result in challenges for both patients and providers. Improved patient access is at the heart of patient-centered healthcare. Technology designed to put the patient in control, like online patient scheduling and digital patient intake tools, offer continuous patient engagement, optimized scheduling, and streamlined administrative processes. By leveraging modern patient access solutions, providers can improve patient experiences and alleviate the impact of staffing shortages.

2. Reduce appointment no-shows

Missed appointments cause headaches for patients, providers, and revenue cycle managers. Online scheduling and mobile registration are also top of mind for patients. In Experian Health’s State of Patient Access 2024 survey, 89% of patients said they wanted self-service scheduling and 85% reported a dislike for filling out repetitive intake paperwork.

Online patient scheduling software puts patients in the driver’s seat, providing convenient and secure 24/7 access to book, reschedule, and cancel appointments on their own time. Solutions like Patient Schedule sync seamlessly to an organization’s scheduling rules, and patients receive automated appointment reminders by text or IVR. On average, providers that use Experian Health’s scheduling solution experience an 89% show rate, a 50% reduction in scheduling time, and a 32% increase in patients per month.

Patient intake tools like Registration Accelerator simplify mobile registration with a streamlined text-to-mobile experience. Once registration is complete, automated returns of forms, patient-check-ins and demographic information ease the burden on staff.

3. Help patients prepare for outpatient costs

Patients need a clear breakdown of their financial responsibility before receiving care. Without it, they may be unable to prepare for care costs appropriately. While hospitals are now required to share detailed pricing for at least 300 common procedures, confusion around a patient’s actual financial responsibility still persists. More than half of patients report turning to their provider for help understanding what insurance covers.

Digital solutions that provide accurate, upfront estimates empower patients. More than eight in ten patients say pre-service estimates help them prepare for the cost of care. Patient Payment Estimates provide upfront, real-time estimates of what a patient will owe. Providers can offer convenient and secure payment links, and allow patients to pay their bills online or see customized payment plans.

Outpatient providers can further maximize the chance of reimbursement by running health insurance coverage checks across the entire revenue cycle. This can help find billable coverage that may have been forgotten and give patients greater certainty about what they’ll owe.

4. Automate healthcare collections

Collections are often a major challenge in the outpatient revenue cycle. Outpatient procedures can be costly, even with insurance, leaving patients responsible for potentially large bills. Automating healthcare collections allows for faster, more efficient, and more compassionate collections. Tools like Collections Optimization Manager helped Novant Health achieve an overall recovery rate of 6.5% and increase revenue and cost savings to a rolling average return on investment of 8.5:1.

With automated tools like Patient Financial Clearance, providers can assess patients’ ability to pay and assign them to an appropriate financial pathway. This allows patients to quickly get the assistance they need while freeing up valuable staff time.

5. Streamline claims to increase outpatient revenue

Denied claims continue to be problematic for providers. In Experian Health’s State of Claims 2024 report, which surveyed 210 healthcare revenue cycle leaders, nearly three-quarters of providers feel claims denials are increasing, while 67% feel getting paid is taking longer. Claims management software can help end the cycle of denials. However, around half of providers still use a manual claims review process, and only 28% feel confident in their understanding of automation, machine learning and AI.

Adopting automated and integrated healthcare claims management solutions can reduce errors, prevent undercharges, and ensure a higher first-pass payment rate. Tools like Experian Health’s ClaimsSource® simplify the entire claims process, while Claim Scrubber helps providers submit more accurate claims. Digital solutions can also automate claim status monitoring and eliminate manual denial processes.

Implementing AI tools to interpret past claims data and recommend next steps can improve outpatient claim denial statistics. Tools like AI AdvantageTM look at past payer behavior and historical claims data to predict and prevent denials.

AI Advantage’s two components, Predict Denials and Denial Triage, help providers respond to growing denial challenges by identifying claims with a high likelihood of denial before submission, and focus on remits that have the most impact. See how:

Find out more about how Experian Health’s revenue cycle management solutions can help healthcare organizations increase outpatient revenue, keep pace with growing patient volumes, improve patient satisfaction and boost their bottom lines.

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Key takeaways: Revenue cycle teams can use automation to reduce repetitive work and apply AI where data-driven prediction, matching or prioritization can improve a workflow. Experian Health’s 2025 State of Claims survey found that 41% of providers now face denial rates of 10% or higher, while 68% say submitting clean claims is more challenging than a year ago. Patient Access Curator™ (PAC) uses AI to support front-end data validation and insurance discovery, while AI Advantage™ helps teams predict denial risk and prioritize denial follow-up. Artificial intelligence (AI) and automation can support administrative work in healthcare. In the revenue cycle, teams depend on accurate information, timely decisions and efficient follow-up to keep claims moving. In revenue cycle management, AI and automation can help organizations reduce manual checks, find data gaps, predict denial risk and prioritize work queues. These tools are most useful when they support staff judgment, payer expertise and compliance oversight. They can handle repetitive, data-heavy tasks so staff can focus on exceptions and decisions that need human review. In 2023, McKinsey & Company reported that research suggests effectively deploying automation and analytics could eliminate $200 billion to $360 billion of spending in U.S. healthcare. For revenue cycle leaders, the practical question is where to apply those capabilities first. The case for applying AI and automation in healthcare Revenue cycle teams juggle many daily tasks. Staff collect and verify patient information, confirm eligibility, identify the right payer, submit clean claims, monitor status, work denials and manage collections. Small data gaps at the beginning of the process can create downstream rework and delays. Rework also consumes staff time, adding to these operational pressures. As costs rise and revenue cycles tighten, there is increasing pressure to do more with less. Experian Health’s 2025 State of Claims survey found that 54% of providers say claim errors are increasing and 90% of claim denials are reworked with at least some human review before resubmission. Providers are also managing broader financial and administrative pressures. The American Hospital Association has reported that prior authorization requirements, claim audits, denials and other payer policies add administrative burden and cost for hospitals and health systems. These requirements also consume staff time to appeal denials and manage payer processes. AI and automation are different but complementary. Automation follows defined rules to complete repeatable work. AI models can identify patterns in data, predict risk and help teams decide where to focus attention. When used together, they can support more consistent revenue cycle workflows. How AI and automation can support revenue cycle workflows Revenue cycle management automation and AI are most useful when tied to a specific workflow and a measurable operational problem. The goal is to help teams act earlier, reduce avoidable rework and focus staff time where judgment is needed most. For example, automation can complete rule-based eligibility checks. AI can help identify claims with a higher likelihood of denial. In insurance discovery workflows, AI can also help identify coverage that wasn’t captured at registration. When these tools fit into existing workflows, they can support more consistent decisions and reduce manual work. Three practical applications include: 1. Improving front-end data quality with Patient Access Curator Patient and coverage information collected early in the revenue cycle can affect downstream claim outcomes. Incomplete or outdated demographic details, eligibility responses, coordination of benefits or Medicare Beneficiary Identifier information can create problems that lead to claim delays or denials later in the cycle. Experian Health’s Patient Access Curator helps prevent claim denials by validating demographics, eligibility, insurance discovery, coordination of benefits and Medicare Beneficiary Identifier data in seconds. PAC’s AI and machine learning capabilities help improve match accuracy, coverage sequencing and data confidence by writing the validated data back into the host system and sequencing payers before the claim is created. This automates work that would otherwise require manual coverage checks. 2. Using insurance discovery to find coverage not captured at registration When active coverage isn’t identified during registration, claims may be delayed or submitted with incomplete insurance information. Insurance discovery looks for coverage that may not have been captured during registration. Patient Access Curator includes insurance discovery as part of its front-end validation workflow. It can help identify and correct missing or incorrect insurance information so claims can be submitted with more complete coverage data. 3. Using AI to prevent and prioritize denials Even with strong front-end processes, some claims still require additional attention. AI can help claims teams decide which claims to review before submission and which denials to work first after payer response. Experian Health’s AI Advantage supports two denial management use cases:1. AI Advantage – Predictive Denials uses a client’s historical claims data and Experian’s knowledge of payer rules to identify claims with a high likelihood of denial before submission so teams can take corrective action.2. AI Advantage – Denial Triage uses AI to segment denials and identify those with the highest potential for reimbursement. This approach can help teams prioritize with more confidence. Rather than treating every claim or denial the same way, teams can use predictive models to focus on the work that needs the most attention. Potential benefits of AI and automation in the revenue cycle A high-performing revenue cycle depends on timely, accurate and consistent work. AI and automation can help providers modernize that work without losing the expertise of the people who manage complex payer and patient situations every day. When applied to the right workflows, these tools can help organizations: Reduce manual data searches that take staff away from higher-value work Improve front-end data quality before claims are created Identify missing or incorrect coverage information earlier Spot claims that may be at higher risk of denial Prioritize denied claims by potential reimbursement Reduce rework caused by inaccurate or incomplete information Give staff more consistent information for follow-up decisions A focused AI strategy starts with the workflow problem, uses data that is relevant to that problem and keeps staff in control of judgment-based decisions. A more proactive approach to revenue cycle management Revenue cycle teams can move from reactive work toward a more proactive approach: catch errors earlier, validate coverage before claims are created and prioritize the claims and denials that need the most attention. Experian Health offers revenue cycle solutions that use AI and automation in targeted ways to support front-end data quality, reduce rework and manage denials. Patient Access Curator supports registration and coverage validation, while AI Advantage supports denial prediction and triage. Learn more about Experian Health’s Patient Access Curator and AI Advantage.

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