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The evolution from paper to online medical records is an opportunity to engage patients more fully in their care while making healthcare organizations more efficient. However, while patients enjoy the convenience of self-service access to all of their medical information, the portals offer cybercriminals a one-stop-shop for identity theft as well. According to Identity Theft Resource Center in San Diego, medical identity theft is the fastest growing type of identity theft, increasing at 32% annually. In fact, healthcare-related data breaches are already 10 times more frequent than data breaches in the financial services sector. And unlike stolen credit card information, which is often detected within a few transactions, medical identity theft often goes undetected for over a year. The comprehensive data contained in patient portals is especially lucrative to fraudsters, demanding a premium price in the underground market. While a stolen credit card number may sell for a dollar, a full set of medical records can command hundreds of dollars. The breadth of data within a patient portal offers fraudsters multiple opportunities to “cash in.” Compounding the problem is the level of detail presented on patient portals, often including unmasked insurance IDs, full images of patients’ insurance cards, problem lists, prescription histories. Stolen medical identities are used by criminals in two ways: obtaining medical care under the victim’s identity and using the identities to fraudulently bill for services or durable goods, which were never delivered. Problem lists, which are a mandated component of patient portals, are particularly useful to criminals, because they allow classification of each victim by the type of fraud which their identity could support. The problem lists typically use standard terminology, which makes them particularly useful for classification purposes. Using malicious software, criminals can search the lists for “key words” describing conditions that demand specific types of services or durable goods. This targeted approach would make fraud more personalized to the victim’s profile and harder to detect. Most patient portals use simple password protection, which can be easily captured by key-logging malware. This type of malware lays dormant on the victim’s machine, waiting for the victim to log into a patient portal site. When the patient logs in, the malware wakes up and captures the victim’s username and password. Using the stolen credentials, the criminals can get into the site, and once in can collect extensive information about the victim. Medical identity theft has severe consequences for both patients and providers. Patients are faced with the financial costs of covering fraudulent bills and medical costs stemming from treatment of other individuals. Comingling of the victim’s and the criminal’s medical records can also put the patient in life-threatening situations if treated or diagnosed incorrectly. Providers face steep financial costs from retribution payments and HIPAA violation fees up to $1.5M per violation, however arguably the most significant consequence they face is damage to reputation. Complicating matters is the fact that security measures cannot be so onerous that they dampen consumer adoption. Towards that end, use of covert technologies to analyze the identities and devices enrolling into a patient portal or logging in to it can increase security without impacting user experience. Precise ID® with FraudNet for healthcare portals provides healthcare organizations with a way to confidently authenticate patients and reduce risk during enrollment and ongoing access to healthcare portals. It does so in a streamlined manner without burdening patients with increased wait times and complexities. Together, these solutions identify fraud, authenticate patients and validate devices – all in a single platform. To learn more, view Experian Health’s complimentary on-demand webinar, “The Hidden Risks of Healthcare Portals,” or download the new white paper, “The Pitfalls of Healthcare Portals,” where we outline why your portal may be more vulnerable than you think.

It’s only natural to want to be fairly, fully and quickly reimbursed for services – it’s the basic foundation of business. Yet only in healthcare does attaining this basic transactional norm become challenging. Healthcare providers must be vigilant at all stages in the revenue cycle to ensure the amount they receive is timely and accurate. Achieving this deceptively simple goal is dependent upon insight – the ability to discern the true nature of a situation and to respond appropriately. Applying insight at critical points in the claims lifecycle can make a marked difference in reducing denials and accelerating payment.  The foundation of a successful claims management strategy begins with contract management, where advanced analytics and data-driven insight can help you quickly and easily pinpoint payment variances and validate reimbursement accuracy for each of your third-party payers. Ensuring compliance with contract terms allows you to identify recurring issues so they can be promptly addressed, while providing the ability to strategically evaluate overall contract performance. Once you achieve visibility of the contract process, you can apply those findings to other areas, such as claim scrubbing. Boosting the first-time pass through rate eliminates costly, time-consuming rework and speeds reimbursement. A strong claims scrubbing approach involves taking time, prior to submission to the appropriate payer or clearinghouse, to ensure the claim is complete, accurate and meets individual payer requirements. Once the claim is submitted, it’s not a matter of “out of sight, out of mind.” Tracking claim status early in the adjudication process – rather than waiting for a denial to appear on your desk – helps improve cash flow and maintain a healthy revenue cycle. An online payer portal provides instant insight into the status of each claim and gives you the ability to determine if a claim is lost, denied, pending or being returned. Regardless of how well you scrub claims before submission, it’s likely that a certain percentage will be denied. You can optimize and accelerate payments by quickly and efficiently identifying denied claims for analysis and re-submission. Use technology to ensure denied claims aren’t overlooked and streamline the workflow associated with claims management. Finally, taking a comprehensive look at all pending claims and denials allows you to prioritize claims and denials so that your staff can work the highest impact accounts first to improve efficiency and increase revenues.  Advanced technology that provides insight into contracts, payer requirements, claims status and denials holds the key to reducing the claims processing errors that add an estimated $1.5 billion in unnecessary administrative costs to the nation’s health system. Few healthcare organizations can afford to receive less than their fair reimbursement for the care they provide. By implementing a strategic approach that grants insight into each component of the process, healthcare organizations can bolster the bottom line and streamline efficiencies along the way. To learn more about how to turn these strategies into tangible results, register for our Dec. 3 Webinar, “5 Ways to Accelerate Your Claims Payments.”

There’s a unique dichotomy in healthcare that’s not found in other service industries. For example, when you go out to eat at a restaurant, you don’t expect the server to ask you to pay before the meal is served. Conversely, you also don’t expect to walk out of the restaurant after the meal without paying. However, if you have ever ordered the special of the day and been shocked when the check arrives and the item costs twice as much as other menu items, you can certainly understand the patient’s viewpoint. How can a patient make informed choices about his or her healthcare without knowing the cost? Price transparency – one of today’s hottest healthcare topics – offers significant benefits to both providers and patients, including: Empowering the patient to make well-informed decisions on healthcare treatments Improving patient satisfaction and involvement with their care management Allowing appropriate upfront collections based on realistic estimates Serving as a foundation for establishing payment plans or seeking charity The difficulty of providing a reliable estimate has hindered efforts to collect from patients at the point of service, when they are most likely to pay. In order for the estimate to be relevant and timely, it must bring together financial data from the chargemaster, claims history and payer contract terms, and integrate that with the patient’s insurance benefits. Thankfully, this is a task that is ideally suited to technology. Not only can you use a payment estimator to quickly and easily create a targeted estimate, healthcare organizations can also eliminate the need to manually update price lists, as well as remove guesswork and tedious searches through potentially outdated patient information. An estimator is the base of an effective upfront collections strategy, and is complemented by the ability to determine if a patient is eligible for charity care in addition to their propensity to pay. An additional complement is to streamline the payment process by facilitating the collection of patient open balances through eChecking, signature debit, credit, recurring billing, cash, check or money orders. The ability to create price transparency that is applicable to each patient’s individual situation is critical to a healthcare organization’s financial performance.

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.

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

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