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New data reveals that the number of healthcare data breaches continues to climb, causing financial and reputational damage to healthcare providers. HIPAA Journal reported 692 large healthcare data breaches between July 2021 and June 2022 that exposed the records of over 42 million individuals. The number of records breached in June 2022 was more than 65% higher than the monthly average over the previous year, highlighting the need for providers to stay on top of their game when it comes to protecting patient data. In a recent conversation with PYMNTS, Chris Wild, Experian Health’s Vice President of Adjacent Markets and Consumer Engagement, discussed the consequences of healthcare data breaches and set out the key steps providers should take to prevent and resolve security incidents. Compromised patient records send financial and reputational costs soaring IBM reports that financial damages resulting from data breaches have reached a 12-year high, with the average breach in healthcare costing $10.1 million, up nearly $1 million since 2020. Wild notes that this includes a huge range of costs, from HIPAA fines to operational costs to curb and resolve breaches: “The cost of dealing with a breach is enormous. There’s anything from penalties of $100 per incident to $1.5 million per year. You’ve got reconciliation costs – trying to patch the holes in technology stacks and things like that. You’ve also got inbound phone calls from concerned patients who’ve just heard about a breach and want to know if it impacts them.” But Wild says that beyond HIPAA fines and operational expenses, the greatest cost is repairing the reputational damage of breaching patient trust: “the reputational cost is enormous because once you lose a patient, you lose a patient.” Wild suggests a two-pronged approach to mitigate the risk and impact of a healthcare data breach that focuses on prevention and preparation. Protecting patient identities to deliver a satisfying and secure consumer experience  An unfortunate side effect of the accelerated adoption of digital health solutions during the pandemic was that it opened the door to new methods of medical crime and fraud. Patients interact with their data electronically more often, thus increasing their vulnerability to cyber-criminal attacks. Preventing infiltration by bad actors before they occur should be the priority. In the past, efforts to secure a patient’s identity have relied on personal security questions, considered unanswerable by anyone but the patient. However, Wild says that asking for past addresses and details of previous living arrangements may no longer be the gold standard: “We’re finding that this is a little bit passé now. There’s a lot more that goes into identifying somebody, and that goes along with improving security, but it also improves the patient experience. There’s always been a balance between trying to make sure that data is secure on the one hand, but also make sure that it’s easy to access on the other.” To this end, providers should look for patient engagement solutions that deliver a flexible, convenient and consumer-friendly patient experience, while ensuring that patient data is secure. Wild suggests a few specific strategies, such as monitoring device ID and validating the identification documents used during patient registration: “When you have your cell phone or your tablet or your laptop, or your computer, or even your voice assistant devices, they all have a device ID. We keep track of those and see which ones are being naughty, which ones are being nice. We can start to ramp up when we see a naughty device acting naughty. But also think about things like document verification, validating that a driver’s license being shown to a registrar is actually a real driver’s license, or things of that nature.” A multi-layered approach to securing patient portals and other digital patient access tools will ensure there is no single point of vulnerability. Experian Health’s patient portal security solutions with Precise ID include a range of protections, including two-factor sign-in authentication, device intelligence and additional checks on risky requests to proactively secure patient identities. Each element protects against a specific type of threat, building up defensive depth to thwart attempts to breach patient data. Responding quickly in the event of a healthcare data breach Prevention only goes so far, though. Evidence suggests that most healthcare providers will be hit by a data breach at some point. Wild suggests that regular “fire drills” can help ensure that everyone in the organization knows how to respond, should the worst happen: “For a healthcare data breach or any sort of misappropriation of patient or member data, you want to make sure you’re keeping things safe, keeping things secure, and make sure that all of the associated people know what to do.” Wild says this must include front desk staff who will be answering phones from worried patients, through to marketing teams who will need to put out proactive messages about what happened and how it will be dealt with. How a provider responds may have an even greater impact on their reputation and patient loyalty than the breach itself. All of this can be pulled together in a data breach response plan, which sets out exactly what needs to be done and by whom, to help organizations avoid missteps in the aftermath of a breach. Experian Health’s Reserved ResponseTM program can help healthcare organizations put together a data breach preparedness plan in as little as three days. The program is based on 17 years of real-world experience dealing with data breaches and has evolved as security threats and consequences have increased. The program offers providers guides, templates, checklists and service-level agreements to guarantee manpower, infrastructure and response readiness at the most crucial moments. As the uptake of patient portals and other digital patient access solutions accelerates, finding the right data security partner to help navigate the unprecedented threats and consequences will be essential. Watch the full interview with Chris Wild and find out more about how Experian Health helps healthcare providers protect patient identities to prevent healthcare data breaches.

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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.

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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