How automation can reduce administrative costs in healthcare

by Experian Health 6 min read October 11, 2024

How-automation-can-reduce-administrative-costs-in-healthcare

According to a new report by the American Hospital Association, administrative costs now make up over 40% of total hospital expenses. Hospitals and health systems spend around $40 billion annually on billing and collections alone. For revenue cycle managers, the pressure is building as administrative tasks like insurance eligibility verification, claims management and payment processing overwhelm their teams and drain budgets.

However, a sizeable chunk of these costs—perhaps as much as $18.3 billion—could remain in hospitals’ hands if certain administrative tasks were automated. Automating key revenue cycle management (RCM) workflows improves efficiency, accuracy and cash flow, while easing staff stress and expediting patient care. Could it be the secret weapon to alleviating administrative burdens? This article looks at the issues in further detail, and explores 5 use cases that show how automation can reduce administrative costs in healthcare.

Understanding administrative costs in healthcare

Spending on healthcare administration in the U.S. has risen from $654 per person in 2013 to $925 in 2021. Administrative costs cover the resources needed to manage the non-clinical aspects of care. These resource requirements are immense in a complex system with multiple payers, fragmented data systems and growing regulatory demands. Add persistent staffing shortages and increasing patient volumes to the mix, and it’s easy to see how costs spiral out of control – especially when relying on inefficient systems.

The billions of dollars and hours of staff time consumed by administrative tasks make it clear that resources are not being used most effectively. This is where automation can make a difference.

The role of automation in healthcare

Automation reduces human errors, speeds up workflows and accelerates cash flow. It frees up time, money and headspace to optimize services and improve patient experiences. It’s no wonder it’s gaining traction in revenue cycle management.

However, many providers are not fully capitalizing on automation’s potential: Experian Health’s latest State of Claims 2024 report shows that fewer healthcare administrators feel their organization’s technology is sufficient to meet RCM demands compared to two years ago. How can they tap into the benefits of automation to reduce administrative costs?

Benefits of automation and how it can reduce administrative costs in healthcare

Automating healthcare administration is about doing more – and better – with less. Some of the benefits include:

  • Fewer errors in billing, coding and claims management. Fewer mistakes mean fewer denials, which translates to faster payments and less rework.
  • Reducing time to get paid, as automated processes speed up claim submissions, insurance verification and payment collections. Cash flow improves and staff spend less time chasing payments.
  • Alleviating staffing shortages, as automation takes care of repetitive tasks like data entry, payment reminders and reporting. Management can reduce the burden on overworked staff and curb training costs, while teams can focus on “value-added” work.
  • Improving efficiency in every corner of the revenue cycle. Automating routine tasks makes the entire billing and revenue cycle process more efficient, allowing teams to handle more work in less time without increasing headcount.
  • Happier patients (and a better-looking bottom line). Automation makes it easier for patients to understand their bills, set up payment plans and pay their balances online. Satisfied patients are more likely to pay on time, reducing the cost of chasing overdue payments.

Implementing automation in healthcare

When it comes to reducing administrative costs, selecting the right parts of the workflow to automate is key. Here are five possible use cases to consider:

1. Streamline insurance eligibility checks

“Checking if my insurance was accepted was a fast and friendly process. The staff even helped clarify which insurance was the right one for me since I had multiple cards.”

This is what one patient at Providence Health said, after the health system switched to automated insurance eligibility verification. Insurance Eligibility Verification connects to over 900 payers and automatically checks patients’ coverage and plan-specific benefits information in real-time. This reduces the manual effort required by staff and prevents the delays and denials that lead to additional administrative costs. As the patient notes, it means patients get early clarity about how their care will be funded, so there are no surprises later.

Read the case study: How Providence Health found $30M in coverage and reduced denials with automated eligibility checks.

2. Automate claims submission

More than half of healthcare administrators say that claims errors are increasing. A quick win would be to use automation to pre-fill patient data and avoid the inconsistencies and typos that occur with manual input. A more significant gain could come from combining multiple automations to populate, check and track claims submissions. Tools like ClaimSource® can automate the entire claims cycle in a single application. Indiana University Health (IU) utilized ClaimSource to process $632 million in claims transmissions in just one week, after a halt to their operations.

Summit Medical Group paired Claim Scrubber with Enhanced Claims Status to improve claims submission. Claim Scrubber ensures all claims are complete and accurate before being sent to the payer, and generates alerts so staff can intervene quickly if an error pops up. Enhanced Claim Status automatically pings payers for status requests so staff can spend less time seeking updates and accelerate follow-up activities. With this approach, Summit boosted their first-time pass-through rate to 92% and reduced accounts receivable days by 15%.

Experian Health was client-rated #1 by Black Book™ ’24 in Denial & Claims Management Outsourcing, Health Systems.

3. Improve denial management

Denials remain one of the biggest pain points for providers. Payers are miles ahead in their use of automation and artificial intelligence (AI), using sophisticated machine learning tools to process and deny claims at scale.

Experian Health’s flagship AI-powered denial management solution, AI AdvantageTM, can help close the gap. This tool “learns” from an organization’s historical claims data and trends in payer behavior to predict the probability of denial. It also identifies and segments denials so staff can prioritize those with the highest chance of being reimbursed, reducing the time and cost of manual appeals and rework.

4. Accelerate patient payments

On the patient side, automation can be deployed to send patients reminders about outstanding balances, set up payment plans and process payments quickly and securely. Simplifying patient billing makes it easier for patients to pay, which increases collections rates while reducing the need for follow-up calls.

Read more: 5 ways patient payment software improves patient satisfaction

5. Generate better financial reports

Another smart use case for automation is generating real-time revenue cycle performance reports. With advanced data and analytics, staff no longer need to spend hours compiling information, while managers get faster, reliable information to inform strategic decisions. Experian Health’s healthcare data analytics turns raw data into business-ready information to find potential sources of revenue leakage and boost financial performance.

The future of healthcare automation

Automation is already helping reduce administrative costs in healthcare by relieving staff of the tedious, time-consuming, repetitive tasks that drain time and money. However, many still rely on old data systems that don’t work well together, leaving revenue opportunities slipping between the cracks. Choosing solutions that improve integration and interoperability will continue improving data-sharing between platforms and services, further reducing errors and delays.

Looking ahead, automation and AI will play an increasingly major role in handling complex tasks in revenue cycle management. RCM leaders will find even more opportunities to minimize manual intervention and lower administrative overheads as these tools evolve.

Learn more about how Experian Health’s automated Revenue Cycle Management solutions help reduce administrative costs in healthcare and create more resilient revenue cycles.

Related Posts

Andy’s New WP Workflow Test Article Using Quick Edit

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.

October 2, 2026 by Andy.Monte@experian.com
Experian Health ranked #1 in Best in KLAS for 2025

Experian Health is very pleased to announce that we've ranked #1 in the 2025 Best in KLAS: Software & Services report, for our Contract Manager and Contract Analysis product, for the third consecutive year. Contract Manager, when paired with Contract Analysis, empowers healthcare providers by ensuring payers comply with contract terms, identifying and recovering underpayments, and arming them with real claims data to negotiate contracts. This enables providers to negotiate more favorable terms and maintain financial stability.  Clarissa Riggins, Chief Product Officer at Experian Health, says, “In the ever-evolving healthcare landscape, our Contract Manager solution has once again been recognized as the #1 Revenue Cycle Management tool by KLAS for the third consecutive year. This prestigious ranking underscores the significant value our solution delivers to our clients by identifying underpayments and facilitating revenue recovery. We are honored to continue supporting our clients with innovative solutions that drive financial success and operational efficiency.”  Learn more about how Contract Manager and Contract Analysis can help your healthcare organization validate reimbursement accuracy, recover underpayments and boost revenue.   Learn more Contact us

February 5, 2025 by kelly.nguyen
How to increase patient engagement

Learn how providers can increase patient engagement, why it matters and key strategies that deliver improved end-to-end patient experiences.

January 30, 2025 by Experian Health

Spotlight test

Spotlight Description

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Sticky Subscribe Title

Sticky Subscribe Description
Sticky Subscribe

Testing Spotlight Paragraph block

Testing the spotlight block header

Archive Testing

Categories