Patient access solutions for healthcare providers

by Experian Health 6 min read July 11, 2024

According to Experian Health’s State of Patient Access Survey 2024, eight in ten healthcare providers plan to invest in patient access improvements soon. As they weigh up the pros and cons of different solutions, many will focus on two key areas: making scheduling and registration easier for patients, and streamlining financial processes to boost their profitability. This blog post examines how automated patient access solutions can help providers meet patient expectations and operational demands.

Survey snapshot: what do patients want?

Experian Health’s annual State of Patient Access surveys are useful pulse checks on patient perceptions. What do patients find challenging about accessing care? Where are they bumping up against unnecessary friction?

The 2024 survey offers a promising outlook: 28% of patients report improvements in access in the last year, up from just 17% in 2023. Still, there is room for improvement: patients’ biggest challenge – seeing a practitioner quickly – has topped the list for the last four years. Other significant challenges include understanding the cost of care and scheduling appointments.

The State of Patient Access 2024 survey examines the perspectives from patients and providers on their perceptions of access to healthcare.

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One key takeaway from the survey is the role of digital technology. Both patients and providers find complex, repetitive and inefficient processes to be the most problematic aspects of patient access – ideal targets for digital tools. Indeed, patients specifically express a desire for online health management tools, while more than half of providers attribute improvements in patient access to automated processes.

There’s a solid business case for investing in digital patient access solutions to ensure that patients see their doctors quickly and providers get paid without delay.

Patient access solutions can open the digital front door with online scheduling and registration

The first area where providers may consider investing in digital tools is in the patient’s first interactions with their facility. When patients can schedule appointments quickly and complete registration without boring and repetitive paperwork, they’re more likely to report a positive patient experience. Survey data backs this up:

  • 89% of patients say the ability to schedule appointments any time, via online or mobile tools, is important to them
  • 89% of patients say digital or paperless pre-registration is important to them.

Online self-scheduling gives patients 24/7 access to book, cancel, and reschedule appointments from any device. Based on scheduling rules, they’re shown the earliest suitable appointment, which means they’ll see their doctor as soon as possible. Patients can be sent automated reminders of upcoming appointments and health checks, which means show rates and health outcomes will be better. It also drastically reduces call volumes so staff can focus on other priorities.

Similarly, digital registration lets patients avoid the most dreaded part of patient intake: filling out lengthy forms in the waiting room. Automated registration also ensures that patients (specifically their data) are correctly entered into the system, preventing downstream delays.

With text-to-mobile registration, patients are sent a text message prompting them to scan their identity and insurance cards, which are then uploaded and validated against existing records. Securing correct information from the start lays the groundwork for the patient’s healthcare experience and the provider’s revenue cycle.

Interestingly, despite patient demand, self-scheduling and registration did not make the cut for providers’ top three priorities. This suggests an untapped opportunity for providers that choose to invest here.

Anthony Myers, Director of Patient Access at West Tennessee Healthcare, shares how their organization worked with Experian Health to accelerate and improve the registration process with Registration Accelerator.

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Patient access solutions can streamline insurance, eligibility and estimates

A second opportunity lies in automating the patient access processes involved in revenue generation and claims submission. The revenue cycle is full of hidden costs for both patients and providers, often resulting from intake inefficiencies. Patients end up with bills that are higher than expected, while providers fall foul of changing payer requirements around prior authorizations and insurance eligibility verification, resulting in lost revenue. Improving upfront pricing estimates and clarifying insurance coverage ranked among the most urgent priorities for both groups in the survey.

A few patient access solutions that can help here include:

  • Patient estimates: When patients know in advance how much their care will cost, they can plan better. Web-based and mobile-enabled price transparency tools generate accurate estimates based on chargemaster data, claims history, patient insurance details and payer contract terms, and even account for payment plans and prompt-pay discounts. This improves the patient experience and increases collection rates while easing the burden on staff.
  • Insurance eligibility verification: Manual processes for verifying active coverage are time-consuming and error-prone, causing staff burnout and patient confusion. Automating insurance verification checks at the time of service gives everyone greater certainty and prevents payment delays and claim denials.
  • Personalized payment plans: By using their own data, along with third-party datasets, providers can leverage automation to offer alternative payment plans to patients who cannot pay the full amount right away. For example, PatientSimple® assesses each patient’s propensity to pay and recommends the optimal financial plan that works for the patient’s unique circumstances. Patients can check estimates and compare pricing plans on the self-service portal, giving them more control over their bills.

These options promote financial sustainability by quickly identifying how much should be paid by which party and establishing processes to collect those amounts with minimal fuss. With ongoing staffing shortages, these time-saving tools are crucial for workforce resilience.

Integrate patient access solutions with Patient Access Curator

While providers may prioritize one of the above areas, the two are complementary: efficient scheduling and registration lead to better patient flow and accurate data collection, accelerating insurance and eligibility verification. This is more likely with an integrated “tech stack” across the whole patient access workflow.

However, integration is a challenge for many providers. Nearly a quarter report that their biggest challenge in patient access is wrangling the multitude of tools needed to run pre-registration checks and gather the information necessary for claim submissions.

Experian Health’s newest patient access solution addresses this challenge by bringing together multiple insurance-related queries together into a single inquiry. With one click, Patient Access Curator automatically captures all relevant patient insurance data in less than 30 seconds. This includes:

  • Eligibility verification, including billable secondary and tertiary coverage, chaining and primacy
  • Coordination of Benefits, analyzing payer responses in real-time using AI to ensure no active insurance is missed
  • Medicare Beneficiary Identifiers, using AI, automation and analytics to check and correct patient identifiers
  • Patient demographics, using in-memory analytics and proprietary algorithms to ensure contact details are current
  • Coverage and financial status, including automatic checks to find any existing coverage for accounts marked as self-pay or unbillable, and generate a summary of each patient’s propensity to pay.

With over $1 billion saved in prevented denials by clients using Patient Access Curator, it’s clear that investing in digital technology is a cost-effective way to address current challenges in patient access. By increasing capacity and reducing errors and delays, these tools not only enhance financial performance, but give providers a head start when it comes to delivering an outstanding patient experience.

Learn more about how Experian Health’s patient access solutions accelerate access to care and streamline revenue generation from the start.

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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. 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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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